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10 Best AI Video Editing Software Tools That Save You Hours in 2025

Why this list now
People keep asking for “AI video editing” tools in marketing and creator forums. In r/DigitalMarketing, several threads mention peers getting “great results,” and others want to know which tools to use. The demand is real and the market is fragmented. That’s a good time to do a practical, unbiased roundup with workflows.
AI video editing in 2025 covers three buckets:
AI-assisted editors: transcript editing, auto multicam, silence removal, auto reframing, captions.
Fully generative tools: text-to-video and scene transforms.
Repurposing/automation: turn long content into clips, standardize captions/branding, and distribute.
Everything listed here exports at least 720p, with many up to 4K.
A note on testing and context: several independent reviews I referenced used standard Windows 11 PCs, not dedicated edit rigs. Differences among the top tools are smaller than most people expect. Use free trials before you decide.
How we chose
Broad import/export support and flexible media libraries
UI matched to skill level (beginner to pro)
Efficient editing across codecs (fast timeline scrubbing and renders)
Production features: transitions, stabilization, color, audio denoise, captions
AI time-savers: transcript editing, auto-cuts, silence removal, reframing, multicam, captioning, generative assists
Reliability and ecosystem: plugins, NLE handoffs, communities, documentation, learning resources
The 10 best AI video editing software tools that save you hours in 2025
1) Colossyan (for L&D teams and enterprise training)
Best for: turning SOPs, PDFs/PPTs, and handbooks into interactive, on‑brand training videos at scale.
Why it saves time: We built the product for training teams that need speed and consistency. Doc2Video and Prompt2Video auto-build scenes from documents. PPT/PDF import turns slides into scenes and pulls in speaker notes as script. Our brand kits auto‑apply fonts, colors, and logos. Instant Translation localizes text and narration. Avatars and cloned voices remove filming needs. You can add MCQs and branching with the Interaction tab, then export SCORM 1.2/2004 to your LMS. Analytics show plays, watch time, and quiz scores. Workspace management handles roles, comments, and approvals.
Concrete workflow: take a 20‑slide safety training deck, import it, apply your Brand Kit, add a presenter avatar with a cloned voice, fix niche terms with Pronunciations, add branching “what would you do?” paths, export SCORM with a pass mark, and track completion and scores. Translate to Spanish or German in minutes without re‑editing.
Watch-outs: we’re built for training and internal comms. If you need complex VFX or pro grading, hand off to your NLE after you generate.
2) GLING
Best for: YouTubers who record long A‑roll and want a fast first cut.
Why it saves time: auto-removes bad takes, silences, and fillers; adds AI captions, auto framing, and noise removal; refine with a text-based trimmer; export MP4/SRT or hand off to Final Cut/Resolve/Premiere. The site cites a 5/5 rating and creators totaling ~6.1M subscribers saying they saved “hours” to “whole days.”
Watch-outs: built for a YouTube workflow vs. heavy VFX.
3) AutoPod
Best for: video podcasts and multicam talk shows in Premiere Pro.
Why it saves time: auto camera switching, social clip selects, silence removal. It saves hours to first cut, and all edits are visible on the timeline.
Pricing snapshot: $29/month, first month free.
Watch-outs: Premiere-only; works best with isolated audio per speaker.
4) Eddie AI
Best for: assistant editor tasks (logging, metadata, multicam stringouts, rough cuts).
Why it saves time: on a 2025 M4 Max, it imported ~3 hours of interviews in ~15 minutes and produced a first edit in ~20 minutes. Uses a four-part story framework.
Pricing snapshot: free tier (2 MP4 exports/month with light branding); Plus ~$25/month (4 projects).
Watch-outs: transcript-only logic can feel clunky; it’s an assistant, not a finisher.
5) Spingle AI
Best for: Premiere-native assistant that preps, culls, and makes footage searchable.
Why it saves time: cloud prep around real-time (≈1 hr per 1 hr footage); ~30 minutes of footage processed in ~20 minutes; auto cull/clean in ~30 seconds; local caching makes searches fast; “train on past projects” to match style.
Pricing snapshot: early access; pricing TBD.
Watch-outs: new tool, expect a learning curve.
6) CyberLink PowerDirector 2026/365
Best for: fastest consumer/prosumer NLE on Windows for timeline scrubbing and renders, especially with highly compressed HD.
Why it saves time: strong resource management; advanced stabilization; 360° end-to-end support; large user community; 365 updates roll in continuously. Independent reviewers still call it the “biggest bang for the buck.”
Pricing snapshot: perpetual and 365 subscription options.
Watch-outs: competitors are closing the gap; UI can feel dense if you’re brand-new.
7) Wondershare Filmora
Best for: beginners to semi‑pros who want an approachable NLE with useful AI assists.
Why it saves time: smart cutout, motion tracking, silence detection, background removal, audio denoise/stretch, audio‑to‑video.
Pricing snapshot: free with watermark; Basic at $59.99/year; one‑time license at $79.99 with limited AI credits.
Watch-outs: some AI features are credit‑limited on one‑time licenses.
8) InVideo AI
Best for: prompt‑to‑video assembly and text-based edits for social ads and marketing at scale.
Why it saves time: “Magic Box” commands to delete scenes, mute audio, change voiceover/accent, adjust effects, and switch aspect ratios; workflows for 50+ video styles; access to 16M+ stock assets. They claim 25M+ users and easy background noise removal.
Pricing snapshot: free plan limits like 2 video minutes/week and 4 exports with watermark; yearly billing discounts; 24/7 chat.
Watch-outs: generative features are limited on the free plan; watermark until paid.
9) Runway (Gen‑4, Aleph, Act Two)
Best for: transformative edits and fast b‑roll generation when reshoots aren’t an option.
Why it saves time: change angles, weather, props from existing shots; Act Two transfers a real actor’s performance (hands/fingers), which helps with continuity.
Pricing snapshot: Free 125 one-time credits; Standard at $15/month with 625 monthly credits and no watermark.
Watch-outs: generative models still struggle with object permanence and some human motion; expect iterations.
10) Descript (Underlord)
Best for: editing interviews, explainers, and course clips by editing the transcript.
Why it saves time: the agentic co-pilot plans edits, removes filler words, auto multicam, studio sound, and clip generation. In testing, it turned a 40‑minute interview into a ~5‑minute arc.
Pricing snapshot: free to try; paid plans start around $16–$24/user/month with 1080p and no watermark on paid.
Watch-outs: the chatbot UI is still in beta; aggressive filler removal can create jumpy cuts. Do a human pass.
Quick picker
Solo YouTuber cutting monologues: GLING or Descript
Video podcast/multicam: AutoPod (Premiere) plus Descript polishing
Corporate training at scale: Colossyan
Fast Windows editing and stabilization: PowerDirector 2026/365
Beginner-friendly traditional editor with AI assists: Filmora
Social ads from prompts with stock: InVideo AI
Generative b‑roll and scene transforms: Runway
Assistant editor for logging/stringouts: Eddie AI or Spingle AI
Workflow playbooks you can copy
YouTube A‑roll to publish in under 90 minutes
1) GLING: upload raw A‑roll; auto remove silences/fillers; add AI subtitles and noise removal.
2) Optional: export to Premiere/Resolve/Final Cut for color and music.
3) GLING: export MP4 + SRT; add chapters and a YouTube‑optimized title.
Real‑world note: creators with ~6.1M combined subscribers report saving hours to days.
Podcast to clips in one afternoon
1) AutoPod (Premiere): feed isolated audio per speaker; auto multicam and silence cuts.
2) Descript: remove filler words; use Studio Sound; generate highlight clips.
Benchmarks: users report hours to first cut; a 40‑minute interview cut to ~5 minutes.
Enterprise SOP to SCORM training video before end of day
1) Colossyan: import the PDF/PPT; scenes auto‑create from pages/slides.
2) Apply Brand Kit; add a branded avatar with a cloned voice.
3) Use Pronunciations; add MCQs/branching with Interaction.
4) Instant Translation for localized variants; export SCORM 1.2/2004 with a pass mark; share via LMS and review Analytics.
Recreate a reference video’s look with AI (common request)
1) Runway: transform existing footage (angles, weather, props) to match a reference; use Act Two to transfer performance.
2) InVideo AI: use Magic Box to adjust scenes, aspect ratios, and voiceovers via text commands.
3) Filmora or PowerDirector: final pass for motion tracking, stabilization, transitions, and export.
Buyer’s checklist
Import/export: does it support your camera codecs and the delivery format you need?
Speed: test timeline scrubbing and renders on your actual machine.
AI fit: transcript editing, multicam automation, silence removal, or generative b‑roll—what matters most?
Ecosystem: do you need handoff to Premiere/Resolve/Final Cut or an LMS (SCORM)?
Team workflows: roles, commenting, versioning, analytics. For training, I’d use Colossyan’s workspace management and analytics to keep a paper trail.
Trials: differences among leading editors are smaller than you think—use free trials and judge your own footage.
Top 7 Presentation Video Makers to Elevate Your Slides in 2025

