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You’ve spent several months, maybe even years, investing in blog post content to boost your SEO and drive more traffic to your website. But the marketplace of content consumption is changing. 

More and more, consumers are turning to video content – from YouTube videos to TikTok clips – as a reference point for making purchase decisions.

It only makes sense, then, that you’d want to invest in video content. But does that mean you have to flush all of your hard work on your blog posts down the drain?

The short answer? No.

In this article, we’ll discuss how text to video generative AI tools can simplify the process of AI content repurposing by transforming your informative written content into engaging videos – without ever having to touch a camera. 

Let’s dive in. 

What is AI content repurposing? 

Content repurposing involves taking existing content and adapting it into multiple different variations and formats, allowing you to extend the lifespan of each content piece and reach new audiences. 

Repurposed content might include turning a blog post into a video, breaking down a webinar into social media posts, converting a podcast into a blog article, or transforming an ebook into an email series, for instance. 

Traditionally, content repurposing can be a lengthy and time consuming process. After all, turning written blog posts into a video has historically required you to write scripts, physically film footage, and spend hours piecing it all together. 

But, thanks to advancements in generative AI, content repurposing has become significantly easier and more streamlined. Now, turning a document into a video only takes a few minutes, and it doesn’t require any extra effort by your team. 

Key benefits of content repurposing 

Wondering why content repurposing is a must-have in your content strategy? 

Look no further. Here’s an overview of the ways that AI content repurposing can help you save time, refresh outdated content, and engage audiences in new ways. 

Save time and money on content production

A high-quality piece of content can take a significant amount of time, energy, and budget to create, particularly if there’s a high degree of research involved. 

Content repurposing helps you save time by eliminating the need to create bespoke content for each channel, and instead find ways to deliver the same content in new ways that will best engage the audience on each platform.

Maintain consistency across different platforms 

When it comes to creating branded content for your organization, consistency is key. 

Not only do you want your content strategy to resonate across different platforms, but you also want to keep your brand identity intact and recognizable to your audience. 

AI content repurposing helps you do just that, allowing you to adapt your content delivery method while keeping the same core message and tone. Plus, with repurposed content, it’s never been easier to maintain a strong publishing frequency. 

Improve audience reach and engagement 

Some people regularly read blogs, while others prefer to spend their time scrolling LinkedIn or listening to a podcast. 

Bringing the same content to multiple channels helps you reach a wider audience with different preferences, and share existing content in new and fresh ways. 

Access new markets 

One of the main benefits of AI-powered content repurposing? Translating your content into different languages can be done in just a few clicks. 

Instead of needing to manually write multilingual blogs, an AI text-to-video tool is able to take a single blog and turn it into a video in more than 80 languages. 

This way, you can scale your presence in new markets without having to bring additional content creators onboard, or waste hours on tedious translation tasks. Use the same piece of content to expand your reach globally.

Related: How to Use AI for Video Localization

How to repurpose content using text to video AI

Using an AI video tool like Colossyan to transform your existing text documents into videos is the absolute easiest way to get started with AI content repurposing. 

Because Colossyan uses AI avatars and text-to-speech voiceovers to narrate videos, you won’t need to film yourself or use any video equipment to create stunning videos. All you need to do is upload your document, and Colossyan will create a video draft that’s ready to go. 

Here’s how it works:

Turn existing documents into videos 

While there are multiple ways to create videos in Colossyan, the document-to-video feature is best suited for content repurposing. 

To use document to video, you'll start by clicking "AI video creator" at the top of your Colossyan homepage. This pop up will allow you to upload the text-based document you wish to turn into a video. You have the option to upload PDF, PPTX, TXT, and DOCX files with a maximum upload size of 20MB.

Here, you'll also have the option to choose your video duration, and select whether you'd like your video draft to include interactive elements like branching scenarios or quizzes. Colossyan's AI will scan your uploaded document to create your video draft and also create quizzes based on your information, if you choose to include interactivity.

Once the document has been uploaded, you’ll continue to the next screen, where you can choose a template to determine the look and feel of your video draft.

Next, you'll have the option to customize your template by editing the color selections or by selecting your organization's brand kit. After that's done, within 60 seconds Colossyan will generate your video draft.

This video draft is completely customizable based on your content repurposing needs. Although your draft will come with a customized script, text-to-speech voiceover, and several avatars, you’ll still be able to fully edit and customize all of the elements in your draft. 

Hit “generate” once you're happy with your draft, and your video is ready to be shared across any platform! 

Begin with a detailed prompt 

Don’t have a document to turn into a video? Colossyan’s prompt-to-video capabilities offer another solution to help you bring ideas from your existing content to life in a video format. 

Using Colossyan’s prompt to video feature is simple – and you'll start with Colossyan's AI video creator feature again. But instead of uploading a file, this time you'll just add your text prompt. You'll still have the ability to choose your video duration or add interactivity if you choose.

Adding more specific prompts will lead to better outputs. For example, if I wanted to create a video about this blog you’re reading right now, I might add a prompt like: 

“Create a video that explains what content repurposing is, the benefits of it, and how AI video can be a great medium for repurposing text content. Please maintain a professional tone.”

Next, you’ll pick a template, and your video will generate. Within seconds, you’ll have a complete video draft that you can edit as needed. 

Here’s the video draft that Colossyan generated using the above prompt: 

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Create a video from scratch using repurposed ideas 

While Colossyan’s document-to-video and prompt-to-video workflows can save you a significant amount of time in the repurposed content creation process, you also have the option to create videos from scratch. 

Starting a new video draft from scratch in Colossyan means you’ll have full control over the AI avatars, voiceovers, and visual design of every single video screen. 

Colossyan’s video editing suite offers a ton of different customization options – you can upload your own media, add a custom brand kit, and fully customize the animations, transitions, and other effects like music. 

Alternatively, Colossyan offers a library of dozens of templates you can use to get your video projects off the ground faster. 

Identifying the right content to repurpose as videos

Using AI to create videos from text is very easy, but that doesn’t necessarily mean you should create videos for every single blog or ebook you write. 

Instead, you’ll want to first identify which content is a good fit for repurposing. Here are a few important factors to consider:

• How is the written content currently performing? Is the blog driving traffic?
• How well would the information translate to video from text? 
• Would having a video asset help support your business goals (such as converting potential customers)? 
• Is there a demand for video from the target audience for this content?
• Where would you plan to distribute the video? Email, social media?
• Would a section (or sections) of the existing article benefit from a video explanation instead of the entire content piece?

