5 Steps To Get Started Using AI To Edit Videos

Step 1: Understand Why You Want AI Video Editing

Before you try an AI video editor, get clear on the problem you’re solving. For some, it’s about speed: traditional video editing takes hours or days. With AI, you could spend as little as a few minutes generating drafts. Others want higher consistency, better accessibility, or to serve more learners in more languages. Many AI tools say they cut editing time dramatically and make professional video creation accessible without advanced skills. For example, Riverside claims its AI Producer can reduce editing time by about 50%. If you know your main pain-slowness, cost, skill gaps, or output quality-you can focus on the AI workflow that matches your needs.

Step 2: Choose the Right AI Video Editor for Your Work

Not all AI video editors are built the same. Some focus on raw-to-polished video in one click, good for social media or fast comms. Others specialize in structure, helping you start from a script, document, or playlist and output consistent training content. For creators, some offer templates and stock assets; for L&D or internal teams, features like brand kits, analytics, and SCORM compliance matter more. If you just want social content clipped and repurposed, some tools auto-generate shorts for TikTok, Instagram, or YouTube, sometimes in under a minute.

For enterprise training teams, choosing a platform that integrates with your learning management system, supports accurate multilingual voiceovers, and handles branding at scale is critical. If your focus is video-based learning or consistent messaging, you want collaboration, analytics, and production controls built in.

At Colossyan, we see organizations struggle with scattered training assets and long production timelines. Our platform supports document-to-video conversion, brand kits for company styling, team-based workspaces, analytics, and direct export to SCORM for e-learning. It’s all tailored for rapid creation and compliance, not just flashy social clips.

Step 3: Collect and Prepare Your Source Content

The fastest way to get value from AI video editing is to start with structured source material. Have your training slides, documentation, process guides, or scripts ready. Many AI tools can ingest PDFs, PPTs, or raw text and build out scenes automatically. Some platforms can even pull speaker notes to become narration with no extra work.

This is more than a time saver: it raises quality and keeps things on-message. For example, our clients often import PowerPoint decks or PDF handbooks and instantly convert them to interactive videos. Our editor turns each slide or page into a scene. This isn’t unique, but our integrations for instant avatars, voiceovers, and template-based layout take away hours of hand-editing and make it easier to stay on brand with each update.

If you’re repurposing conference recordings or meetings for content, some platforms claim you can create a month of social posts from long-form recordings in minutes. Opus says agencies can schedule a month’s posts in just 10 minutes with AI-powered workflows. But for structured training, having source documents makes the path smoother and results more predictable.

Step 4: Use Templates and Brand Controls for Consistency

Most organizations care about how their videos look, not just what they say. AI-powered editors can get you started fast, but without templates, brand kits, and content libraries, you’ll end up with mixed messaging and confusing visuals.

That’s why baked-in templates and the ability to automate logos, fonts, colors, and avatar styling matter. Our users at Colossyan rely on our brand kit feature to roll out consistent design across all video outputs, from HR onboarding to compliance e-learning. Using brand-controlled templates lets non-designers achieve professional results without extra manual work. New team members can simply pick a template and get results that meet brand standards.

Consistency is also important when exporting for platforms beyond your website-such as uploading to an LMS or sharing on social channels. Automated resizing, grid features, and simple drag-and-drop foldering keep your workspace organized and collaborative, especially for large teams.

Step 5: Edit, Collaborate, Publish, and Measure

The real power of an AI video platform is what it lets you do after the first draft. Modern AI editors offer text-based video editing: you change the script, voiceover, accent, or cut scenes just by editing text. Some can generate captions or translations automatically into dozens of languages-Google Vids, for example, supports auto-generated closed captions and voiceovers.

In Colossyan, you can update scripts, swap avatars (including instant avatars made from your own team members), tweak pronunciations, and even translate an entire draft at once. If the message changes, no need to re-record; just update the source, regenerate, and the video is ready. Workspaces, user roles, and commenting tools streamline review and approval, keeping everyone on the same page.

Publishing doesn’t just mean download-it could be direct SCORM export for your LMS, embedding in web pages, or sharing as a link or file. But the real test of success is what the analytics tell you. If you turn on interactive quizzes or branching, you’ll see exactly who viewed, how long they watched, and how they performed. This matters for compliance training or when you need to prove learning outcomes.

Opinion: AI Video Editors Are Useful-If You Stay Intentional

It’s tempting to think AI will handle everything, but results depend on focused use. If you want quick highlight clips for social, many platforms do this well and can save you a few hours each week. Invideo claims 25 million users and features like Magic Box text-based editing for quick changes-that clearly appeals to content marketers.

But if your need is high-stakes learning, onboarding, or compliance, you need more than fast cuts and fancy formatting. You need control, branding, analytics, and compliance support. At Colossyan, this is exactly what we focus on-let AI do the heavy lifting, but give teams the controls and insights they need to put out high-quality, measurable, and scalable training videos.

The winning workflow isn’t to use every feature; it’s to use the right ones for your job. AI video tools can save you time and help scale production, but they work best when they slot cleanly into an existing process and address specific gaps. That way, you get speed, consistency, and data without introducing chaos or risk.