Static slides lose attention fast. A presentation video maker adds narration, visuals, and structure, so people actually watch and remember. And if your goal is training, compliance, or change management, a video with checks and analytics beats a deck every time.
Here’s what matters when picking a tool in 2025:
AI automation to cut production time (doc-to-video, PPT import, text-to-speech, avatars).
Interactivity (quizzes, branching) if you care about learning outcomes.
Collaboration for teams (comments, approvals, version control, async recording).
Governance at scale (brand kits, templates, roles, compliance).
Distribution and measurement (analytics, LMS/SCORM, export formats).
Localization (translation, multilingual voices).
Stock and design depth (templates, media libraries, animation systems).
How we evaluated these tools
Creation speed: doc-to-video, PPT/PDF import, AI voice and avatars, script automation.
Interactivity: quizzes, branching, polls, and whether results are trackable.
Collaboration: real-time co-editing, comments, approvals, version history, async recording.
Scale and governance: brand kits, templates, user roles, ISO/GDPR/SOC controls.
Distribution and measurement: analytics, SCORM/LTI support, share links, embeds, export options.
Localization: multilingual voices, translations, workflow for language variants.
Stock and design: template quality, scene libraries, stock assets, AI image/video support.
The 7 best presentation video makers in 2025
1) Colossyan (best for L&D-ready, interactive training videos at scale)
I work at Colossyan, so I’ll be clear about where we fit. We’re built for teams that need to turn slide decks and documents into measurable training—fast—and prove completion in an LMS.
Snapshot
AI-driven doc-to-video plus PPT/PDF import. Each slide becomes a scene; speaker notes can become the script.
AI avatars, including Instant Avatars you can create from a short clip. Use multilingual voices or clone your own.
Interactivity with multiple-choice questions and branching. Create scenario-based learning without separate authoring tools.
SCORM 1.2/2004 export with pass marks and completion criteria.
Analytics for plays, time watched, and quiz scores, with CSV export.
Brand Kits, Templates, Content Library, Pronunciations, and Workspace Management for governance.
What stands out
Speed: convert a 30-slide deck into narrated scenes in minutes, then add an avatar and interactive checks.
Governance: roles, seat management, and brand locking via Brand Kits so content stays on-brand.
Compliance: SCORM export and granular analytics for audit-ready training.
Global scale: Instant Translation localizes script, on-screen text, and interactions while preserving timing.
Example
You have a 30-page PDF on data privacy. Import it, auto-generate scenes, place an AI avatar, add an MCQ per section, set an 80% pass mark, export SCORM, and track scores and watch time by learner.
If you liked Pitch’s seamless recording, you can import the same slides into Colossyan and add AI narration and avatars to avoid re-recording. You also get interactivity, SCORM, and analytics.
2) Powtoon (best for animated explainers with enterprise workflows)
Powtoon is strong when you need animated explainers and enterprise controls. The numbers show maturity and scale: 118M+ Powtoons created; trusted by 50M+ users and 96% of the Fortune 500; 4M+ stock media assets; ISO-27001 and GDPR compliance; accessibility features; and user-management controls. Enterprise workflows include shared folders, corporate templates, brand locking, reviews/approvals, and a centralized brand book. Their Propel program helps with onboarding, success, and training. The AI suite covers doc-to-video, scriptwriter, text-to-speech, text-to-video, avatars with lip sync, text-to-image, auto-captions, and translations. Creation modes span animated presentations, footage-based videos, infographics, whiteboard explainers, and screen/camera recording.
Best for
Teams that want a “Canva for video” setup with deep animation options and enterprise governance.
Example
Turn a policy update doc into a whiteboard explainer using AI-generated script, locked brand colors, and routed approvals.
Where Colossyan complements this
If you need SCORM packaging and quiz/branching for compliance training, we add interactive checks, pass/fail tracking, and LMS compatibility.
3) Renderforest (best for massive template and scene libraries across formats)
Renderforest gives you speed through pre-animated scene libraries and multi-format outputs. It offers 58 presentation templates with widescreen/portrait/square ratios, 4K filters, color changes, and huge toolkits like Trendy Explainer and Whiteboard Animation (1,500 scenes each), Ultimate Icon Animation (1,400), Explainer World (700), Modern Infographics (500), plus many 300–400-scene packs; supports 10 languages; and includes AI Video/Animation/Editor, Text-to-Video, AI Logo, AI Website, and AI TikTok.
Best for
Fast assembly of visually rich videos using large pre-animated libraries.
Example
Assemble a quarterly business review using the Modern Infographics Pack, then switch to 9:16 for mobile leaders.
Where Colossyan helps
Import the same deck into Colossyan to add an AI presenter, MCQs, and branching to role-specific modules, then export SCORM for your LMS.
4) Adobe Express (best for teams in the Adobe ecosystem needing quick design and present-from-app)
Adobe Express is a solid fit if your team already lives in Adobe workflows. You can import PowerPoint decks and keep editing, and even upload PSD/AI files with layer recognition. You get thousands of templates plus Adobe Stock photos, videos, and audio. AI features cover Generate Image, Generate Template, Generate Text Effect, and Insert/Remove Object. You can collaborate via share links (view/comment/edit), present from the app, or download. Premium adds one-click brand kits. Good to know: common slide sizes are 16:9 (1920×1080) and 4:3 (1024×768), and you can resize anytime.
Best for
Designers and marketers who want tight Adobe integration and strong asset libraries.
Example
Import a PPT, refine visuals using PSD layers, present directly from the app, then schedule derivative assets for social.
Where Colossyan helps
For training outcomes, move your refined visuals into Colossyan to add AI narration, quizzes, SCORM, and analytics.
5) Invideo (best for end-to-end AI generation with large stock access)
Invideo is geared toward AI-first generation with big stock libraries. It reports 25M+ users across 190 countries, 50+ languages, and access to 16M+ stock photos/videos; end-to-end AI goes from script to scenes to generative media, voiceovers, subtitles, and SFX; free plan includes 2 video minutes/week, 1 AI credit/week, 1 Express avatar, and 4 watermarked exports but no generative features. You can edit with simple text commands via “Magic Box.” Real-time multiplayer editing is noted as coming soon.
Best for
Fast AI-first creation and massive stock for business updates and pitches.
Example
Generate a client pitch from a short brief using Magic Box, then localize to Spanish with translation tools.
Where Colossyan helps
If the pitch becomes a training module, we add branching scenarios, role-play with Conversation Mode avatars, and SCORM tracking.
6) Pitch (best for async video recordings directly on slides)
Pitch is a go-to for recording yourself over slides without extra setup. The free Starter plan supports recording plus unlimited presentations and sharing links. Pro adds adding prerecorded videos, share tracking, guest invites, custom links, version history, and unbranded PDF export. You can pause/resume, take multiple takes, record across multiple slides, and keep recordings editable while you redesign slides. Takes are visible to collaborators with edit access; viewers only see the selected take. Sharing supports workspace invites, public links, and embedding; playback works on any device at variable speeds.
Best for
Sales, product, and leadership teams who want quick async recordings with minimal friction.
Example
Record a roadmap walk-through across slides, then share a custom link and track engagement in Pro.
Where Colossyan helps
For formal learning paths, import the same slides into Colossyan, add interactive checks, export as SCORM, and measure mastery beyond view counts.
7) Genially (best for no-code interactivity, quizzes, and real-time engagement)
Genially focuses on no-code interactivity. You can build animations, interactions, quizzes, polls, and team games with real-time responses, along with AI-assisted creation. Video presentations can auto-play with predefined animations; you can add audio or record voice in-editor. It supports formats like interactive images with hotspots, comparison sliders, maps, infographics, microsites, scenario-based learning, escape games, flashcards, and choice boards. Collaboration includes live co-editing, admin controls, and a Brand Kit. It connects to LMSs via SCORM and LTI to sync grades, and includes an Activity dashboard for analytics, with accessibility features and GDPR/SOC 2 compliance.
Best for
Educators and trainers who want rich interactive objects and LMS connectivity without coding.
Example
Build a branching safety scenario with polls and grade syncing via LTI.
Where Colossyan helps
If you need lifelike AI presenters, text-to-speech with Pronunciations, and instant language variants for global teams, we layer avatars, voice cloning, and Instant Translation on top of interactive flows.
Quick comparison checklist
AI automation: doc-to-video, text-to-video, scriptwriting, avatars, voice cloning.
PPT/PDF import and speaker notes support.
Interactivity: quizzes, branching, polls; SCORM/LTI support for tracking.
Collaboration: comments, approvals, version history, shared folders, async recording.
Brand governance: templates, brand kits, brand locking, centralized brand book.
Asset depth: stock media counts, scene libraries, AI image generation.
Localization: supported languages, translation, multilingual voices and captions.
Analytics: plays, time watched, quiz scores, share tracking, CSV export.
Compliance/security: look for ISO-27001, GDPR, SOC 2 where relevant.
Free plan limits: minutes, credits, watermarks, feature caps.
Export options: MP4, captions, SCORM, embed, present-from-app.
Which presentation video maker is right for you?
Animated explainers and enterprise approvals: Powtoon. If you need SCORM and avatar-led training, use Colossyan.
Vast scene libraries and quick visual assembly: Renderforest. Add Colossyan for AI narration, interactivity, and SCORM.
Adobe-native design workflows: Adobe Express. Extend with Colossyan to add avatars, quizzes, and analytics.
AI-first marketing updates: Invideo. Move to Colossyan for training interactivity and LMS reporting.
Async slide recordings: Pitch. Use Colossyan when you need measurable learning outcomes, not just views.
No-code interactivity for education: Genially. Combine with Colossyan for avatars, custom voices, and instant translation.
Enterprise L&D at scale: Colossyan offers doc-to-video, PPT import, AI avatars, Brand Kits, SCORM, analytics, branching, and multilingual variants.
Example workflow: turn slides into an interactive training video (Colossyan)
Step 1: Import your PPT/PDF. Each slide becomes a scene. Speaker notes auto-populate the script.
Step 2: Apply your Brand Kit for fonts, colors, and logos. Organize into folders for your team.
Step 3: Add an AI avatar or create an Instant Avatar from a short clip. Assign a cloned voice or pick a multilingual voice. Fix brand names in Pronunciations.
Step 4: Use Interaction to insert MCQs or Branching. Add Animation Markers for timed entrances. Use gestures if the avatar supports them.
Step 5: Translate with Instant Translation. Create language variants without re-timing scenes.
Step 6: Preview scene-by-scene. Export captions (SRT/VTT) and generate the final video.
Step 7: Export SCORM 1.2/2004 with a pass mark. Upload to your LMS. Use Analytics to review plays, time watched, and scores. Export CSV for reporting.
Closing guidance
Pick tools by outcome, not hype. If you need animated explainers and enterprise approvals, Powtoon works well. If you want speed from pre-built scenes, Renderforest is efficient. If you’re embedded in Adobe, Adobe Express is a safe choice. If you want AI-first creation for marketing updates, Invideo is quick. For async slide recordings, Pitch keeps it simple. For no-code interactivity in education, Genially is capable.
And if you need measurable, SCORM-compliant training videos at scale—built from slides and documents, enriched with AI avatars, quizzes, branching, analytics, and instant translation—that’s what we designed Colossyan to do.
How AI Can Turn Any Photo Into a Dynamic Video in Seconds

What is image-to-video and why it matters now
Image to video AI takes a still photo and adds motion. The model synthesizes frames that simulate camera moves like a slow zoom, a pan across text, or a tilt to reveal details. The result is a short clip that feels like it was shot on a camera, even if you started with a JPG.
What you control depends on the tool: camera motion and speed, focal point, aspect ratio, duration, and sometimes start/end frames. Typical outputs run 5–10 seconds. They work well as b-roll, transitions, hooks, or context shots.
Why this matters: L&D and comms teams often sit on piles of static assets—slides, diagrams, UI screenshots, product photos. Turning those into motion makes content feel current and easier to watch, without new filming. When paired with training video production workflows, these clips can raise attention and retention with almost no extra effort.
Tool landscape: what leading tools can do
Here’s a quick look at what’s available. Tools differ in speed, control, licensing, and output.
Colossyan (AI video from text, image, or script)
- Turns scripts, PDFs, or slides into videos with talking AI presenters in 70+ languages.
- Upload an image or choose from 100+ avatars; supports custom avatars and voice cloning.
- Great for training, marketing, and explainer content—fast generation with humanlike delivery.
- Integrates with PowerPoint and LMS tools; team collaboration and brand kits supported.
- Commercially safe content (enterprise-grade licensing).
Adobe Firefly image-to-video
- Generates from a single image with up to 1080p (4K coming soon).
- Trained on licensed and public domain data for commercially safer use: trained on licensed and public domain data.
- Precise camera moves (pan, tilt, zoom) and shot types. Real-time preview. Integrates with Premiere Pro and After Effects.
- Produces results fast: results in seconds. Uses generative credits.
VEED image-to-video AI
- Converts JPG/PNG/WebP into clips “within minutes.”
- A user reports ~60% reduction in editing time.
- Platform is rated 4.6/5 from 319 reviews. Free tier is watermarked; paid removes it.
- Good prompt structure: call out motion (“slow zoom on face,” “pan left to right”).
EaseMate AI image-to-video
- Free, no sign-up, watermark-free downloads.
- Supports JPG/JPEG/PNG up to 10 MB, with multiple aspect ratios and adjustable effects.
- Uses multiple back-end models (Veo, Runway, Kling, and more). Credits system; privacy claims that uploads are deleted regularly.
Vidnoz image-to-video
- 1 free generation/day; 30+ looks like Oil Painting and Cyberpunk (30+ styles).
- Built-in editor; auto-resize across 9:16, 16:9, and more.
- Large asset library, including 1830+ AI voices in 140+ languages.
Invideo AI (image-to-video)
- Generates in seconds to minutes and integrates OpenAI and Google models.
- Comes with 16M+ licensed clips and is used in 190 countries.
- Consent-first avatars, face-matching safeguards.
getimg.ai
- Access to 17 top models including Veo and Runway; 11M+ users.
- Rare controls: lock start and end frames on supported models; add mid-clip reference images.
- Modes for consistent characters and sketch-to-motion; paid plans grant commercial usage rights.
Pixlr image-to-video/text-to-video
- Most videos generate in under 60 seconds.
- Exports MP4 up to 4K; free users get HD exports with no watermarks.
- Brand Kit auto-applies logos, fonts, colors. Includes transitions, dynamic motion, music, and text.
Prompting playbook
Camera motion
“Slow 8-second push-in on the product label; center frame; subtle depth-of-field.”
“Pan left-to-right across the safety checklist; maintain sharp text; steady speed.”
“Tilt down from header to process diagram; 16:9; neutral lighting.”
Mood and style
“Clean corporate style, high clarity, realistic colors; no film grain.”
“Energetic social teaser, snappy 5s, add subtle parallax.”
Aspect ratio and duration
“Vertical 9:16 for mobile; 7 seconds; framing keeps logo in top third.”
General rules:
Use high-res images with a clear subject.
Call out legibility for text-heavy shots (“keep text crisp”).
Keep clips short (5–8s) to maintain pace.
Workflow: from photo to b-roll to interactive training in Colossyan
I build this in two passes: generate motion, then assemble the lesson.
1) Generate motion from your photo
Pick a tool based on needs:
Tight camera paths and Adobe handoff: Firefly.
Fast and free start: EaseMate or Pixlr.
Start/end frame control: getimg.ai.
Prompt clearly. Set aspect ratio by channel (16:9 for LMS, 9:16 for mobile). Export MP4 at 1080p or higher.
2) Build the learning experience in Colossyan
Create the core lesson:
I use Doc2Video to turn a policy PDF into scenes and narration placeholders automatically.
Or I import PPT; each slide becomes a scene with speaker notes as script.
Add the AI b-roll:
I upload the motion clip to the Content Library, then place it on the Canvas.
I use Animation Markers to sync the clip with narration beats.
Keep it on-brand:
I apply a Brand Kit so fonts, colors, and logos are consistent across scenes.
Add presenters and voice:
I add an AI avatar or an Instant Avatar.
I pick a voice or use a cloned brand voice, and fix tricky terms in Pronunciations.
Make it interactive:
I add a quick MCQ after the b-roll using Interaction, and set pass criteria.
Localize and distribute:
I run Instant Translation to create language variants.
I export SCORM 1.2/2004 for the LMS or share via link/embed.
Measure success:
I check Analytics for plays, watch time, and quiz scores, and export CSV for stakeholders.
Real-world examples
Manufacturing safety refresher
Generate a slow pan across a factory floor sign in Firefly (1080p today; 4K coming soon).
In Colossyan, build a Doc2Video lesson from the SOP PDF, open with the b-roll, add an avatar summary, then two MCQs. Export SCORM and monitor scores in Analytics.
Software onboarding micro-lesson
Use Pixlr to create a 9:16 push-in across a UI screenshot; it’s often under 60 seconds to generate.
In Colossyan, import your PPT deck, place the clip behind the avatar explanation, apply your Brand Kit, and translate to German via Instant Translation.
Compliance update announcement
With VEED, prompt “slow zoom on employee ID badge; realistic lighting; 6s.” A user reports ~60% editing time saved.
In Colossyan, use a cloned voice for your compliance officer and add Pronunciations for policy names. Track watch time via Analytics.
Product teaser inside training
In getimg.ai, lock the start (logo) and end frame (feature icon) for a 7s reveal (access to 17 top models).
In Colossyan, align the motion clip with Animation Markers and add a short branching choice to route learners to relevant paths.
How Colossyan elevates these clips into measurable learning
I see image-to-video clips as raw ingredients. Colossyan turns them into a meal:
Rapid course assembly: Doc2Video and PPT/PDF Import convert documents into structured scenes where your motion clips act as purposeful b-roll.
Presenter flexibility: AI Avatars and Instant Avatars deliver updates without reshoots; Voices and Pronunciations keep brand terms right.
Instructional design: Interaction (MCQs, Branching) makes segments actionable and testable.
Governance and scale: Brand Kits, Templates, Workspace Management, and Commenting keep teams aligned and approvals tight.
Compliance and analytics: SCORM exports for LMS tracking; Analytics for watch time and quiz performance by cohort.
Global reach: Instant Translation preserves timing and layout while localizing script, on-screen text, and interactions.
If your goal is training video production at scale, this pairing is hard to beat: use image to video AI for quick, on-brand motion, then use Colossyan to turn it into interactive learning with measurable outcomes.
Bottom line
Image to video AI is now fast, good enough for b-roll, and simple to run. Pick the right tool for your needs, write clear prompts about motion and framing, and export at 1080p or higher. Then, bring those clips into Colossyan. That’s where I turn short motion snippets into structured, branded, interactive training—with avatars, quizzes, translations, SCORM, and analytics—so the work doesn’t stop at a pretty clip. It becomes measurable learning.
Best AI Avatar Generators to Create Realistic Digital Characters