Answering yes to one or more of these questions likely means that your existing content is a good fit for video-based AI content repurposing.

4 ways to use repurposed text to video content

Using a text to video AI platform like Colossyan to create content is just the first step. Distribution is a very important next step in the content repurposing process in order to fully maximize the impact of each piece of content you create. 

Here are four ways you can use repurposed blog posts:

1. Embed the video content on your blog

An easy win is to embed the video content you’ve created on the original blog page.

This gives readers an additional content format to digest. They might land on the blog from a Google search (if you’ve done a good job of optimizing your article for search) but be pleasantly surprised with the option to digest the information faster via video.

Or, if your article focuses on a topic that’s particularly complex, a short video that helps break down a complicated concept within the article may be useful to readers. 

2. Promote clips on social media 

All good content marketing strategies include a plan for distribution, and video content should be no exception.

One great way to increase the reach of the content you’ve converted to video is to break it up into smaller clips and share them via social media posts.

Say, for example, you’ve converted a piece of long-form content into a series of seven-minute videos. These might be too long to share directly on social media platforms like LinkedIn, but a 30-second teaser containing a key takeaway from the video can be an invaluable way to drive traffic to the full-length version.

3. Support your sales team with video collateral 

Well-designed video content can also be an effective asset for sales teams to use to win over customers.

Let’s say you used a bottom-of-funnel blog post that compared your product to competitors’ products as the basis for an AI video. You now have a five-minute clip that features a text-to-speech AI avatar explaining how your product differs from a common competitor, which your sales team can use to handle objections like “But we’re already working with X.”

4. Add clips to your email campaigns

Finally, AI video content is an innovative way to spice up your marketing campaigns and stand out in a sea of incoming emails.

Everyone sends plain text emails. You can ramp up your campaigns, capture attention, and even put a personalized touch on sales emails with AI videos. Plus, you can even convert your existing one-pagers to video with Colossyan in just seconds.

Get started with AI content repurposing for free with Colossyan

Text to video AI solutions like Colossyan offer an easy way to convert your written content into a more visual format, allowing you to get more mileage out of your existing content. 

Having a dedicated content repurposing tool will not only save you time in the content production process, but it can also make a significant difference in growing your audience engagement and reach across different platforms. 

But we’ve shared enough about the content repurposing process by now – it’s time to try it for yourself. 

Luckily, trying Colossyan is completely free – you won’t even need to enter a credit card. Sign up and get started with content repurposing today. 

Interested in learning more first? Book a demo with our team of experts to learn more.

Future proofing your organization’s learning and development strategy has become one of the most important conversations I have with leaders today. The rapid pace of technological change, shifting workforce dynamics, and economic uncertainty have shown us one thing, we cannot afford to stand still.

As an L&D strategist, I help companies thrive by retaining their people, developing their knowledge base and systems, which leads to long-term growth. In this blog I share some of my experience and ideas, and the role AI plays in making this happen.

What future proofing really means

For me, future proofing isn’t just about chasing the latest trends or technologies. It’s about designing a resilient L&D framework that aligns with long-term business goals and remains flexible enough to adapt to the needs of tomorrow. It’s about balancing the immediate needs of today with an intentional focus on what skills, strategies, and structures we’ll need tomorrow. A successful strategy should be agile, scalable, and deeply aligned with organizational goals.

I define future proofing as creating an L&D strategy that evolves with change, instead of reacting to it. This comes down to three key actions:

1. Proactive skills planning

I’ve seen companies that wait too long to address skill gaps struggle to close them when it’s critical. Regularly assessing emerging trends like AI fluency, green skills, or data literacy and embedding those insights into learning programs helps prevent playing catch-up later. 

For instance, instead of waiting for AI to become a default expectation, some organizations I’ve worked with are already offering foundational and advanced AI training to their teams.

2. Creating adaptable learning frameworks

The age of static, one-size-fits-all training programs is over. I advocate modular learning frameworks that can be updated quickly as priorities shift. 

A great example I’ve seen involves using AI-powered training tools. With AI-driven voice simulation, sales teams can simulate customer calls, adapt their training based on real-time feedback, and close skill gaps without a complete overhaul of their development programs. Sales agents can work on individual skills with just a prompt edit. This kind of agile approach offers immense value.

3. Driving business impact

Future proofing isn’t just a matter of skills; it’s about proving the ROI of L&D. I always encourage leaders to align their learning initiatives directly to business outcomes, whether it’s revenue growth, operational efficiency, or retention. 

L&D only proves its value when it contributes to the organization’s broader goals. With the generational shift in organizations, retention is becoming an increasingly urgent issue, particularly in tech industries.

What I’ve learned over the years is that no one can predict the next big disruption with certainty. But designing a learning strategy that emphasizes resilience, and adaptability allows you to thrive in a world defined by change.

Key trends to prioritize in 2025

Looking ahead, several trends are reshaping the learning and development space. While there are many to choose from, I consider these non-negotiable areas to address:

Lifelong learning over one-time training

The demand for lifelong learning is becoming more evident every day.

One-off training sessions no longer match the pace or depth of development people need. Continuous learning ecosystems, made up of resources and personalized pathways, are increasingly the standard I recommend. Losing good employees to competitors signals a need to reevaluate how the organization develops talent.

Inclusive learning experiences

While AI’s growing role in L&D has undeniable benefits, we can’t ignore its challenges. AI often reflects the biases of its creators – for example, only 12% of AI researchers are women. I encourage organizations to pair AI solutions with diverse content creators who can audit these systems and provide content that reflects varied perspectives. Only by being deliberate here can we ensure fairness across learning initiatives.

Rethinking remote and hybrid models

The hybrid model is evolving, and I’ve observed a shift toward structured, in-person multi-team meetups designed to complement day-to-day remote work. 

Instead of forcing everyone into the office for scattered meetings, some leaders are finding value in quarterly gatherings focused on brainstorming, networking, and building team synergy. These kinds of formats are proving to enhance collaboration and innovation without compromising flexibility.