AI avatar generators have evolved from novelty tools to essential solutions for training, onboarding, customer education, and marketing. The biggest changes in 2025 are speed, language reach, and integration with real workflows. You’ll now see broader multilingual coverage, faster lip-sync, and even real-time agents backed by knowledge retrieval. Entry pricing often sits below $30/month, with free trials across the board (source).
This guide compares leading options and explains what actually matters when choosing a platform—especially if you work in L&D and need SCORM, collaboration, and analytics. It also shows where Colossyan fits, since that’s what I work on.
Quick Picks by Scenario
- Best for L&D and LMS workflows: Colossyan — 150+ avatars, 80+ languages, SCORM export, from $27/month.
- Best for real-time agents and fast responses: D-ID — >90% response accuracy in under 2 seconds, plans from $5.90/month.
- Best library breadth and customization: HeyGen — 1,000+ stock avatars, used by 100,000+ teams, 4.8/5 from 2,000+ reviews, and 100+ voices across 175+ languages/accents.
- Best enterprise scale and security posture: Synthesia — 240+ avatars, 140+ languages, used by 50,000+ companies and 90% of the Fortune 100.
- Budget and education-friendly options: Voki from $9.99/month; Vidyard free plan, Pro $19/month.
- Full-body or 3D/local avatars: Vidnoz offers full-body avatars; RemoteFace runs locally and integrates with Zoom/Meet/Teams.
- Image-only character creation: starryai’s free tier generates up to 25 images/day and holds a 4.7/5 rating across 40,000+ reviews.
What to Look For (Buyer’s Checklist)
- Realism: lip-sync accuracy, facial dynamics, gestures, side-view and conversation mode.
- Language and voice: native TTS quality, voice cloning rules, and translation workflows.
- Speed and scale: doc-to-video, PPT imports, templates, and bulk creation.
- Licensing and privacy: actor consent, commercial use rights, and storage policies.
- Integrations and LMS: SCORM 1.2/2004, xAPI if needed, embed/export options.
- Collaboration and analytics: comments, roles, learner tracking.
- Price and tiers: free trials, per-minute limits, enterprise controls.
Top AI Avatar Generators (Profiles and Examples)
1. Colossyan (Best for L&D Scale and LMS Workflows)
Supports 150+ avatars, 80+ languages, and SCORM export, with plans from $27/month. You can import PPT/PDF, convert docs to scenes with Doc2Video, and apply brand kits. Add interactive quizzes, branching, and analytics, then export SCORM 1.2/2004 with pass marks and completion criteria for your LMS.
Why it stands out:
- SCORM export and pass/fail tracking for HR and compliance.
- Doc2Video converts SOPs and policies into on-brand videos in minutes.
- Interactive questions and branching for scenario-based learning.
- Analytics for plays, time watched, quiz scores, and CSV export.
Example: Turn a 20-page policy into a six-scene video with two avatars in conversation. Add MCQs, set a pass mark, export SCORM, and monitor completions.
Small tasks made easy:
- Pronunciations for brand or technical words (like “Kubernetes”).
- Instant Translation for fast multilingual variants.
- Instant Avatars to feature your HR lead once and update later.
2. D-ID (Best for Real-Time Agents and Rapid Responses)
>90% response accuracy delivered in under 2 seconds, real-time video agents, 14-day free trial, and pricing from $5.90/month. Great for live Q&A when tied to a knowledge base.
L&D tip: Pair D-ID for live chat next to Colossyan courses for edge-case questions.
3. HeyGen (Largest Stock Library and Quick Customization)
1,000+ stock AI avatars, used by 100,000+ teams, 4.8/5 from 2,000+ reviews, and 100+ voices across 175+ languages/accents. Free plan available; paid tiers include HD/4K and commercial rights.
Actors consent to data use and are compensated per video. Avatar IV turns a photo into a talking avatar with natural gestures.
4. Synthesia (Enterprise Breadth and Outcomes)
240+ avatars and 140+ languages, with Fortune 100 clients and quick custom avatar creation (24 hours).
A UCL study found AI-led learning matched human instruction for engagement and knowledge gains.
Ideal for enterprise security and scalability.
5. Elai
Focuses on multilingual cloning and translation — 80+ avatars, voice cloning in 28 languages, 1-click translation in 75 languages, from $23/month.
6. Deepbrain AI
Budget-friendly with range — claims up to 80% time/cost reduction, 100+ avatars, TTS in 80+ languages with 100+ voices, from $29/month.
7. Vidnoz
When you need full-body presenters — freemium 3 minutes/day, paid from $26.99/month.
8. RemoteFace
For strict privacy — local 3D avatar generation (no image upload) and integrations with Zoom/Meet/Teams/Skype.
9. Vidyard
For teams already hosting video — 25+ languages, free plan, Pro $19/month.
10. Rephrase.ai
Known for lip-sync — lip-sync accuracy, free trial + enterprise options.
11. Movio
Template-first approach — from $29/month.
12. Voki
Education-friendly — premium from $9.99/month.
How Colossyan Features Map to Buyer Criteria
Realism: Use side-view avatars and gestures, plus Pauses and Animation Markers for natural pacing.
Multilingual & localization: 80+ languages, Instant Translation keeps layout consistent.
Speed & scale: Doc2Video converts SOPs or decks into draft scenes instantly.
LMS/SCORM: Export SCORM 1.2/2004 with pass marks and criteria for tracking.
Analytics: Track watch time and quiz scores, export CSV for audits.
Collaboration: Workspace Management for roles, Brand Kits for consistency.
Side-by-Side Snapshot
- Colossyan: 150+ avatars; 80+ languages; SCORM export; from $27/month.
- D-ID: >90% response accuracy; sub-2-second replies; 14-day trial; from $5.90/month.
- Synthesia: 240+ avatars; 140+ languages; enterprise security.
- HeyGen: 1,000+ avatars; 100+ voices/175+ languages-accents; Avatar IV; HD/4K; actor consent; from $24/month.
- Elai: 80+ avatars; voice cloning; 1-click translation; from $23/month.
- Deepbrain AI: 100+ avatars; 80+ languages; from $29/month.
- Vidnoz: full-body avatars; freemium 3 minutes/day.
- RemoteFace: local 3D avatars; video integrations.
- Vidyard: 25+ languages; free plan; Pro $19/month.
- Voki: education-focused; from $9.99/month.
- starryai: free 25 images/day; 4.7/5 rating.
Real-World L&D Scenarios You Can Build in Colossyan
- Compliance training with assessment: Import a PDF via Doc2Video, add an avatar, insert MCQs, export SCORM, track completions.
- Sales role-play with branching: Two avatars in conversation mode, add Branching, analyze paths vs. quiz results.
- Software onboarding: Screen record product, overlay avatar, add Pronunciations, update later easily.
- Multilingual rollout: Use Instant Translation for 3–5 languages, swap voices, refine for text expansion.
Conclusion
There isn’t a single “best” AI avatar generator for everyone.
- For real-time agents, D-ID stands out.
- For library breadth, check HeyGen.
- For enterprise compliance and scale, look at Synthesia.
- For L&D, SCORM, and repeatable production, Colossyan leads.
Use the checklist above to align features—SCORM export, document-to-video, instant translation, and analytics—with your training goals.
Best AI for Video Creation: Top Tools to Save Time and Boost Quality

AI video has split into three clear lanes: cinematic generators, avatar-led explainers, and repurposing/editing tools. You don’t need everything. You need the right mix for your use case, budget, and deadlines. Here’s what actually matters, which tools to pick, and where I think teams should draw the line between “cool demo” and reliable production.
TLDR
Cinematic realism and camera moves: Runway Gen-4, Kling 2.0, Hailuo Minimax. Veo leads on resolution and duration where it’s available.
Scalable training with governance: Colossyan for doc-to-video, avatars, brand enforcement, SCORM, analytics, and quizzes.
Avatar-led explainers: Synthesia and HeyGen; use Colossyan if you need interactivity, translation, and LMS tracking.
Repurposing or text-first edits: Descript, Pictory, Peech, invideo AI.
Fast short-form ideation: Luma Dream Machine, Pika, VideoGPT, Grok Imagine, PixVerse.
How to pick an AI video tool
Start with outcomes, not features.
Output type: Do you need cinematic shots (text-to-video or image-to-video), talking-presenter explainers, or cutdowns from existing footage? This category split is consistent across tools.
Must-haves: Image-to-video iteration, camera controls, lip-sync, native audio, clip duration, resolution, watermark removal tier, team governance, SCORM.
Time and price: Credits or seconds per month, render times, queue volatility, and free trials. Note that all the major tools offer free trials except Sora.
Legal/compliance: Licensed training data and enterprise readiness. Adobe Firefly stands out here.
Scale and localization: Brand kits, translation, custom pronunciations, analytics, and LMS export.
What we learned from recent tests
Speed hack that actually works: Iterating via image-to-video is cheaper and faster. Perfect a still frame, then animate it. Many pros chain tools (Midjourney stills → Runway for I2V → Kling for lip‑sync). This pattern is echoed in real tests and tool reviews across 10 generators evaluated on the same prompt.
Expect real queues: Kling’s free plan can take around 3 hours when busy. Runway Gen‑4 often lands at 10–20 minutes. Pika can be 10–15 minutes. Firefly is usually a couple of minutes. Hailuo is a few minutes. Day-to-day variance is normal.
Availability caveat: Sora video generation is on hold for many new accounts; Plus is $20/month for ~5s shots, Pro is $200/month for ~20s shots.
Longer clips and 4K exist, with strings: Veo 2 can reach 4K and up to 120 seconds, and Veo 3 adds native audio and near lip‑sync via Google AI Pro/Ultra pricing. Access varies by region and plan. Also, most top models still cap clips at roughly 10–12 seconds.
Plan gotchas: Watermark removal is often paywalled; 1080p/4K frequently sits behind higher tiers (Sora Plus is 720p, Pro is 1080p) as noted in pricing breakdowns.
Practical prompting: Be specific. Stylized/cartoon looks can mask realism gaps. Expect iteration and a learning curve (users report this across tools) in community testing.
The top AI video generators by use case
Generative text-to-video and image-to-video (cinematic visuals)
Runway Gen‑4: Best for photoreal first frames, lighting, and camera motion. 1080p, up to ~16s, T2V + I2V, camera controls, lip‑sync; typical generations are ~10–20 minutes. Aleph can change angles, weather, props on existing footage; Act Two improves performance transfer.
Kling AI 2.0: Best for filmmaker-style control and extending shots. 1080p, ~10s extendable to minutes, T2V/I2V/update outputs, camera controls, lip‑sync; no native sound. Free queues can be slow (~3 hours observed).
Hailuo (Minimax): Balanced storytelling, fast generations. 1080p, T2V/I2V; strong coverage with minor quirks; renders in minutes.
Google Veo: Highest resolution and longest duration in this group. Up to 4K and 120s on Veo 2. Veo 3 adds native audio and near lip‑sync in a Flow editor. Access and watermarking vary by plan and region.
OpenAI Sora: Good for landscapes and stylized scenes; weaker on object permanence/human motion. T2V/I2V; Plus is 720p up to ~5–10s, Pro is 1080p up to ~20s, availability limited.
Adobe Firefly (Video): Legal/commercial comfort due to licensed training data; 1080p, ~5s shots, T2V/I2V, camera controls; very fast generations in a couple minutes.
Luma Dream Machine: Brainstorming and stylized/3D looks, with optional sound generation. 1080p, ~10s max; credit-based; motion can be unstable per tests.
Pika 2.2: Playful remixing and quick variations. 1080p, ~16s, T2V/I2V, lip‑sync; ~10–15 minutes during demand spikes.
Also notable for speed/cost: PixVerse, Seedance, Grok Imagine, WAN with fast or cost‑efficient short clips.
Avatar-led explainers and enterprise training
Colossyan: Best for L&D teams converting documents and slides into on-brand, interactive training with analytics and SCORM. I’ll explain where we fit below.
Synthesia: Strong digital avatars and multi‑language TTS; widely adopted for onboarding; 230+ avatars and 140+ languages.
HeyGen: Interactive avatars with knowledge bases and translation into 175+ languages/dialects. Handy for support and sales.
Vyond: Animated scenes from prompts and motion capture; good for scenario vignettes.
Repurposing and AI‑assisted editing
Descript: Edit by transcript, studio sound, multicam, highlight clipping.
Pictory and Peech: Turn text/URLs/PPT/long videos into branded clips with captions.
invideo AI: Prompt-to-video assembling stock, TTS, overlays; adds AI avatars and multi‑language in recent releases.
Real workflows that work today
Concept-to-ad storyboard in a day
1) Lock look/dev with stills in Midjourney.
2) Animate best frames in Runway (I2V) for 10–16s shots with camera moves.
3) Add lip‑sync to a hero close‑up in Kling.
4) Assemble in your editor. For training spin‑offs, bring the b‑roll into Colossyan, add an avatar, brand styling, and an interactive quiz; export SCORM.
Fast multilingual policy rollout
1) Upload the policy PDF to Colossyan and use Doc‑to‑Video.
2) Add pronunciations for acronyms; apply your Brand Kit.
3) Add branching for role-specific paths (warehouse vs. retail).
4) Translate instantly, pick multilingual voices, export SCORM 2004, track completion.
Social refresh of webinars
1) Use Descript to cut the webinar by transcript and create highlight clips.
2) Generate a 5–10s Luma opener as a hook.
3) Build an internal micro‑lesson version in Colossyan with an avatar, captions, and an MCQ; publish to your LMS.
What matters most for quality and speed (and how to test)
Accuracy and consistency: Generate the same shot twice in Runway or Pika. Compare object permanence and lighting. Expect variability. It’s the norm even across runs on the same tool.
Lip‑sync and audio: Few models do it well. Kling and Pika offer lip‑sync; Veo 3 reports native audio and near lip‑sync. Many workflows still need separate TTS.
Camera controls and shot length: Runway and Kling give useful camera moves; most tools cap at ~10–16s; Veo 2 stretches to 120s.
Legal/compliance: Use licensed training data if content is public-facing. For enterprise training, ensure SCORM/XAPI compliance and auditability.
Plan gating: Track watermarks, credits, and resolution limits. Sora’s 720p on Plus vs 1080p on Pro is a good example.
Where Colossyan fits for training video at scale
I work at Colossyan, so I’ll be clear about what we solve. We focus on L&D and internal comms where speed, governance, and measurement matter more than cinematic VFX.
Replace studio filming for training: We convert documents into videos (Doc‑to‑Video), and we support PPT/PDF import that turns decks into scenes. Our AI avatars and cloned voices let your SMEs present without filming. Conversation mode is useful for role‑plays and objection handling.
Keep everything on‑brand and reviewable: Brand Kits and templates enforce fonts, colors, and logos. Workspace roles and in‑context comments speed up approvals.
Make training measurable and compatible: Add interactive MCQs and branching for real decision paths. Our analytics show watch time and quiz scores. We export SCORM 1.2/2004 with pass marks and completion rules, so your LMS can track it.
Go global fast: Instant Translation duplicates content across languages while keeping layout and timing. Pronunciations make sure product terms and acronyms are said right.
A typical workflow: take a 20‑page SOP PDF, generate a 5‑minute interactive video, add an avatar with a cloned voice, add three knowledge checks, use your Brand Kit, export SCORM, and review analytics on pass rates. If you need b‑roll, bring in a short Runway or Kling shot for background. It keeps your training consistent and measurable without re‑shoots.
Prompt templates you can copy
Cinematic T2V: “Cinematic dolly‑in on [subject] at golden hour, volumetric light, shallow depth of field, 35mm lens, gentle handheld sway, natural skin tones, soft specular highlights.”
I2V iteration: “Animate this still with a slow push‑in, subtle parallax on background, consistent hair and clothing, maintain [brand color] accent lighting, 16 seconds.”
Avatar‑led training in Colossyan: “Summarize this 12‑page policy into a 10‑slide video; add avatar presenter with [cloned voice]; include 3 MCQs; use [Brand Kit]; add pronunciation rules for [brand terms]; translate to [languages]; export SCORM 2004 with 80% pass mark.”
Final guidance
Match tool to task: Cinematic generators for short hero shots and concepting. Avatar/training platforms for governed, measurable learning. Repurposers for speed.
Plan for iteration: Reserve time and credits for multiple runs. Use image‑to‑video to dial in looks before committing.
Build a stack: Pair one cinematic generator (Runway/Kling/Veo) with Colossyan for presenter‑led lessons, interactivity, analytics, and LMS‑ready delivery. And keep an eye on access limits and watermarks; they change often as plans evolve.
Looking Back On The Colossyan 2025 Offsite