Integration of AI video production

AI is changing video production in powerful ways. Tools like Colossyan enable the rapid creation of multilingual training videos, complete with customizable avatars and instant voiceovers. 

The ability to scale and localize content in this way is unmatched, particularly in global organizations that need consistency across diverse markets. I see these tools playing a central role in the future of learning delivery, enabling L&D to achieve more with fewer resources.

Measuring success in future proofing

One of the most important shifts I’ve emphasized to L&D teams is tying learning outcomes to business metrics. Whether it’s improving customer satisfaction, boosting productivity, or enhancing performance reviews, the value of L&D must be tied to results. 

Technology, particularly AI, has made this easier by providing tools to track the impact of learning programs in real time. Without consistent evaluation and adjustment, even the most innovative strategies are in danger of falling flat.

A call to action

I believe the future of L&D isn’t about racing to keep up, it’s about shaping what’s next. By focusing on skills planning, adapting to trends, and grounding everything back in measurable outcomes, you have a real opportunity to build something lasting. 

It’s about more than addressing the next wave of technology or market change. It’s about offering meaningful experiences that empower employees to play an active role in their development and to thrive in your organization.

Now is the time for a proactive approach. The organizations that use this moment to future-proof their strategies will not only survive, but they’ll also set the standard. The question is, are you ready to lead the way and shape the future for your organization?

Did you know that viewers retain 95% of a message when they watch it on video, compared to just 10% when reading it in a text? 

But here’s the catch: Creating impactful video content requires more than just hitting the record button. 

To create content that truly resonates, you’ll need a deeper understanding of your audience’s behavior, preferences, and engagement patterns – insights that only video analytics can provide. 

In this blog, we’ll dive deeper into the type of video analytics to track, how to set up a solid video analytics framework, and finally, a closer look at one of the best tools to create and measure video success. 

What are video analytics?

Video analytics are data-driven insights that help content creators understand how viewers engage with their video content. 

This video data helps track and and measure various aspects of viewer behavior, from basic metrics like views and watch time to more complex data points such as audience retention patterns, interaction rates, and viewer demographics. 

By collecting and analyzing this data, creators can optimize their videos for better engagement and measure the return on investment of their video initiatives. Video analytics serve as a feedback loop, providing concrete evidence of what works, what doesn't, and where improvements can be made in video content strategy.

3 key types of video metrics to consider tracking

There are many different types of video analytics out there that you might consider tracking. 

Basic performance metrics like video views help quantify the reach of your content, whereas interaction metrics like click-through rates help you understand whether your content caused viewers to take action. 

All types of video metrics typically boil down to three categories – engagement metrics, interaction metrics, and performance metrics. 

Performance analytics tell you about your content’s reach, engagement metrics showcase how well you’re holding attention, and interaction metrics indicate how effectively your content is driving action. 

Below, we’ve broken down everything to know about the three main types of video analytics. 

Engagement metrics 

Engagement metrics measure how viewers interact with your video over time. This includes watch time, retention rates, and drop-off points. 

In other words, think of your engagement metrics as indicators of how “sticky” your content is – whether people stay to watch it or leave quickly. If you’re seeing a high drop-off rate within 10 seconds of your video, you’ll want to consider optimizing your intro for better engagement. 

Examples of engagment metrics: 

• Average view duration: The average amount of time viewers spend watching your video. For a 5-minute video, an average view duration of 3 minutes indicates solid engagement.
• Retention rate: The percentage of viewers who continue watching at any given moment. For example, a 70% retention rate at the 2-minute mark means 70% of initial viewers are still watching.
• Drop-off points: Specific timestamps where viewers stop watching. High drop-offs at 0:30 might indicate an ineffective introduction, for instance.
• Replay rate: How often viewers rewatch specific segments, indicating particularly engaging or complex content.

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Interaction metrics 

Just like its name suggests, your interaction metrics track viewer participation with your content. Not only does this include the likes, shares, and comments your video receives, but also participation in interactive video elements like polls or quizzes. 

Click-through rates (CTRs) are also considered an interaction metric. On YouTube, you might measure your CTR according to the percentage of people who clicked on your video compared to those who saw your video thumbnail. This metric helps YouTube creators determine how effective their videos are in encouraging viewers to watch it. 

Examples of interaction metrics: 

• Click-through rate (CTR): The percentage of viewers who click on calls-to-action or links within the video. A 5% CTR is typically considered good.
• Social shares: The number of times viewers share your video across platforms.
• Quiz participation rate: The percentage of viewers who engage with interactive elements embedded in your video. 
• Like to dislike ratio: Typically measured on YouTube, this is the ratio of positive to negative reactions, showing content reception. Aim for 90%+ positive.

Also read: How to Choose the Right Interactive Video Software

Performance metrics 

Think of your performance metrics as your top-level data that measures audience reach and audience characteristics. These performance metrics track total views, unique viewers, and even more detailed data like your traffic sources and audience demographics. 

Think of your performance metrics as a way to understand who’s watching your content and how they found it, giving you valuable insights into the reach of your content. 

Examples of performance metrics: 

• View count: Total number of times a video has been played, indicating reach.
• Cost per acquisition: Money spent to gain each new viewer or subscriber.
• Brand lift: The measurable increase in brand awareness or perception after deploying a video campaign.
• Conversion rate: The percentage of viewers who take desired actions after watching a video.

Setting up a solid video analytics framework

Video analytics are a powerful tool that can be used to bring your content to new heights. 

But in order to make the most of your video analytics system, you’ll want to have the right framework in place to help you easily assess what’s currently working, your goals for improvement, and the video analytics software tools you might need to get there. 

Here’s how we recommend getting started with a video analytics framework:

Establish baseline metrics 

In order to set realistic benchmarks for improving your video performance, it’s crucial to have a strong baseline understanding of how your audience is currently interacting with your content. 

Start by collecting 3-6 months of historical data across key metrics like average view duration, engagement rates, and conversion numbers. 

This baseline data becomes your foundation for measuring growth and identifying areas needing improvement, while accounting for variables like video length, content type, and target audience.

For new channels, you’ll want to research industry standards to assess what’s a realistic goal for your industry and content type. For instance, a 50-60% video completion rate is a good benchmark for educational content. 

Set measurable goals

Now that you have a baseline understanding of your typical video performance, you’ll want to set video analytics goals to meaningfully improve your content performance.