It’s wild to think that our offsite in Budapest and Prónay Castle was just a few months ago. It already feels like one of those core memories that quietly shaped the rest of the year.
That week in August was the first time many of us were all in one place — sharing stories, swapping ideas, and just being human together. It reminded us that behind every new feature, campaign, or customer call, there’s a group of people trying to do great work and enjoy the process while we’re at it.
Since then, Q3 has been about carrying that same energy into the everyday.
We’ve seen the Marketing team refine how we talk about what we do — more storytelling, less noise.
Sales found new ways to collaborate with other teams and keep the momentum strong.
Ops worked their quiet magic, making everything behind the scenes feel seamless.
Engineering & Research brought big ideas to life and built tighter connections with product and design.
And Customer Success reminded us what empathy in action really looks like.
Even for those who joined after the offsite, that sense of connection has stuck around. It’s there in every brainstorm, every cross-team chat, every “hey, can I get your eyes on this?” message.
Now, as we’re a month into Q4, it feels like we’ve hit our stride. The goals are ambitious — as always — but there’s a shared rhythm across teams that makes the work feel lighter, more focused, and a lot more fun.
We’re ending 2025 not just stronger, but closer. And that’s what makes the future exciting.
#Colossyan 🖤
The Best Picture Video Maker Apps to Turn Photos Into Stories

Turn photos into scroll-stopping stories
Turning photos into short videos is the easiest way to stand out in feeds, make campaigns faster, and keep training materials engaging. A good picture video maker helps you turn stills into a simple story with motion, captions, and sound — and it should fit your workflow, whether you’re on a phone, in a browser, or inside an LMS.
This guide gives you a clear view of the best tools, what they do well, tradeoffs between free and paid versions, and when a training-focused platform like Colossyan is the smarter pick.
How to Choose a Picture Video Maker (Quick Checklist)
- Platform and access: iOS/Android vs. browser; real-time collaboration; cloud saves.
- Output quality: 1080p vs. 4K/60fps; quick resizing to 9:16, 1:1, 16:9.
- Branding and templates: customizable templates, smart font pairing, brand colors.
- Audio and narration: AI text-to-speech, voiceover uploads, music libraries, auto-captions.
- Visual tools: trimming, filters, animation, background removal, smart tracking.
- Stock and assets: rights-cleared stock that’s safe to use.
- Interactivity and analytics: quizzes, branching, SCORM, viewer-level analytics.
- Watermarks and pricing: truly free vs. free-with-watermarks, ad-based watermark removal, storage/time caps.
- Data safety: tracking identifiers, deletion options, enterprise-grade privacy.
The Best Picture Video Maker Apps and Online Tools
1. Adobe Express (Web) — Best for Social-Ready Stories with Smart Design Help
Adobe Express is a free, browser-based editor with drag-and-drop simplicity. You get watermark-free downloads on the free tier, access to rights-cleared Adobe Stock assets, and royalty-free soundtracks.
You can upload voiceover or music, trim scenes, reorder clips, and animate elements like text or stickers. Templates are fully customizable (including vertical 9:16). Real-time collaboration and link sharing are built in, along with a Content Scheduler for publishing to TikTok, Instagram, or Facebook.
Example: “I resized a square carousel to 9:16 in a click, animated stickers on each photo, and scheduled the final cut to TikTok from inside Adobe Express.”
2. InShot (Android) — Best for 4K/60fps On-the-Go Editing
InShot for Android has 500M+ installs and a 4.9/5 rating from 23.4M reviews. It supports 4K/60fps exports, auto-captions, background removal, AI body effects, and a Teleprompter.
Limitations: transitions only apply to clips ≥1.1 seconds, the music library is small, and watermark removal requires watching an ad.
Data safety: collects media and device IDs but supports deletion requests.
Example: “I removed the watermark by watching a quick ad and exported a 4K/60fps slideshow with auto-captions.”
3. InShot (iOS/iPad/macOS/visionOS) — Best for Apple Users with AI Tools and Stabilization
On Apple platforms, InShot holds 1.2M ratings at 4.7/5. You get 4K/60fps export, auto captions, background removal, smart tracking, and new stabilizer tools.
Known issues:
- Voiceover tracks can shift after trimming — lock cuts first.
- HDR exports can overexpose — toggle off HDR.
- Long exports can stall — trim initial corrupted frames.
Apple’s privacy sheet notes some identifier tracking (not linked to identity).
Example: “If HDR made my highlights blow out, I toggled HDR off before exporting to keep skin tones realistic.”
4. InVideo (Web) — Best for Massive Template Variety and Team Collaboration
InVideo serves 25M+ customers with 7,000+ templates and 16M+ stock media. The web editor is drag-and-drop with voiceover, TTS, transitions, and effects.
You can export in 1080p, change aspect ratios, and collaborate in real time. Some assets are watermarked on the free plan.
Example: “I started with a still image, animated a bold benefit line and logo, and exported a 1080p vertical version.”
5. Clideo (Web) — Best for Quick Online Edits with Built-In Screen/Webcam Recorder
Clideo runs in any browser and includes a screen/webcam/audio recorder. It supports MP4, MOV, AVI, and more, with trimming, filters, overlays, captions, stickers, and split-screen features.
Free plans add watermarks; premium ($9/month or $72/year) removes them and unlocks 4K export. Rated 4.8 from 5,300 reviews.
Example: “I recorded a quick webcam intro, layered photos in split-screen, and exported a clean 4K cut from the browser.”
6. Video Maker With Music & Photo (Android) — Best for Free, No-Watermark Claims
This app has 10M+ installs and a 4.6 rating from ~76.9K reviews. It claims to be 100% free with no watermark, supports 4K export, and offers 200+ songs, 1,500+ stickers, and 100+ templates.
Data notes: no data shared with third parties, but data cannot be deleted.
Example: “A 1:08 clip upscaled to 2K in 32 seconds — but I kept my montage shorter to avoid auto-cutting.”
7. Video Candy (Web) — Best for Budget-Friendly, Tool-Rich Editing
Video Candy offers 70 tools, watermark-free exports on paid tiers, and files up to 8 GB.
The time limit for processing is 20 minutes, and files are kept for 120 minutes. Pricing is around £3/month annually or £6 monthly.
Example: “I batch-processed a short photo reel with color correction and text overlays under the 20-minute time cap.”
Quick Picks by Scenario
Truly free or minimal friction:
- Adobe Express — free watermark-free downloads.
- Video Maker With Music & Photo — claims no watermark.
- InShot (Android) — remove watermark by watching an ad.
Best for 4K/60fps:
- InShot (iOS/Android), Clideo, Video Maker With Music & Photo.
Best for templates + stock:
- InVideo, Adobe Express.
Best for collaboration:
- Adobe Express, InVideo.
Best for recording + quick web edits:
- Clideo.
Best for training, compliance, and analytics:
- Colossyan (interactive quizzes, branching, SCORM, analytics, brand kits).
Step-by-Step: Turn Photos into a Story
Adobe Express (Social Vertical Story)
- Start in 9:16 format.
- Add photos and trim scenes.
- Animate text and stickers.
- Add a voiceover or soundtrack.
- Use the Content Scheduler to publish directly to TikTok, Instagram, or Facebook.
InShot (Mobile 4K/60fps)
- Import photos, set durations, and apply transitions.
- Use background removal and smart tracking.
- Generate AI auto-captions and balance music.
- Disable HDR if export looks overexposed.
InVideo (Template-First)
- Choose a picture-to-video template.
- Replace placeholders with photos.
- Add narration or TTS.
- Export 1080p vertical, square, or landscape.
When You Should Choose Colossyan
If you’re building training, compliance, or onboarding content, a general slideshow maker won’t cut it. Colossyan lets L&D teams create interactive learning paths, branching scenarios, and quizzes with pass marks.
You can export SCORM 1.2/2004 to any LMS, track plays, completion, and scores, and use Brand Kits to stay on-brand. Doc2Video, PPT/PDF import, and a shared Content Library save production time.
Examples
Safety training from site photos:
- Upload a PDF via Doc2Video to auto-generate scenes.
- Insert site photos and add an AI avatar narrator.
- Build branching scenarios and quizzes.
- Export SCORM to your LMS and track completion.
Software onboarding from screenshots:
- Import a PPT; speaker notes become the script.
- Use Conversation Mode for two avatars.
- Add Pronunciations for product terms and clone your SME’s voice.
- Translate instantly to other languages.
Multi-brand training at scale:
- Create Brand Kits with fonts/colors/logos per region.
- Store shared visuals in the Content Library.
- Manage editors and reviewers with Workspace Management.
Colossyan Features for Photo Storytelling
- From static to story: Doc2Video/Prompt2Video turns documents or prompts into storyboards with your photos.
- Voice and accuracy: Multilingual voices, cloning, and Pronunciations ensure brand consistency.
- Interactivity and measurement: Add quizzes and branching, export SCORM, and track engagement.
- Speed and governance: Templates and Brand Kits keep everything consistent and fast.
Best Practices for Photo-to-Video Storytelling
- Structure: Use a clear arc — setup → tension → resolution. Keep scenes short for social.
- Visual polish: Match color tones and keep animations subtle.
- Audio clarity: Balance music under narration and always add captions.
- Format: Resize for each platform (9:16 Stories, 1:1 Feeds, 16:9 YouTube/LMS).
- Data and privacy: Prefer tools with SCORM, analytics, and governance for enterprise needs.
Where This Guide Fits in Your Content Strategy
Use this comparison to pick a picture video maker that fits your platform, budget, and goals.
For fast social content, choose Adobe Express, InShot, InVideo, or Clideo.
For training, compliance, and analytics, Colossyan is the clear choice — it turns photos and documents into measurable, interactive learning content.
The Benefits of Online Employee Training for Modern Businesses