To ensure your goals are both relevant and measurable, they should follow the SMART framework: Specific, Measurable, Achievable, Relevant, and Time-bound. 

Instead of vague objectives like "increase engagement," set concrete targets such as "achieve 65% completion rate on training videos within three months" or "increase quiz participation rates by 25% this quarter." 

Your goals should align with broader business objectives – whether that's improving learning outcomes, boosting product awareness, or increasing conversions. Tracking this progress regularly will allow you to iterate strategies as needed. 

Choose the right video analytics software

Choosing the right video analytics platform requires you to balance your specific needs with available features and budget. 

Although platform-native analytics like YouTube Studio will provide you with basic metrics for free, third-party tools will offer far more comprehensive insights. 

That said, you want a video analytics solution that integrates neatly within your existing tech stack. Colossyan distinguishes itself by offering a video analytics suite and video creator all within the same platform, making it well-suited for creating effective training content.

Meet Colossyan’s comprehensive analytics dashboard

Colossyan is an AI video platform that helps teams create engaging and interactive videos, leveraging AI avatars and text-to-speech voiceovers to speed up the content production process. 

But not only can you create artificial intelligence videos in minutes with Colossyan, you can also track the performance of those videos with Colossyan’s real-time video analytics dashboard. 

This dashboard provides an overview of your video views, the average time spent watching the video, and – if your video includes interactive multiple-choice quizzes – the average video score. 

Colossyan’s AI-powered video analytics feature also provides a detailed breakdown of each viewer’s analytics, including how much time they spent watching the video and when they watched it. These views are organized by name for each Colossyan user who engaged with the content – providing additional visibility into team engagement.  

This video analytics data is available on all Colossyan enterprise plans, giving you easy access to these insights on the same platform you used to create your content. 

Interested in trying it out? Book a demo to get started. 

Using video analytics to optimize your content 

At the end of the day, the video analytics that are most worth tracking for your team depend on the metrics you care about most. This also determines how you approach optimizing your videos. 

For a video marketing campaign, measuring engagement metrics like reach and conversion rates might be top priorities for your team in order to properly measure the ROI of your campaign. 

Highly engaging thumbnails and proper distribution of your videos on sites like YouTube are key in helping with brand awareness and getting the word out about your campaign. A/B testing is another great strategy to see which small changes to your video title can have the largest impact on engagement rates and the like. 

However, if you’re creating training videos or other educational content, you’re likely looking more at how the material is resonating with audiences, such as through your interaction metrics capturing your average watch time, retention rate, or quiz scores. 

A low average watch time might mean that your viewers don’t feel properly immersed in the content. One way to combat this is by adding interactive branching scenarios into your videos to offer a choose-your-own-adventure type of viewing experience. 

By immersing your viewers in the scenario and allowing them to make decisions on what to do next, you can ensure they stay engaged for longer, instead of passively consuming the content. 

Embedding multiple-choice quizzes is another great way to make your videos more engaging for your viewers, as the results can also help capture audience understanding. If part of your video is garnering poor quiz results, then you may want to consider editing your video for clarity. 

Start tracking your workplace video analytics with Colossyan

Video analytics are just one of many features Colossyan offers to make your videos more interactive and engaging. 

With AI avatars, text-to-speech voiceovers, and the ability to automatically translate your videos to more than 80 languages, Colossyan offers a way to create high-quality, professional video content in a fraction of the time required by traditional video production. 

Here’s how Colossyan works: 

With Colossyan, you can spend more time on the things that matter, and less time worrying about hiring actors or refilming your footage when material changes. 

Instead, when using your video analytics to optimize your Colossyan content, all you need to do is update your video draft and click “regenerate.” Plus, swapping out your AI actors or AI voiceovers is extremely easy, giving you more opportunities for A/B testing to see what has the greatest impact on your video analytics. 

Try Colossyan for free today to create unique and interesting content with the power to improve your video analytics metrics. Get started for free – no credit card required. 

Giving a traditional slides-based presentation can be extremely nerve-wracking. 

What if you forget what you’re going to say? What if your animations fail to appear on screen? What if you end up rambling?

These are all very real risks that come with giving a presentation. Luckily, video presentations give speakers a way to mitigate these risks by recording their presentation ahead of time and delivering it asynchronously. 

The content stays the same – but you can guarantee your audience will have a seamless viewing experience 100% of the time. 

And if you’re worried about maintaining audience engagement while still delivering your presentation in a video format? Look no further. 

In this blog, we’ll cover 6 of the best video presentation software tools – including an option that allows you to create interactive videos in minutes.

What is video presentation software? 

A video presentation software tool is a digital platform that allows users to create, edit, and deliver dynamic presentations that combine various media elements, such as video, audio, text, or images. 

Video presentation tools go beyond traditional slideshow software by offering features like screen recording, webcam capture, AI-powered avatar creation, animation tools, and interactive elements – allowing for the creation of more engaging content. 

These software platforms serve diverse needs across the business, education, and creative industries – from creating training materials and sales pitches to educational content and marketing videos. 

Many of these tools also leverage AI to streamline the content creation process, offering features like text to speech voiceovers, AI avatars, and automatic translations that help presentations reach new audiences with no extra work required. 

Overview of the 6 top video presentation software tools 

Without further ado, let’s dive into the key features and pricing of the 6 best video presentation tools on the market in 2025. 

1. Colossyan 

Nervous about giving a presentation, or don’t have the time to deliver your presentation live? 

Look no further than AI avatars – human-like digital presenters – that can be paired with any script to ensure your presentation is engaging. Plus, AI avatars can speak more than 80 languages, allowing you to easily deliver presentations in nearly any language. 

Colossyan is an AI video platform that helps you do just that. With more than 150 diverse AI avatars to choose from, an easy scene-based video editing interface, and the ability to transform your existing PowerPoints into videos, Colossyan allows you to create polished video presentations in minutes. 

Simply add your script to Colossyan, choose your AI avatar, and allow them to do all of the talking. You’ll also be able to edit your video to ensure it aligns with your company brand kit, and features relevant on-screen text or images. 