The biggest benefit of online employee training is faster time-to-proficiency. When you centralize content, scale it across teams, and track what works, people ramp faster, make fewer mistakes, and stay longer.
Right now, the gap is real. 49% of employees say AI is advancing faster than their company’s training, while 68% feel more prepared for the future of work because of training. Strong onboarding links to +82% new-hire retention and 70%+ productivity gains.
And culture matters: 76% of millennials see professional development as crucial to a company’s culture.
Here’s the point: modern, video-led, standards-compliant online training can compress onboarding time, reduce errors and risk, and scale globally with analytics to prove ROI. That’s not an aspiration—it’s a practical path if you pick the right approach and stick to the metrics.
What “online employee training” means today
Online employee training is structured learning delivered through your LMS or learning platform and embedded into daily work. It usually includes role-based paths, short microlearning modules, assessments, and compliance tracking.
Good programs use standards like SCORM, xAPI/Tin Can, LTI, or cmi5 so your content plays well in most systems. Practitioners talk about these every day in eLearning communities because portability and data matter.
At Colossyan, we build training videos that fit that workflow. I export videos as SCORM 1.2 or 2004 with pass marks and completion rules so the LMS records results. I also add interactions like quizzes and branching to check understanding and adapt to choices.
The business benefits
1. Faster, more consistent onboarding
Onboarding sets the tone and speed. Trainual claims a 50% onboarding time cut (for example, from 30 days to 15), which naturally reduces payroll costs and errors. The same source ties strong onboarding to +82% new-hire retention and 70%+ productivity gains.
Consistency is the hidden lever here. A single, clear path removes variability in coaching and avoids tribal shortcuts that cause rework.
Example: turn a 60-page SOP into a 10-lesson path. Each lesson is a 5–7 minute video with one or two questions—easier to digest and maintain.
How I do this with Colossyan:
- Convert docs and slides using Doc2Video or PPT/PDF Import to auto-build scenes and a first script.
- Keep every piece on-brand with Brand Kits and Templates.
- Add quick checks and branching to test decisions and tailor content to roles.
- Export SCORM with pass marks so the LMS tracks completions and scores.
- Review Analytics (plays, time watched, quiz scores) to find weak segments and improve.
2. Better retention and productivity
Training only works if people retain what they learn. 68% say training makes them more prepared for the future of work, and one TalentLMS case study shows turnover dropping from 40% to 25%.
Microlearning helps—short, focused videos that fit common 10–15 minute course lengths are easier to repeat and remember.
How I do this with Colossyan:
- Use Conversation Mode avatars for role-plays (feedback talks, customer objection handling).
- Set Pronunciations for product names and jargon.
- Reuse media across modules via the Content Library.
- Avoid re-filming with avatars and cloned voices for faster updates.
3. Cost efficiency and speed at scale
Teams waste time rebuilding content and switching tools. TalentLMS users report saving “dozens of FTE hours” via automation.
The ProProfs Training blog recommends piloting with baseline metrics first, since free or low-cost tiers often limit analytics and seats.
Pilot example: run a 100-person onboarding cohort and compare time-to-first-ticket-resolution (support) or time-to-production (engineering) before and after rollout.
How I do this with Colossyan:
- Use Doc2Video and Prompt2Video to turn approved docs into videos fast.
- Cut design cycles with Templates, Brand Kits, and AI script editing.
- Manage roles and access via Workspace Management to prevent bottlenecks.
4. Compliance readiness and risk reduction
Compliance is about scale, accuracy, and proof. HSI reports 18M+ courses completed per year, 750K+ daily active users, and 800+ safety/compliance titles.
That’s the level many organizations need across regions and job roles. Many platforms now include e-signatures and certificates for audit evidence.
How I do this with Colossyan:
- Build interactive, scenario-based modules with branching and MCQs.
- Export as SCORM 1.2/2004 with pass marks and completion rules for audit logs.
- Use Analytics to identify weak spots—like low scores on safety topics—and refine them.
5. Standardization and knowledge capture
Without a system, knowledge stays in people’s heads and Slack threads. Platforms like Trainual highlight the value of centralization by combining SOPs, wikis, LMS features, and policy management in one place.
The eLearning community continues to stress SCORM, xAPI, and cmi5 for portability. The goal: make the right way the easy way.
How I do this with Colossyan:
- Record screens for software demos and sync highlights with animation markers.
- Apply Pronunciations for consistency.
- Use folders and libraries to manage assets and reduce duplicate work.
6. Global reach and localization
Your workforce is global by default. Trainual cites 1.25M employees trained across 150+ countries, and HSI serves 71 countries.
Training must travel—linguistically and culturally.
How I do this with Colossyan:
- Use Instant Translation for multilingual versions.
- Choose multilingual avatars and voices; export separate drafts to fine-tune.
- Apply locale-specific Pronunciations for natural delivery.
Implementation framework
Step 1: Define objectives and metrics
Follow ProProfs’ guidance: list non-negotiables (user caps, SCORM/xAPI, SSO, analytics), map tools to use cases, and set success metrics before piloting. Track time-to-proficiency, retention, compliance pass rates, and NPS.
Step 2: Audit and prioritize high-impact content
Start with onboarding essentials, top compliance risks, and frequent errors. Blend short off-the-shelf courses with custom modules for your workflows.
Step 3: Choose standards and integrations
Select SCORM vs. xAPI based on your LMS. I export SCORM 1.2/2004 from Colossyan with pass/fail criteria to ensure consistent reporting.
Step 4: Pilot with a small cohort
Convert a handbook into microvideos with Doc2Video, track completions, quiz scores, and watch time to refine before scaling.
Step 5: Scale and govern
Use consistent naming, foldering, and tagging. Manage roles and assets through Workspace Management and Brand Kits for visual consistency.
Use cases and blueprints
Onboarding: Trainual’s 50% onboarding time reduction shows the potential—turn a 30-day plan into a two-week video path.
Colossyan build: Import PPT, add avatars, insert MCQs, and export SCORM with a pass mark.
Compliance and EHS: HSI’s 18M+ courses per year highlight scale needs. Build OSHA or harassment refreshers with branching.
Software/process training: Record workflows, sync highlights, and add recap quizzes.
Customer-facing skills: 42 North Dental’s case shows coaching reduces turnover. Use Conversation Mode and branching.
Measuring ROI
A simple model:
- Onboarding days saved per hire (e.g., 15 days if achieving 50% reduction)
- Payroll cost per day per hire
- Retention uplift (+82% tie)
- Productivity proxy metrics (tickets per week, deals per month)
With Colossyan, I combine video Analytics (plays, watch time, quiz scores) with LMS data and operational KPIs. If engagement is low, I refine scripts or segment content.
Common pitfalls and how to avoid them
- Overspending and feature sprawl → Pilot first and plan growth.
- Ignoring standards → Confirm SCORM/xAPI compatibility early.
- Under-localizing → Translate scripts and use multilingual voices.
- Production bottlenecks → Use Doc2Video, Templates, and AI editing.
- Vanity metrics → Link engagement data to proficiency, errors, and risk.
Summary
The data is clear: online employee training speeds up ramp, boosts retention, and reduces risk. It scales globally when you follow standards and measure outcomes.
Video-led, interactive modules make it easier for people to learn and for teams to maintain content. I use Colossyan to turn documents into on-brand, SCORM-compliant training with quizzes, branching, analytics, and instant translation.
Pair that with a structured implementation plan and clear metrics, and training becomes a measurable business advantage.
How To Create Videos Instantly with Script to Video AI Tools

If you already have a script, you can get a finished video in minutes. That’s where script-to-video AI tools shine: paste your words, pick a voice, let the AI pair visuals, and export. It won’t replace a full production team, but it gives you a strong first draft fast. For training teams, you can even go further with interactive elements and SCORM exports.
Quick answer
To create a video instantly with script-to-video AI: paste or upload your script, let the tool split it into scenes, choose an AI voice or clone your own, auto-pair visuals or add stock, set the aspect ratio (16:9, 9:16, or 1:1), add captions or highlights, preview, and export as MP4.
In Colossyan, you can also add avatars, interactive quizzes, analytics, instant translation, and export as SCORM for LMS tracking.
What “Script-to-Video” AI Means Today
Script-to-video tools turn text into timed videos with narration, visuals, and music. Most follow a similar workflow:
- Scene detection and script splitting
- Voice assignment (AI TTS, your own VO, or voice cloning)
- Visual pairing (stock, AI images, or your uploads)
- Music/SFX and transitions
- Aspect ratio and export options
One key detail: control over your words. Some tools rewrite scripts, while others preserve your exact copy.
For example, Visla’s Script to Video keeps your original text and only splits it into scenes — ideal for legally approved or finalized scripts.
On Reddit’s r/NewTubers, creators ask for low-cost tools that narrate scripts, add stock clips, and highlight keywords. The goal: automate the rough cut, then fine-tune manually. For regular content production, that workflow makes sense — let AI handle the first 80%, then you polish.
Speed Benchmarks: What to Expect
Modern tools produce a first draft in minutes:
- Visla: drafts in a few minutes with automatic scene splitting, B-roll, subtitles, and background music.
- Pictory: first video in under 10 minutes; includes 3M+ visuals and 15K music tracks.
- LTX Studio: claims 200% faster iterations and 3× faster collaboration.
- InVideo AI: reduces production time from half a day to about 30 minutes.
- VEED: users report a 60% reduction in editing time; rated 4.6/5 from 319 reviews.
Takeaway: Expect a solid draft in minutes. The final polish depends on brand standards and detail level.
Core Features to Look For
Script Handling and Control
If your script is approved copy, the tool should preserve it. Visla does this automatically.
In Colossyan, Doc2Video converts policy PDFs or Word docs into scenes without altering your language, unless you choose to use the AI Assistant to refine it.
Voice Options
Voice quality and flexibility vary.
- Visla offers natural AI voices, recordings, and cloning.
- InVideo supports 50+ languages and cloning.
- VEED pairs TTS with AI avatars.
In Colossyan, you can clone your own voice (Assets → Voices), define pronunciations for brand terms, choose multilingual voices, and fine-tune delivery.
Visuals and Stock
One-click pairing saves time.
- CapCut builds full videos automatically using stock footage and offers full editing tools.
- Pictory includes 3M+ visuals.
- InVideo offers access to 16M+ licensed clips.
In Colossyan, you can mix stock, AI-generated images, and your uploads, while Brand Kits keep fonts and colors consistent.
Editing Control
You’ll still need creative flexibility.
- Visla lets you rearrange scenes and swap footage.
- LTX Studio offers shot-by-shot control.
- In Colossyan, you can adjust timing markers, transitions, and avatar gestures.
Collaboration
Shared workspaces help teams stay in sync.
- Visla Workspaces allow shared projects and comments.
- LTX Studio emphasizes fast iteration.
- Colossyan supports commenting, role management, and sharing via link or LMS export.
Compliance, Analytics, and Enterprise Features
- Pictory offers SOC 2 and GDPR compliance plus an enterprise API.
- VEED has content safety guardrails.
- Colossyan exports SCORM with quiz tracking and provides analytics and CSV exports.
Step-by-Step: Creating a Video in Minutes
- Prepare your script with clear scene breaks.
- Paste or upload into the tool.
- Choose a voice (AI, cloned, or recorded).
- Let visuals auto-pair, then tweak as needed.
- Add on-screen highlights.
- Pick background music (keep it 12–18 dB under narration).
- Choose aspect ratio (9:16, 16:9, or 1:1).
- Preview, refine timing, and export MP4 + captions.
Step-by-Step in Colossyan: Fast L&D Workflow
Goal: Turn a 7-page compliance PDF into an interactive SCORM package in under an hour.
- Click Create a Video → Doc2Video and upload the PDF.
- Apply your Brand Kit for consistent fonts and colors.
- Add an AI avatar, clone your voice, and define pronunciations.
- Use text highlights and animation markers to emphasize key phrases.
- Insert multiple-choice questions with pass marks.
- Add branching for scenario-based decisions.
- Resize for 16:9 (LMS) or 9:16 (teasers).
- Review, collect comments, and finalize.
- Export SCORM 1.2/2004 or MP4 + captions.
- Track analytics, play counts, and quiz scores.
Real-World Examples
Example 1: Budget-Friendly Explainer
Use Colossyan’s Prompt2Video to generate scenes, highlight key words, and export vertical (9:16) videos for social clips.
Example 2: Compliance Training
Visla automates scenes and B-roll; Pictory creates a first draft in under 10 minutes.
In Colossyan, import a PDF, add quizzes, export SCORM, and track completion.
Example 3: Customer Service Role-Play
LTX Studio supports granular shot control.
In Colossyan, use two avatars in Conversation Mode, add branching, and analyze quiz outcomes.
Example 4: Global Localization
InVideo supports 50+ languages; Visla supports 7.
In Colossyan, use Instant Translation, assign multilingual voices, and adjust layouts for text expansion.
Tool Snapshots
Visla – Script-Preserving Automation
Visla Script to Video keeps exact wording, auto-splits scenes, adds B-roll, and exports in multiple aspect ratios. Supports AI voices, recordings, and cloning.
CapCut – Free, Browser-Based, Watermark-Free
CapCut Script to Video Maker generates 5 scripts per prompt, auto-pairs visuals, and provides full editing control.
LTX Studio – Cinematic Precision
LTX Studio auto-generates visuals, SFX, and music, with XML export and collaboration. Claims 200% faster iterations.
VEED – Browser-Based End-to-End Workflow
VEED Script Generator is rated 4.6/5, reduces editing time by 60%, and includes brand safety tools.
Pictory – Fast Drafts + Compliance
Pictory produces a first video in under 10 minutes, includes 3M visuals, 15K tracks, SOC 2 compliance, and API access.
InVideo AI – Storyboarded, Natural-Language Editing
InVideo supports 50+ languages, voice cloning, AI avatars, and claims average production time under 30 minutes.
Colossyan – Built for L&D Outcomes
Colossyan supports Doc2Video, PPT/PDF import, avatars, voice cloning, Brand Kits, quizzes, branching, analytics, Instant Translation, SCORM export, and collaboration.
Choosing the Right Tool: Quick Checklist
- Speed to draft and per-scene control
- Script fidelity (preserve vs rewrite)
- Voice options and language support
- Avatars and gesture control
- Visual depth (stock + AI)
- Interactivity and analytics
- Export formats (MP4, SCORM, captions)
- Collaboration features
- Brand kits and templates
- Compliance (SOC 2, GDPR)
- Licensing and watermarking
Pro Tips for Polished “Instant” Videos
- Structure your script by scene, one idea per block.
- Highlight 3–5 keywords per scene.
- Set pronunciations before rendering.
- Keep music under narration (−12 to −18 dB).
- Choose aspect ratios by channel.
- Translate before layout adjustments.
- For L&D, add branching and pass marks.
- Use templates for repeatable workflows.
The Future of Learning and Development: Harnessing the Power of Generative AI