Here’s a bit more on how it works: 

Key features

• 150+ avatars: Colossyan’s diverse library of avatars ensures your AI presenters perfectly match your material. 
• Document to video: Simply upload a file and Colossyan will transform any document, including PowerPoints, into a video draft – complete with AI avatars and narration – in under 60 seconds. 
• Screen recorder: Record your screen directly from Colosyan’s built-in screen recorder to easily embed recordings into your video presentations. 
• Voice cloning: Clone your voice and pair it with any script using Colossyan’s text-to-speech technology. 
• Custom avatars: Create an AI avatar of yourself or another company representative that can narrate your video presentations for you.
• Interactivity: Integrate multiple choice questions into your video presentations to check your audience understanding. 
• Video presentation templates: Colossyan offers dozens of different professionally designed and fully customizable video presentation templates to make the content creation process easier. 
• Animation markers: Add animation markers to ensure seamless transitions throughout your presentations. 
• Media library: Add stock images and background music to your videos directly in Colossyan to help level up your presentations.

Pricing 

Colossyan offers three pricing plans: 

• Starter plan: Start creating videos for as low as $19 per month for 10 minutes of video. This plan includes an AI script assistant, no watermarks, and full video rights. 
• Pro plan: The Pro plan starts at $70 for unlimited minutes of video per month, with the option to add up to three editors. Additional features in this plan include avatar conversations, AI image generation, and multiple export options. 
• Enterprise plan: For companies scaling their video creation, the enterprise plan includes 4K video, SCORM export, a dedicated customer success manager, and more. Contact our sales team for pricing. 

Ready to try Colossyan for free? Get started today with a free trial – no credit card required. 

2. Loom 

Loom is a video communications tool known for its combination of screen recording and webcam footage, making it a good fit for video presentations where the speaker needs to be visible on screen. Plus, the presenter is able to annotate their screen to emphasize important information – a pro when creating video presentations.

Another advantage of Loom is its instant sharing capability – as soon as a recording is complete, users can share it with a simple link, complete with automated transcription and closed captions.

As a video presentation maker, the downside of Loom is that it’s solely a video creation tool – there is no ability to create slide-based presentations within the product. Instead, you’ll need to create your content with another app and then record it with Loom. 

Key features

• Instant screen and webcam recording
• Automated transcription and closed captions
• Team collaboration features with commenting
• Analytics to track viewer engagement
• Integration with major productivity tools

Pricing 

• Business plan: $15 per user/month, billed annually
• Business + AI plan: $20 per user/month, billed annually
• Enterprise plan: Contact for pricing 

3. Prezi Video

As a video presentation software, Prezi’s main advantage is its ability to allow presenters to appear alongside their content in real time, allowing for more dynamic content delivery. 

Prezi may be a good fit for those who are looking for a more creative alternative to the typical presentation, as the tool doesn’t require you to structure your presentation in the traditionally linear way. Instead, information can flow more conversationally. 

The downside of Prezi is its learning curve. Non-linear presentations can be tricky to create, especially for beginners. 

Key features

• Real-time presentation overlay effects
• Dynamic content positioning
• Live streaming capabilities
• Integration with major video conferencing platforms
• Mobile-friendly presentation creation

Pricing 

• Plus plan: $19 per user/month, billed annually 
• Premium plan: $29 per month, billed annually 
• Teams plan: $39 per user/month, billed annually

4. Pitch 

Pitch is a next generation presentation software with an AI-powered presentation studio that helps users create professional-looking presentations quickly, while still maintaining brand alignment and consistency. 

The platform's built-in recording studio integrates with its presentation features, allowing teams to create, collaborate on, and record presentations all within the same ecosystem, making it a solid video presentation maker. 

Additionally, its version control and real-time collaboration capabilities make it particularly valuable for team-based presentation work, while its analytics tools provide meaningful insights into presentation performance.

Related: How to Turn an Article to Video in Less Than 5 Minutes

Key features

• Real-time team collaboration capabilities
• AI-powered presentation templates and suggestions
• Built-in recording studio for video presentations
• Live and asynchronous presentation modes

Pricing 

• Pro plan: $25 per month for 2 editors, extra editors at $19 per user/month
• Business plan: $100 per month for 5 editors, extra editors at $25 per user/month 

5. Canva 

Although Canva is primarily known as a graphic design tool, the platform also offers a drag-and-drop video editing software that can be used for making video presentations. 

In addition to its drag-and-drop interface, its vast library of templates help even those with no video creation experience to create polished video results. It also offers a rich library of stock media in addition to real-time collaboration capabilities – features highly desired by many teams. 

Key features

• Drag-and-drop video editor interface
• Extensive template library for various video types
• Built-in stock media library (photos, videos, music)
• Video resizing for different platforms 

Pricing 

• Canva Pro: $15 per user/month 
• Canva Teams: $30 per month, includes 3 users 
• Canva Enterprise: Contact for pricing 

6. Vyond 

Vyond may be a good video presentation software choice for organizations looking to create character-based presentations and animated video clips. 

With Vyond’s sophisticated character animation system, users can create custom characters with realistic movements and lip-synced dialogue. And with pre-built templates, users can save a decent amount of time during the video drafting process. 

Additionally, Vyond offers timeline-view editing and collaboration capabilities, making it a great fit for those creating complex animated presentations without extensive animation expertise. 

Also read: The 12 Best AI Video Generators of 2025 (Complete Review)

Key features

• Custom character builder 
• Rich library of props and backgrounds
• Collaboration and team management features
• Export in multiple formats and resolutions

Pricing 

• Essential plan: $49 per month for one user 
• Premium plan: $89 per month for one user 
• Professional plan: $179 per user/month 
• Enterprise plan: $1500, billed annually
• Agency plan: Contact for pricing 

Create your first video presentation for free

There you have it, that’s our complete list of the best video presentation software in 2025. 

Ultimately, there are several great presentation tools on the market, but the one that works best for you will depend on the nature of your presentation video and the features you’re looking for. 

If you’re looking for a simple screen recording, then Loom might do the trick. But if you’re looking to pair screen recordings with an AI avatar hosted video – all built through your web browser – then you’ll want to try Colossyan. 

Colossyan can transform your existing documents into video presentations in seconds. And with a text-to-speech AI presenter, you’ll never have to worry about mistakes or mispronunciations during your video presentations. Simply hit play for a perfect delivery every time. 

The best part about Colossyan? Getting started is completely free – you don’t even need to enter a credit card. Create your first video presentation for free today or book a demo to learn more.