The world of Learning and Development is on the verge of a revolution, with generative AI taking center stage. From creating highly engaging and personalized learning experiences to reducing the cost and time of producing content, generative AI is transforming the way we approach L&D. As the founder and CEO of an AI startup that helps L&D teams utilize AI video as a tool for effective learning content creation, I’ve spent a lot of time investigating the learning and development sector, as well as generative AI and its capabilities.
As a result, I strongly believe that whether or not you’re planning to use generative AI in your workflow, it is important to understand what it is, its advantages, and how to overcome the potential challenges that it may impose — and that’s exactly what I’m planning to explore through this article, with practical examples of how Colossyan utilizes the potential of generative AI to empower creators.
The future is already here, so being informed is the first step of embracing it; however, before we explore ways of harnessing the power of generative AI in L&D, let’s begin by answering this simple question: what even is generative AI?
What is Generative AI?
Let me give you a simple explanation — generative AI is a branch of artificial intelligence techniques that can generate various types of content based on a user's prompt. These generative AI systems use neural networks, deep learning, and natural language processing techniques to learn from existing data sets and produce new data that resembles the original data. Let’s look at some examples of content can be created using generative AI:
Text. GPT-4, Bard and similar language models have the ability to generate high-quality text in various writing styles, and can be used for content creation, translation, summarization, and conversation. They have the potential to revolutionize the way we interact with technology by providing contextually appropriate and virtually indistinguishable human-like text.

ChatGPT: One of the most well-known examples of Generative AI, with over 100 million users, ChatGPT has already achieved the title of the fastest-growing application in history.
Images. Text-to-image platforms such as Dall-E and Midjourney generate images from prompts — they learn from large datasets and generate high-quality images that resemble real-world objects. This technology has a wide range of applications, including content creation, prototyping, and visual storytelling.

“An astronaut riding a horse in photorealistic style.”
Audio. TTS (Text-to-Speech) such as ElevenLabs and other audio generators can create voice overs in various voices, languages and accents, as well as music and sound effects for all kinds of purposes, from video production to e-commerce and gaming.

Video. AI video platforms like Colossyan provide creators with an opportunity to produce high-quality videos for learning & development, communications and even marketing, all in a fraction of the time it would take with traditional video production.

How are AI videos generated? Let me share some insider information about the generative AI in Colossyan with you: as explained in one of our previous articles, Colossyan uses neural rendering, a technique that involves training neural networks to understand and simulate the physical properties of real-world objects and environments. To generate an AI video, Colossyan first captures real-world video footage of the desired scene, along with depth and motion information. This data is then fed into a neural network, which uses it to generate a 3D model of the scene.
The neural rendering techniques are employed to produce a textured and photorealistic image out of the 3D model. The networks are trained to produce realistic textures and studio quality lighting. The underlying 3D model can be manipulated and animated with the help of conditional generative networks and with the help of neural rendering, a photorealistic image can be generated based on the new scene parameters, allowing for the creation of dynamic, engaging AI videos. Colossyan's use of neural rendering enables the creation of AI videos that can easily be used for professional video-making, while also providing flexibility and customization options that traditional video production methods cannot match.
To summarize my point, generative AI has numerous applications, from content creation all the way to personalized chatbots that can engage in human-like conversations, capable of taking learning programs and even customer service to a whole new level. Overall, it is clear that the possibilities for generative AI are vast and continue to expand as the technology advances.
The Limitations of Traditional L&D Approaches
From having conversations with leading learning professionals and actively investigating the sector, I can see how corporate training has evolved rapidly over the past two decades. The rise of the LMS, as well as rapid authoring tools has led to a profusion of elearning in many forms. This content is often paired with classroom training to create blended, or flipped learning experience. Organizations recognize the value of training their people, with the global L&D market estimated to be worth 357 billion U.S. dollars. But for all the investment, L&D teams often face criticism that the learning experiences they offer are flawed, and fail to meet the individual needs of employees. Specifically, learning experiences face limitations such as:
Lack of personalization. One-size-fits-all training programs tend to be the norm, but this can make it difficult for organizations to address the specific needs and skill levels of each employee. Without personalized training, employees may struggle to reach their full potential, and organizations may fail to achieve their desired results. Furthermore, when designing learning at scale, it is very difficult to produce content that is optimally designed for each individual, and so learning designers tend to design experiences that will work best ‘for most people’.
Time and cost. In addition to the issue of personalization, traditional L&D methods can also be time-consuming and costly. Scaling L&D efforts across large organizations can be a daunting task, especially when it involves delivering training in-person or through other traditional means like filming video, or designing complex elearning. This gets even more complicated when multiple languages are involved, or updates to content are required..
Limited interactivity. Finally, these methods often have limited interactivity and do not provide opportunities for learners to apply new skills in real-world situations. Interactions need to be pre-determined by learning designers, for instance, in a branching scenario, even though learners are given the opportunity to make a decision, outcomes are predetermined, and there are only so many decisions they can make. As a result, employees may not fully engage with the material or retain the knowledge they learn, which can have a negative impact on the organization as a whole.
How Generative AI Can Transform L&D
Generative AI is already known to enhance L&D efforts in many ways, and I’m a strong believer that it has the transformative power to make L&D more effective than ever before. It can help boost course content ideation and creation by generating new ideas and producing relevant, engaging text, as well as audio and visual content. However, the benefits don’t stop there, as generative AI can also elevate L&D experiences with:
Personalization. Generative AI can be used to make learning much more personal and engaging: a good example would be KhanAcademy, where they utilize generative AI to power their Khanmigo assistant, which provides personalized help and guidance to students. The assistant is designed to understand the user's specific learning needs and provide tailored feedback and support, allowing learners to not only have access to information, but also to receive excellent guidance on how to effectively engage with it.

Planning. Generative AI can be a helpful tool for L&D strategy planning, as explored in the video below. Just like using Google to look up information, effective prompting can help you utilize generative AI to structure information, design a strategy and even apply relevant data (just make sure not to share any sensitive data!) to maximize the relevance of the output.

Content creation. A good example of this is AI video, which is a great tool for increasing engagement and providing valuable learning experiences, while reducing the cost and time needed to produce learning videos. Another benefit of AI video is its flexibility — while updating traditional videos can be challenging and time-consuming, creating AI videos is as simple as creating presentations, which makes it very easy to update and adapt them whenever needed. Generative AI can also help with localization, which allows creators to adapt videos to different languages and cultural contexts, making content accessible to a global audience.

linguistic and cultural gaps.
Overcoming the Challenges of Implementing
Generative AI in L&D
Implementing generative AI in L&D requires addressing ethical considerations, such as ensuring that AI-generated content is unbiased and transparent. While generative AI can produce some very impressive content, I’d like to highlight that it still requires human input and review in order to produce truly effective results: AI is most effective when used as an assistant and a collaborator, not a replacement. Here are some other challenges to consider:
Decision-making. People are more than data, and even with the most accurate input, you could still get AI-generated results that do not necessarily reflect what’s best for your specific learner or team. For that reason, I believe that it is important to work together with the AI, and not rely on it to do all the work for you: it is always a good practice to review the decisions made and the content produced with the AI, and where needed, adapt them using your own knowledge and expertise.
Credibility. Reviewing the credibility of AI-generated content is a crucial aspect of using generative AI — and this is where human efforts are most required. All generative AI models clearly state that there is always a chance of misinformation with AI-generated content, which is why it is important to ensure that you prompt the generative AI to only draw on credible sources for learning related materials, as well as carefully review the content generated.
Privacy and intellectual property rights. Using AI-generated videos ethically involves respecting privacy and intellectual property rights. It is important to ensure that personal information is not disclosed, and that the content does not violate copyright laws or infringe on someone's privacy. For that reason, Colossyan only allows creating custom avatars when given full consent from the person requesting their digital actor, with creators only being able to request a digital actor of themselves, and not of other people.
As the founder of a platform that provides creators with powerful AI tools, I understand that with great technology comes great responsibility, and therefore place a lot of importance on ensuring that the AI content generated in Colossyan Creator is used respectfully and for the right reasons.
My Prediction for the Next 5-10 Years
While the phenomenal speed of AI progress makes it difficult to predict when and how AI will affect various aspects of L&D, as well as life in general, I have some ideas about what could happen in the near future. Some of my predictions include:
Full democratization of video creation. In my opinion, the next 5-10 years will see the end-to-end creation of video content by anyone, enabling full democratization of video creation. Similarly to how Colossyan’s current AI Prompt-to-Video feature allows creators to produce video drafts by simply entering a prompt, this technology is likely to advance much further, with AI-generated videos going way beyond “talking heads'', and creators likely being able to generate complex, fully AI-generated videos.
Learning content personalization. Additionally, personalization of learning content will match AI-generated learning strategies to specific viewers, while the development of custom video avatars will make learning much more immersive and engaging. With personalized learning content, generative AI will completely transform the way we approach learning, as anyone will be able to engage with information in ways that work best for them. It will be much easier to track individual progress, as well as identify how knowledge gaps can be tackled.
Interactivity. Interactivity will also become a major component of learning, allowing viewers to engage in real-time experiences, and resulting in increased engagement, retention, and application of knowledge. AI-powered interactive learning tools like simulations, games, and virtual reality environments will enable learners to practice skills and apply knowledge in a risk-free and immersive way. This will lead to more effective and efficient L&D strategies and better learning outcomes for individuals and organizations.
The Future for Colossyan
The potential of generative AI goes beyond L&D, and here at Colossyan, providing a powerful tool for learning teams is only the beginning. Our vision is to revolutionize the learning, commercial and entertainment industries, as we continue to enable creators all over the world to embrace the future by harnessing the power of generative AI.
Thank you for reading this article, and I hope that you’ve found it useful! If you want to have a practical overview of how generative AI works, I encourage you to try out Colossyan — our free trial allows anyone to experience the power of AI video for themselves. Feel free to reach out to our team if you have any questions – I’d be very interested in hearing your thoughts on this topic. Happy creating!
Best,
Dominik from Colossyan
Digital Humans: What Are They and What Can They Do?