Let’s face it – although written documentation may contain a lot of important information, it’s not the best medium for holding your audience’s attention. 

Instead, video presents a way for your audience to absorb information through audio and visual cues in a more engaging manner. 

Fortunately, with the growing availability of text to video AI tools, it’s never been easier or faster to turn your existing documents into polished and professional videos. 

Article to video converters have already become an extremely useful tool for educators, content creators, and marketing managers looking to use existing content to expand their reach to new audiences. 

In this article, we’ll walk you through the process of converting text-based documents into high-quality videos using AI. Whether you’re looking to turn a blog post into a YouTube short or create visually engaging explainer video clips from your onboarding or training documentation, text-to-video can help expand your reach through new channels. 

Why convert articles into videos?

Content repurposing saves you a significant amount of time during the video creation process, as it allows you to create several different assets on the same information, without having to start from scratch every time. 

As long as you have a written document ready – whether it’s a blog post or a lengthy text-heavy report – you can turn it into a video in minutes without the need for a videographer or any filming equipment. 

But why turn your articles into videos in the first place? Let’s take a look at some of the main benefits. 

Enhanced engagement 

Pages and pages of dense text can be rather boring for readers. Instead, video can keep the learning process more active by increasing audience engagement. 

In fact, studies have shown that narrated videos lead to higher learning performance than printed texts. Videos also allow you to explain complex topics in a more dynamic, illustrative manner. Using features like overlays, animations, text highlights, and more, AI tools for video creation – like Colossyan – can convert your article text into easy-to-follow videos.

More convenient 

Video content is often more convenient for your audience, allowing them to consume the content on the go, or receive a summary of the information without having to read a long document. 

Video content may also be accessible through more channels than text-based documents, as videos can more easily be distributed on social media platforms like YouTube. Plus, translating videos is significantly easier than translating text documents, and subtitles also provide accessibility benefits. 

Better storytelling

It’s easier to create an emotional connection with your audience through high-quality videos than text-based content alone. 

The combination of visuals, voiceovers, and the body language of your video presenter can present a more holistic storytelling experience, making it easier to convey complex ideas that resonate more deeply. The personal connection created by video content is significantly more likely to drive a desired action than a static document.

How to turn convert an article to video in 4 easy steps

Advancements in AI video mean you don’t need any fancy equipment or technical skills to turn an article to video in just a few clicks. 

Colossyan is an AI video generator capable of transforming a text document into a video instantly. The platform offers AI avatars who can serve as your video host alongside any script (without ever needing to be recorded), more than 600 different AI voice options, and support for more than 80 languages. 

As long as you have a piece of text-based material, you can create stunning videos in no time using Colossyan.

Here’s more on how it works: 

Step 1: Upload your document to Colossyan

Believe it or not, Colossyan’s document-to-video feature can convert your static text documents into dynamic and engaging videos with little to no editing required on your end. 

To use the document to video feature, log into Colossyan (or create an account – it’s completely free to sign up) and navigate to the "AI video creator" button on the top of your dashboard. 

Here is where you'll upload your document. Colossyan accepts docx, txt, pdf, and pptx files with a maximum upload size of 20MB. You also have the option of adding additional instructions or parameters for your AI video, including clarifying specific things you want the video to include.

On the right side of the AI video creator pop-up, you can specify your desired video duration, or choose whether you want your AI video draft to include branching scenarios or quizzes. if you choose to add these interactive options, Colossyan's AI will scrape your document and create quiz questions and branching scenarios based on your information, which you can edit later on.

Pro tip: If you wish to turn your file into a video as is without any help from Colossyan's AI video creator, then you'll want to click "Import" on Colossyan's top menu bar instead of navigating through the AI video creator workflow. The import feature is most commonly used for PowerPoint uploads.

Step 2: Convert your article to video

Now that you've uploaded your document and provided some details on what you're looking for, it's time to choose what you want your video draft to look like. To do this, you'll need to select a template.

This is what the template selection process looks like:

Concerned that these templates don't quite fit your company branding? Don't worry!

Once you've picked a template, you'll be able to apply a brand kit to it, meaning you can customize it with your company's logos, colors, fonts, and more. Colossyan's brand kit feature means your customizations will be automatically applied to your entire video.

Step 3: Edit your video draft

Once you have your video draft in Colossyan, it’s time to make your video your own. 

Although Colossyan has added the key pieces of information from your document to the draft, you’re free to customize it to your liking. 

Plus, Colossyan’s video editing suite allows you to add background music, animations, images, and more to ensure your video feels properly engaging for your audience. You can also add your company’s brand kit – if you haven't already done so – to ensure that the video template is properly customized to your brand colors and fonts.

You can also create several different multilingual versions of your video in just a few clicks. Colossyan can automatically translate videos to more than 80 languages instantly, and your subtitles and avatar dialogue will also automatically be updated when you translate the video. 

No need to record new voiceovers or new video footage – the translation process happens instantly. 

Step 4: Generate and share your video 

After you’ve put all of the last finishing touches on your video, the last step is to generate it. Clicking “Generate” will bring your avatar to life with accurate lipsync according to your script. 

After your video is finished generating, it’s ready to be shared! Post it as a YouTube video on social media, embed it, or simply send it out as a shareable link. 

Take advantage of Colossyan’s free trial and convert your first article to video here – no credit card required. 

Top tips for using an article to video AI converter

If you’re new to using an AI article to video converter, there’s no need to stress. 

AI video platforms like Colossyan are extremely user friendly and easy to use. In fact, there are no video editing skills required. 

That said, here are some tips to keep in mind when converting an article to video: 

Keep your videos easily digestible 

Your document might be 100 pages long, but an hour long video isn’t going to be an effective way to retain your audience’s attention. 

To maximize your viewers’ attention span, it’s important to create videos that are short and focused. Instead of tackling your entire document in a single video, this might mean creating a series of shorter videos that address specific sections or topics. 

Also try to keep your videos centered around the main takeaway you want to leave the audience with. Including too much extra information into a short video can distract from your main message. 

Foster active learning with interactivity

Interactive video features – like multiple choice quiz questions and branching scenarios – are great tools to leverage when creating engaging videos.

Colossyan allows you to add quiz questions during the article to video conversion process, which helps simplify the creation of interactive learning content. 