Imagine having a digital version of yourself that interacts with your friends, attends work meetings, and tries on new clothes. But that's not all, there are other digital humans too!
Your doctor can examine you thoroughly, your yoga instructor is available 24/7, and there's even a salesperson to help you choose a new car. We already communicate with technology on a daily basis, but something's missing. Did you know that 55% of communication is body language, 38% is tonality, and only 7% is words?
That's why digital humans are about to revolutionize our virtual interactions and have a huge impact on businesses and society. They look, act, and think like real humans, and they can even nod, wink, and roll their eyes. Technology already allows us to use digital humans in our communications, and soon everyone will have their own digital twin. So let's dive deeper into this exciting topic!
We already communicate with technology every day, but what's missing is that uniquely human emotional connection. That's where digital humans come in.
These lifelike beings look, act, and think like real humans, combining a realistic appearance with the ability to listen and understand meanings. They not only speak, but also nod, wink, and roll their eyes – humanizing our virtual interactions like never before.
With technology already allowing us to use digital humans in our communications, it's only a matter of time before everyone has their own digital twin. And this radical transformation in our online communication is set to largely impact businesses and society. So let's delve deeper into this exciting topic and see what the future holds!
What are digital humans?
In short, digital humans are human-like virtual beings that represent oneself in different virtual situations.
You might be wondering, are digital humans the same as avatars? The answer is yes, digital humans are a subcategory of avatars.
A digital avatar is an electronic image that is manipulated by the user. Digital humans, however, look just like real people, whereas traditional avatars can be more abstract. From simple illustrations to digital twins, our online representations are getting more and more sophisticated, and the avatar economy is on the rise.

Digital humans are designed so that other digital avatars or real people can interact with them, and their human likeness combined with artificial intelligence (AI) makes communication feel more real. This has a huge potential to radically change our online interactions.

When we talk about digital humans, there are two possible identities they represent:
- A digital human can be a digital twin of a real person (based on their anatomical, physical, and biological traits)
- A digital human can be a fictional character (based on the appearance of an actor or entirely generated by computer)
Isn't that cool? Let's explore the world of digital humans and see how they can change our online interactions!
What do digital humans do?
Well, the goal of digital humans is to recreate human interaction – and do it at scale. After all, we're social creatures and crave interactions with others.
That's why many companies have recognized the potential of adding a character or a mascot to their communication. Just think of Siri, Duo from Duolingo or the famous Clippy who helped us navigate computers in the 90s.
But digital humans go beyond chatbots and digital assistants. Because they can communicate via verbal and nonverbal cues, they are used for various scenarios: they can help us find answers online, guide us through various processes, give advice, and more.
Research indicates that people can better relate to digital humans that have a more realistic appearance. At the moment, the most realistic digital humans are the ones by Colossyan – besides verbal communication, they can also communicate via non-verbal cues, such as facial microgestures (winking, nodding, frowning…). However, realistic full-body avatars are still a work in progress.
Digital humans are rapidly entering our everyday lives, especially in the form of conversational AI. According to Emergen Research, the global market for digital humans will grow from $10 billion in 2020 to about $530 billion in 2030.

Imagine a world where digital twins can try on clothes and make-up, hang out with friends, and even attend work meetings – all in the virtual world. That's the future of digital humans.
Where are digital humans used?
Because digital humans are able to replicate real-world communication on a large scale, they're becoming increasingly popular in many different use cases.
From customer support representatives to instructors for training and education content, digital humans are everywhere. Plus, they are also used as presenters in marketing and sales videos, as well as digital influencers.
Here's an example of how you can use a digital human instructor in a sales training video:
As digital humans become more and more realistic and emotionally intelligent, the number of use cases for them is growing. In fact, we believe that soon each of us will have our own digital twin – and with the great technological advances being made every day, this is becoming more and more achievable.
How do you make a digital human using AI?
Are you ready to create a digital human using artificial intelligence? It's easier than you may think!
Colossyan is the industry leading AI video generation platform that excels in leveraging AI avatars to bring your videos to life. The platform offers 150+ stock avatars of all different ages, ethnicities, and professions that you can instantly use as your on-screen video talent. All of Colossyan's stock avatars are created from footage of human actors who have given their explicit consent to have their likeness used as a digital human.
Here's a closer look at Colossyan's selection of digital human AI avatars:
However, some projects may require AI avatars of a specific person on your team, such as your company founder or brand spokesperson. Fortunately, Colossyan supports the creation of custom avatars, meaning you can create a digital human of yourself that both looks an sounds like you.
Colossyan offers two different custom avatar options: Studio Avatars, which are professional quality and shot in a production studio, and Lite Avatars, which you can create at home using just your laptop camera.
Custom avatars do take a few days to create, so using stock AI avatars allows you to begin using digital humans in your video content in a matter of minutes.
What are the technologies used in developing digital humans?
Are you curious about what technologies are used to create digital humans? It's incredible how they can look and act so much like a real person, with realistic body language, micro gestures, facial expressions, and other nonverbal cues.
But it's not just their physical appearance that makes them so impressive - their ability to understand and use language is equally impressive. So, let's take a look at the complex combination of technologies that make digital humans possible:
- 3D scanning to serve as a basis for 3D modeling
- 3D modeling to create a 3D model of a person
- Natural language processing to understand voice commands
- Natural language generation to form responses
- Artificial intelligence to process input and learn from patterns
The biggest challenge for developers?
As you might've guessed, the biggest challenge with digital humans is ensuring they actually look and sound like real humans. Digital humans that seem overly computerized tend to suffer from the uncanny valley effect.
The uncanny valley is a phenomenon that occurs when a synthetic human looks and acts almost like a real human, but there is something slightly off that makes them seem unreal. This can cause a feeling of unease or even revulsion in people who encounter them.
However, as technology continues to advance, it's likely that the uncanny valley effect will gradually disappear and digital people will become indistinguishable from real people.
Why do we need digital humans?
Have you ever thought about why digital humans are becoming more and more prevalent in online communication? Well, they're pretty amazing! Not only do they have real business value (think virtual assistants and digital employees), but they're also a cornerstone of our digital identities in the virtual world. Here's why:
- They're available 24/7, need no vacation days, no salary, and no sleep.
- They're a scalable and affordable solution for businesses.
- They enhance our online interactions by combining verbal and non-verbal cues.
- They're accessible, as they can easily switch between languages and cultural contexts.
- They ensure anonymity when communicating about sensitive topics.
- They redefine the way people communicate with technology and with each other.

In short, digital humans add a human connection to the virtual world, improve our communication, and thus make our (digital) lives better. P
lus, have you ever heard of the Proteus effect? It's named after the Greek god Proteus, who could change his appearance at will – just like AI allows us to quickly change certain characteristics of a digital human.
This means you can change their tone of voice, language, hairstyle, clothes, skin color etc. on the fly, removing barriers to inclusion and allowing for greater identity expression and exploration. Pretty cool, huh?
5 risks that come with digital humans
Digital humans are the future of AI technology. But as with any new technology, there are potential risks to consider. Here are 5 things you need to know about the potential risks of digital humans:
- The uncanny valley: When interacting with a digital human, it can be a bit unsettling to realize it's not a real person. This can lead to a loss of trust.
- User privacy: People tend to disclose more personal information when they think they're talking to a human-like person online. This means we need more regulations to protect our privacy.
- Ethics: Creating digital humans can bring up stereotypes and false representations of society. We need to be mindful of these issues when selecting or designing digital humans for different use cases.
- Human interactions: What happens when our digital identities are no longer tied to the physical world? We don't yet know how this will affect human interactions, which are the building blocks of our society.
- Identity: With the ability to reinvent ourselves in digital worlds, trust and transparency can become a concern. It's important to consider the consequences of this newfound freedom.
The future of human interaction
The age of digital humans has arrived, and it's not going anywhere. Get ready for the future of human interaction.
Not only can digital humans help you massively scale your content creation efforts, but they can make doing so more cost effective too. No need to hire human actors, deal with filming delays, and take on cumbersome editing software anymore.
Instead, Colossyan allows you to create the same professional-quality content in a matter of hours instead of days or weeks.
Ready to come see the power of digital humans for yourself? Give Colossyan Creator a try for free today.
5 Reasons Why Videos Are A Must-Have for Learning Teams
If you’re in the learning and education space, you know how competitive it is.
Your audience has a broad range of options when it comes to browsing for content on the internet. They can get information about any given topic from a number of websites and publications. So, what makes your learning experiences stand out? Why should someone choose your site over another?
Content is the key to drawing your visitors in. You need to put your best foot forward if your students to stick around and return again and again. Short videos and online classes are the base of the learning process today. Video content can have a large effect on student engagement as they provide something unique and visual elements and interactive features so they won’t be able to look away.
Let’s take a look at 5 reasons why video parts in the curricula for student learning are a must-have for for anyone working with learning and education.
Video content for learning and education is a new visual channel to stand out
If you want to make sure your website or course gets noticed, you need to make sure your content is easily distinguishable from the rest. Video for learning and education is an excellent way to differentiate yourself from your competitors.
It’s the perfect way to make your content stand out from the rest because of two main reasons:
- Video content has not been part of traditional courses. It’s not something that’s used enough on education and learning websites, considering how effective educational videos are in getting thourgh important information and include visual elements in the curricula.
- Video content can be incredibly engaging, entertaining, contributes to active learning, helps working memory, and overall supports student learning. Consequently, it means visitors will be drawn to it like a magnet and will want to stick around. They won’t be able to look away because your video content will be so captivating and engaging even more so with interactive features and compelling visual elements. Utilizing video will help you reach the desired learning outcome with less cognitive effort from the student's side, while the length of time students spend studying can be also reduced.
Cognitive load theory has important implications to this point. The theory refers to the amount of working memory resources used. Earlier research suggests, the fundamental tenet of cognitive load theory is that the quality of instructional design will be raised if greater consideration is given to the role and limitations of working memory. With increased distractions, particularly from cell phone use, students are more prone to experiencing high cognitive load which can reduce academic success.
People love video content
People have a general love for video content. It’s a natural human instinct to want to see visuals along with content.
This is especially true when it comes to topics like education and learning. Student engagement through video can be increased with the concepts being taught come to life in front of their eyes. Visually appealing video design is the way to go if you want to hook your viewers and reel them in. Studies show that productive use of video supports the retention of more information from video content than from written articles, while reducing the cognitive load.
Visuals inspire working memory and sensory memory to contribute to remember additional information afterwards. It’s a great way to make sure your visitors get the extra information they want from your website and then some. If you want to make sure your readers remember what they’re reading, you need to make sure your content has visuals accompanying it. This is where video content comes in handy. It’s a great way to make sure your viewers understand the content and learn from it.
Video can teach while keeping people entertained
If you want to make sure your visitors are captivated and eager for more, video is the way to go. You can have a variety of video content on your site to cater to different learning styles using informal and formal language, different video design and types of segmenting your content. This way, your content is accessible to a larger audience.
If you’re not sure what kind of video content to include on your website, it’s best to stick with the tried-and-true methods of teaching like a how-to video. This type of video is great for teaching people how to do certain tasks, like installing software, designing websites, to mention some common examples. You can also use video to teach more complex topics like math, history, etc. Using video for education is a great way to mix entertainment with education. This is especially important for kids who are in the age range where they’re learning a lot of new things.
Video is a must have if you wanna stay competitive in the digital age
This goes back to the first reason why video content is a must-have for learning and education websites: it makes your content stand out from the crowd. If you want your website to be at the top of the game and on the path to success, you need to include video content on your site.
The competition is fierce, and if you don’t use every method at your disposal to rise above the rest, you could fall behind. Video content is a great way to gain an edge on your competition and make sure your site stays at the top of the game. It’s the best way to grab your visitors’ attention and keep it. Without engaging content, you risk losing your audience. Video content is a great way to make sure that doesn’t happen.
There are many ways to use video in education and learning
Video content doesn’t always have to be used for education. It’s a great way to teach people about who you are and what your company or website is all about. It’s a great way to let your audience get to know you better and feel like they’re a part of your team. It’s a great way to build trust and encourage people to learn more about your site and what you have to offer. You can also use video as a form of entertainment. You can have a variety show-like video or a funny video on your site. You can also have a video that’s specifically meant to entertain.
Tips from social psychology to create better learning and educational video content
Support the learning process with guiding questions in your videos along the timeline of the video.
Follow the personalization principle: People learn better from multimedia presentations when words are in conversational style rather than formal style.
Remember cognitive load theory and limited capacity of the receiver to extra information, integration of new information has to be gradual, but using visual channels will help the retention in the long term.
Look up Germane load if you want to understand this better. In social psychology, Germane load is the portion of the memory devoted to integrating new information, the creation and modification of schema (Sweller, van Merriënboer, & Paas, 1998). Germane load is similar to the memory usage of your computer while it's actually installing your programs.
Conclusion
The important thing to remember is that video is an outstanding tool to support learning and education whether it be website visitors, novice learners or anyone really you wish to engage. websites make it clear just how important it is. It’s the best way to grab your visitors’ attention and keep it. It’s the best way to make sure your content stands out from the crowd and is easily distinguishable from the rest. It’s the best way to make sure your content is easily accessible to a larger audience. It’s the best way to differentiate yourself from your competition and stay competitive in the digital age.
Colossyan 2.0: We’ve redesigned our creator from the ground up
We’re pleased to announce our biggest rework yet…
Introducing Colossyan 2.0. The newest generation of your favourite video creator.
Colossyan 2.0 isn’t just a new coat of paint. We’ve worked on every part of the machine to provide a faster, more reliable experience for you. Plus we’ve laid everything out so that it just makes more sense. Here’s what you can expect:
A smoother experience
We’ve given our interface a complete redesign to make it more intuitive for users; a better menu bar with all the options so you don’t have to go searching for anything while you’re in editing mode. You’ll find that everything just flows better too.
Better, faster, stronger
We beefed up our backend to make video creation 200% faster. We wanted to make sure that generating your videos was super quick, so we got straight down to it. Enjoy improved stability so you can focus on what’s important - creating valuable video content to delight your users.
Rock-solid reliability
Expect more from your favourite video creation product. We’ve combed over the bugs and fixed the code to create a more reliable experience with improved stability. Nothing wonky here!
Get a better idea of what you’re creating
We’ve fine-tuned the video creator so you can see your scenes more easily, quickly add transitions, and preview what your video will look like. You’ll also be able to see an estimate of how long your video will be. How helpful!