But not only are these features helpful in keeping the learning process active, but Colossyan’s video analytics feature also gives you insight into how well your audience is understanding the material. 

This way, you can optimize your content based on the parts of the video that are proving more difficult for the audience to understand. Ultimately, this will help you create videos that truly resonate.

Don’t forget to personalize your content 

Using AI avatars doesn’t have to mean that your content will feel impersonal or dry. Instead, there are several things you can do to personalize your content for your audience. 

For instance, incorporating company branding and logos can add some familiarity and uniformity to your content. And with a wide range of AI voices to choose from, you can customize the accents and dialects of your avatars based on your audience’s location. 

And to make your content even more recognizable, leveraging custom AI avatars of your company leadership – and even cloning their voices for use in videos – are great personalization strategies. 

Turn your articles into videos with Colossyan

Creating engaging videos doesn’t have to be difficult or time consuming. And with Colossyan’s document to video feature, you can speed up the video creation process by converting existing articles into videos. 

Colossyan doesn’t require any video editing experience, filming equipment, or actors. You can create videos completely within our web-based platform in minutes, choosing from a wide range of AI actors, voices, and languages. 

The best part? Trying Colossyan is completely free with no strings attached. Convert your first article to video today right here.

The world of learning and development is undergoing a seismic shift. Organizations today are not just teaching skills – they’re evolving into dynamic hubs of talent transformation. 

At the heart of this revolution lies artificial intelligence (AI), tools with the power to redefine how we identify, scale, and cultivate human capabilities.

My experience as the Head of Talent Development at Leyton, a global consultancy firm, has positioned me at the intersection of this change. By leveraging AI, not as a mere tech solution but as a strategic partner, I’ve gained insights into how businesses can balance digital innovation with human-centric practices to drive sustainable growth. 

Here’s what the future of L&D looks like and what we, as L&D leaders, can do to shape it.

Rethinking the challenges of skill adoption

The modern workforce is diverse, distributed, and driven by rapidly changing business landscapes. Standardized approaches like classroom training and traditional coaching methods can no longer adapt to these realities. 

Consider client retention – a critical metric for organizational success. Skills critical for nurturing client relationships vary in nuance and application. Yet, scaling these skills across a wide workforce often turns into a logistical nightmare, leaving organizations with a skills gap that directly impacts outcomes.

What I’ve learned is that to bridge this divide, we need more than just new tools – we need a new way of thinking. AI offers that transformative lens, enabling us to reimagine challenges and uncover possibilities that were once beyond our reach.

Strategic lessons from human-centric AI integration

If we consider AI adoption in the context of L&D, the success lies not in the technology itself, but in the approach. 

AI simply amplifies our ability to analyze, adapt, and act with speed and precision. However, it’s the human touch that determines whether technology empowers or alienates.

1. Start with clear intentions

Any AI-driven initiative must begin with a crystal-clear alignment between technology and organizational goals. 

For us, the focus was on improving client retention, a measurable metric tied directly to skill mastery in specific, high-stakes client interactions. 

By rooting AI within this goal, we proposed using Allego, an AI-powered sales enablement platform, to secure buy-in from leadership and ensure that our efforts were aligned with broader business strategies.

2. Put people first

While implementing AI, it’s easy to forget the very people it aims to serve. Our approach emphasized mapping out the employee experience, focusing on the moments that mattered most. 

By creating a skills framework around key client interactions – and identifying the six or eight most essential skills for success – we ensured AI didn’t generalize employee potential but instead tailored its insights to specific, actionable outcomes, such as visibility, accuracy and speed.

3. Design infrastructure with agility in mind

Adapting organizational systems is often the most overlooked aspect of AI integration. 

But in an age where data can guide decision-making at an unprecedented scale, creating robust yet flexible competency frameworks, leadership models, and HR policies is non-negotiable. Transparency, clarity, and ethical data practices are foundational – not just for trust, but for innovation.

Innovation at the intersection of data and development

One of the game-changing realizations in this process was discovering how AI could analyze real-time employee actions – like live client conversations at scale. 

We used Einstein, part of the Salesforce platform. By programming Allego and Einstein to flag keywords, tonal patterns, and other behavioral indicators, we moved beyond abstract concepts of skill development to precise, data-driven metrics.

This real-time feedback allowed us to identify skill gaps objectively, personalize coaching interventions, and track improvements in ways that were impossible before. What emerged was a clearer picture of where skills were thriving and where they needed nurturing. 

But more importantly, it reframed coaching itself. By using an AI communications tool, we no longer needed to rely on generalized programs; instead, every employee received an individualized roadmap to their growth, built on actionable insights that respected their unique context.

The results

We saw tangible results:

• 20.4% Improvement in the quality of client introductions 
• 14% Uplift in closing on cold sales calls
• 23% Improvement in on handover

Ultimately, we saw 81% of the desired skills and behaviors being displayed in 82% of client interactions.

The broader implications of AI for L&D

The true power of AI lies not just in its efficiency, but in its ability to reorient how we think about learning itself. Here’s how I see its impact unfolding across the industry:

• From skill building to skill ecosystems: AI enables a shift from teaching isolated competencies to creating interconnected skill ecosystems, where each piece contributes to sustainable performance.
• Data as the new mentor: Analytics will soon outpace anecdotal insights in shaping L&D strategies, granting leaders unparalleled clarity in measuring ROI, employee engagement, and long-term growth.
• Democratizing upskilling: By personalizing learning journeys, we can empower talent on every level of the organization – not just the leadership tier.

Preparing for what’s next

Yet, as with any disruptive change, the ethical implications demand our focus. How organizations collect, process, and apply AI-driven insights matters. Employees need to feel seen, not surveyed. And as AI evolves, so too must the competency frameworks, ensuring that the human side of learning remains as prioritized as the technology driving it.

Ultimately, we’re entering a future where L&D leaders are no longer just skill architects – they are cultural stewards, data interpreters, and catalysts for innovation. 

The work I’ve led with AI is just one example of what’s possible. What excites me most is imagining how we, as a collective industry, can amplify these lessons across organizations worldwide.

The future of learning isn’t about replacing people with tools – it’s about elevating everything people can do with the tools we create. For those of us in the driving seat of L&D, the responsibility and the opportunity are immense. And I, for one, can’t wait to see what happens next.