We’re curious to see what you think of Colossyan 2.0!
Continue creating content with Colossyan now.
Neural Rendering: The Technology behind Colossyan Creator
Classic rendering techniques can generate photorealistic images for various complex, real-world scenarios when given high-quality scene specifications.
They also gives us explicit editing capabilities over various elements of a scene like camera viewpoint, lighting, geometry, and materials. But a significant manual effort is required to generate high-quality scene models from images. Automating scene modeling from images is an open research problem.
Deep generative models
Deep generative models have improved quite a lot in recent years, successfully produce high-quality, photorealistic images and videos that are visually compelling. These networks can generate images or videos either from random noise or can be conditioned on certain user inputs like segmentation masks or layouts. However, they have limitations and these techniques do not yet support fine-grained control of the details of the generated scene. They also cannot always handle complex interactions between the scene objects well.
In contrast, neural rendering methods try to use the best of both approaches and enable the controllability, and synthesis of novel, high-quality images or videos. There are different types of neural rendering techniques depending on the:
- Level or type of control they support over the synthetic output
- Types of input they require
- Outputs they produce
- Nature of the network or architecture they use
The inputs for a typical neural rendering approach are certain scene conditions like viewpoint, layout, and lighting. A neural scene representation is then built from these inputs. Later, images can be synthesized based on novel scene properties using this representation. This encoded scene representation is not constrained by modeling approximations and can be optimized for new, high-quality images. Neural rendering techniques also incorporate ideas from classical computer graphics like input features, network architectures, and scene representations. This makes the learning task easier and helps increase the controllability of the output.

Neural Rendering
There is a type of Neural Rendering that enables novel-viewpoint synthesis as well as scene-editing in 3D (geometry deformation, removal, copy-move). It is trained for a specific scene or object. Besides ground truth color images, it requires a coarse, reconstructed and tracked 3D mesh including a texture parametrization.
Instead of the classical texture, the approach learns a neural texture, a texture that contains neural feature descriptors per surface point. A classical computer graphics rasterizer is used to sample these neural textures, and given the 3D geometry and viewpoint, resulting in a projection of the neural feature descriptors onto the image plane.
The final output image is generated from the rendered feature descriptors using a small U-Net, which is trained in conjunction with the neural texture. The learned neural feature descriptors and decoder network compensates for the coarseness of the underlying geometry, as well as for tracking errors, while the classical rendering step ensures consistent 3D image formation.
These techniques also find their applications in facial reenactment problems. The human facial texture can be encoded in the form of neural textures. Then, with the help of UV maps, this texture can be sampled. The deep U-NET-type architectures can be used to decode the neural textures. Once the neural texture is decoded, another UNET-like architecture can be employed to paint the synthetic texture on the background image.
Colossyan makes use of such technology to achieve the talking avatar generation. We have developed conditional generative neural networks that help us generate photorealistic videos according to a given audio signal. The whole pipeline involves different steps from processing the speech signal to driving the human face model, to performing neural rendering. All the above-discussed techniques play a very important role in achieving lifelike results.
Also read: AI Video Generation: What Is It and How Does It Work?
Personalize your chatbots with Colossyan and VideoAsk
Want to make your website even more interactive? We’ve got two apps that make it easy for you. First - Colossyan, the go-to solution for anyone looking for high-quality synthetic video content. And second - VideoAsk, a web app that lets you ask your audience questions and receive answers, face-to-face.
Look how easy it is to set up. Just follow these steps to make your first interactive AI-generated video chatbot.
How to set up your first video chatbot in just a few simple steps:
What do you need:
- Colossyan account: With Colossyan create studio-quality videos with AI actors for your chatbot flow. Sign up quickly here.
- VideoAsk account: VideoAsk is a platform for hosting chatbot-style video widgets. here you can create your Video Ask account here. Upload your Colossyan-generated video to VideoAsk.
Build a chatbot the human way
Build a voice-driven chatbot with personality, powered by AI technology. Use it for all your conversational workflows. Get face-to-face with your prospects, customers, or audience through asynchronous video.
This way you can:
- Add a personal touch to your website
- Boost your customers’ experience
- Engage with your audience
- Get better feedback from clients
- Answer questions when you’re not there
How to set it up
Let’s start with Colossyan-related set up:
- First, start planning your video chatbot. You can do this on a piece of paper, or with online application like Miro. Gather the questions and answers you want to use for the video.
- Prepare the video script. You will need about 5-6 separate videos for your chatbot. Try putting together shorter videos as each clip can’t be longer than 30 seconds.
- Start creating your videos in Colossyan Creator. Some tips for best results: because VideoAsk widget shows videos in portrait mode, it’s best to select the 9:16 scene size. To do this pick an actor, go to settings, and choose the right format. Pick or upload a background image or video, add music and once you’re happy with the final result genareta your video. Then it’s time to work with the flow in VideoAsk.
A quick guide how to start with Colossyan Creator:
Now set up VideoAsk:
- Go to VideoAsk and create a new VideoAsk. Select the “Upload a video” option. Now you can upload your video from Colossyan. You can add text and decide which questions to use as options. Multiple choice answers are a good way to go.
- Now it’s time to customize your VideoAsk. Give it a name, select the language, choose your colors, the style of the widget and you're ready to share!
Now you can breathe life into your chatbots with personalized videos and AI actors.
Colossyan and Tolstoy! A brilliant collaboration
AI is amazing, no doubt about it. But how does one go about implementing AI and actually use it in day to day activities? Are you a content creator for a webshop, an e-commerce business owner or manager at a larger company, or are you just looking to innovate and discover? Look no further, we got you covered!
Colossyan meets Tolstoy! Boom!
Colossyan, the is the go-to solution for everyone looking for high-quality synthetic video content and Tolstoy the one and only interactive video creator tool meets to deliver the interactive video content, easier than you ever thought possible — a match made in synthetic heaven. If a desperate friend asks you, wiping his/her tears: “How can I save money and time creating interactive videos?” You have the answer, that’s right: Colossyan + Tolstoy. Let us make it easy on you, just follow these steps to make your first interactive AI generate video chatbot:
How to start:
- Set up your Tolstoy account: Tolstoy allows you to build personalized, one-on-one interactive conversations on your website, send in email campaigns, inside your SaaS platform, and much more.
- Sign up for Colossyan. With Colossyan you can generate synthetic, studio-quality videos with AI actors.
How to use Colossyan Creator?
- Pick an actor: Choose an actor from our ever-growing international selection. We also offer exclusive actors and face/voice cloning.
- Write script: Input your script for the actor to read. Our text-to-speech software supports more than 60 languages and accents.
- Generate video: This is where the magic happens! In just a few minutes, Colossyan generates your video that is ready to watch and share.
Further guidelines follow the guidelines on this video:
How to use Colossyan and Tolstoy together:
1. First, prepare your videos. Depending on your use case, determine how many videos you’ll want to use. To make the video more dynamic, keep the scripts as short as possible, around 30 seconds each.
2. Go to Colossyan Creator, and generate your videos. For extra help on best practices, check out Colossyan’s Youtube for tutorials.
3. Next, head over to Tolstoy and create a new Tolstoy. Then choose “Make my own” and "Upload a video" option. Upload your Colossyan video. You can add overlay text, and decide how people should "answer" the particular step. Click save, and you have your first "step"!
4. Create more steps in Tolstoy until you have created a personalized conversation flow.
5. Then you're ready to share your Tolstoy. You can embed on your website, as a pop up widget, or in an email campaign.
6. Track interactions in the Tolstoy dashboard to monitor progress and optimize the journey.
Now you are a total pro creating interactive videos
Even if you have never made a video in your life, now you can create a professional and interactive video in just a few minutes. You can use your interactive videos for marketing, sales, or even for training. These platforms offer you a time-saving option to engage with your audience.
Where the Magic Happens: AI Video Generator
For some years now, it is undeniable that videos, in all their forms, have become quite important in almost every field. They are even more important in online marketing as an advertising tool.
The traditional process of making a video has historically presented many challenges, ranging from tedious filming schedules to long editing timelines. Fortunately, AI video eliminates many of these obstacles.
In this blog, we'll explain how this cost-effective and revolutionary AI video generator technology works.
Choosing the right AI avatar
Many tools use AI avatars as the main on-screen talent used to bring your message to life. By using AI actors, there's no longer a need to rent studios to film footage or hire human actors.
But to use an AI actor effectively, you'll want to make sure that you choose the right avatar to convey your content effectively. Tools like Colossyan offer 150+ different AI actors of all different ages, ethnicities, and professions. This way, you can choose an avatar that successfully represents your audience demographics.
Your AI avatar will essentially be the face of your content – so it's important to choose wisely. Fortunately, tools like Colossyan support the use of multiple avatars in a single scene, giving you a wider choice of avatars. This is especially useful when developing scenario-based training content.

Choosing the setting and languages
The setting of your video is paramount. After all, there's a reason why people spend large sums of money to rent fully equipped studios to shoot video content. However, with an AI video generator, there's no need for studios.
Instead, you can add background images to set your video anywhere you choose. In just a few clicks, your AI avatar can go from a beach scene to a busy cityscape. No need to pick up a camera.
In addition to determining where your video is set, it's also important to decide what languages you want it to be in. Traditionally, you'd need to reshoot your footage for each language variant you needed, but now with AI video, your content can be translated to 100+ languages in just a few clicks. This allows you to localize your content for different audiences all over the world at no extra cost.
Prepare your script and desired effects in the video
Now that the stage is set and the actor is chosen, it's time to get down to the content. What exactly do you want your AI avatars to say?
Most AI-based videos that use avatars rely on text to speech, meaning you'll input a video script, and your avatar will create a narrative voiceover in return. AI script assistant tools, as well as document to video and prompt to video workflows can help make the scriptwriting process more painless.
Colossyan is a great example of a tool with these features. Additionally, Colossyan's video editing interface is extremely user friendly, meaning you can create professional-grade video content with no additional skills or experience.
The ease of use of whichever video generator tool you decide to use is extremely important, as this will make it easier to add additional elements like images and music that can really spruce up your content.
Here's a bit more about Colossyan:
Leveraging an AI video generator can not only save you time and money, but it can also make your content more engaging.
Don't believe us? Come see for yourself and try Colossyan for free.
How the Evolution of AI is Revolutionizing the Learning and Development Sector
AI technologies are being harnessed more than ever across a variety of sectors, learning and development is no different.
Using artificial intelligence to synthesise videos is a subject on an exponential curve drawing more and more interest as a multitude of companies and people discover the opportunity to reduce costs and lead time of video production. AI videos are about to revolutionize L&D, eLearning, and video training.
The main reason is that AI successfully addresses deep-rooted struggles and specific challenges around educating and teaching with video, quickly establishing itself as a key tool in eLearning.
We are at the forefront of this, Colossyan is shaping the new the way to training employees and individuals. No company can ignore these developments, and you are at the right place to be one of the first ones using this amazing tech.
The modernization of training methods
The education sector is evolving, artificial intelligence and machine learning is here to stay and make the job of L&D content developers a lot easier. The work of content creators and marketers can be reduced by as much as 80% with this technological revolution and content can be developed much faster.
Colossyan's technology allows users to synthetically generate and produce instructional videos presented by AI/synthetic actors, all through one intuitive platform. Using videos with faces/human presenters enhances the overall learning experience and increases both engagement and retention of information.
The AI software means videos are much easier to produce. No more expensive filming studios, equipment, overhead costs, or actor recruitment. Colossyan Creator has a library of life-like characters and avatars to select from to create content using just a script.
You can choose from:
- A range characters
- Diverse looks and dressing styles
- Various ethnicities
- Different ages and sexes
An educational video for children will have much more impact if it is presented by someone with looks and mannerisms they can relate to.
Secondly, AI allows the adoption of your training videos into multiple languages. From English to Arabic, Colossyan has over 70 languages to choose from for your video. You can get through your message to virtually anyone in the world regardless of the language the speak.
Finally, AI has the power to make videos for teaching purposes easier to understand for individual targets. Artificial intelligence can adapt intonation, accent, enunciation, voice speed, and more depending on where the viewer is from, their prior knowledge, etc. Indeed, the method used by Colossyan offers a unique balance between humans and machines. The videos are presented by actors whose voices and movements are mapped and synthetically recreated. Human actors create a personal connection with the viewer, acting as a bridge that makes artificial intelligence relatable. Training is becoming easier with this modernization of artificial intelligence.
Teaching in a few figures
Studies in the field of training show that on average people understand teachings through video nine times faster than in a written format or presented in person. Indeed, understanding a message is much easier when it appeals to several of our senses.
Watching a video involves both hearing and seeing, which is why it is so effective. It takes about five to ten minutes to produce a video with artificial intelligence. Compared to traditional video production with a studio and actors, AI can reduce video creation times by 90%! AI can save most of your cots and energy to focus on what's important and in addition guarantees you quality content.
Today, thousands of companies are adapting or have already adapted AI training because of its huge advantages, are you ready to be part of the trend?!