For leaders looking to explore the symbiosis between AI and L&D, the path begins with intention. Think beyond immediate challenges and consider how innovation can define your organization’s place in an increasingly complex world. AI is merely the enabler; the vision comes from us.

Whether you’re working in education, marketing, sales, or human resources, it’s probably clear to you that AI is making quite a splash right now.

According to a recent G2 report, more than 76% of software vendors have either already implemented or are in the process of implementing AI.

We’ve already seen some impressive use cases develop for technical and non-technical users alike. Uizard, for example, helps non-technical users design impressive user interfaces, while companies like Frame are making it much easier to gather and analyze customer behavior and sentiment data. And platforms like our very own Colossyan empower the easy creation of video content using text to video AI. 

So, what’s next for 2025? In this article, we’ll dive into half a dozen cutting-edge AI trends that we expect to hear more about as we move through 2025 and beyond. 

6 key AI trends to keep an eye on

Between the push to regulate AI and efforts to expand the accessibility of new tools, there’s a lot going on in the AI space as we head into 2025. 

Here’s some insight into the AI trends we expect to see.

1. Generative AI

Have you used AI to write text, create images, or even to code? If the answer’s yes, then you’ve already familiar with the capabilities of generative AI. 

Generative AI refers to a class of artificial intelligence systems capable of creating new content by learning the patterns and structures of an existing data set. Advanced models – such as large language models like ChatGPT – are able to generate original outputs based on input prompts or training. Generative AI doesn’t just replicate data – it creates new content from scratch. 

This differs from predictive AI, which is typically used in social media algorithms to make predictions using existing data. In contrast, generative AI is much newer, and creates all new content rather than making predictions. 

People across the world are already using generative AI to streamline workplace tasks like writing and editing copy, structuring new content, and brainstorming new ideas. In 2025, we’re likely to see adoption of generative AI tools continue to grow as the technology improves. 

There are many different use cases and generative AI tools out there, but here are a few examples of generative AI that you might encounter: 

AI-generated text 

Producing AI-generated text is extremely straightforward. Using a large language model like ChatGPT or Claude, all you need to do is simply prompt the model with the text you’re looking for. 

For example, you might write a prompt like: “Write me a definition of generative AI in one paragraph.”

In seconds, the LLM will deliver a response within the parameters you gave. In 2025, we can expect to see the quality and accuracy of AI-generated text continue to improve. 

AI-generated video 

Historically, creating a video has been extremely resource intensive. But with AI video, you can now convert text to video in minutes. 

AI video generators like Colossyan allow you to produce professional-quality videos using AI avatars that can speak any script in any language or accent. This way, you can skip the filming process and create high-quality content in minutes without actors or equipment. 

To create a video in Colossyan, all you need to do is add a simple prompt on what you want your video to be about, and the platform’s AI will convert your idea into a video draft. From there, you can edit it to your liking, before generating the final result. 

AI-generated speech

With advancements in generative AI, there’s no need to manually record voiceovers anymore. Instead, AI voices allow you to turn any text into an AI voiceover. Not only is AI-generated speech faster than traditional voiceovers, but you can also pair them with any language, accent, and emotion. 

2. Multimodal AI

Multimodal AI models integrate multiple types of data – including text, images, video, and audio – to create more sophisticated outcomes, allowing for more comprehensive user experiences. 

Traditionally, AI models process information from a single modality, such as text or images, which comes with limitations. 

Instead, because multimodal AI models synthesize diverse data, it can grasp more complex contexts, such as interpreting spoken words alongside facial expressions, which traditional AI cannot do. 

So, why is multimodality a trend to watch in 2025? 

For starters, continued advancements allow the models to combine data sets for richer and more contextualized responses – not only improving the user experience, but also increasing the use cases for these AI models. Applications like virtual assistants are made possible by multimodal models. 

For example, there are already many AI tools in the healthcare industry working to improve diagnostic accuracy and patient care. But with advancements in multimodality, AI might have the capacity to analyze medical imaging, patient records, and physician notes for more accurate diagnoses, rather than relying on a single data set. 

Multimodal AI models will make AI systems significantly more accurate and contextualized, making them more useful across nearly every industry. 

3. AI-driven personalization

AI's ability to analyze vast amounts of data in real time allows for individualized experiences on a massive scale, paving the way for heightened user engagement with content. 

The power of personalized content is already evident with TikTok, as the social media app’s global popularity is tied to its personalized recommendations algorithm. 

Personalization is a powerful tool with the ability to boost viewer engagement, add greater value to viewing experiences, and forge stronger connections with the content being consumed. 

As AI models get better at analyzing user behavior and predicting needs, companies will have greater capacity to scale the personalization of their sales, marketing, and training content, while still ensuring the content is appropriately relevant. 

In a learning and development context, training modules may be able to be automatically adjusted to user progress and feedback, or even specifically tailored to each learner’s role and skills gaps.

In 2025, we can expect advancements in natural language processing, behavioral analysis, and AI avatar realism to drive this focus on personalized content development. 

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4. Democratization of AI

As more AI tools become available, the availability of these tools continues to widen as the cost decreases. 

Consider how ChatGPT – perhaps the most well-known generative AI tool – took just 2 months to reach 100 million users after it launched in November 2022. 

This was a milestone in widespread AI adoption, as ChatGPT showed AI’s potential to millions across the globe, and allowed them to access this technology under a free plan. 

In the time since, many AI solutions have followed suit and now offer free access as well as a user experience that’s easy for even the least techie people. 

We should expect to see this democratization of AI tools continue to expand in 2025, as open-source AI models and low-code/no-code platforms help more non-technical people build and deploy AI solutions. 

Additionally, as an increasing number of office workers continue to use generative AI in their day-to-day work, more organizations and government departments are pushing for AI literacy to ensure more equitable access and adoption. 

Related: The 11 Best AI Tools to Boost Your Business

5. AI agents 

In the last year or so, you’ve likely interacted with an AI chatbot. AI chatbots are everywhere, whether you’re chasing down a customer service request or messaging with a sales representative. 

However, historically these AI chatbots have been faceless, only communicating via written text rather than spoken dialogue. This is poised to change in 2025 due to advancements in AI agents, which are AI avatars that look and sound like real humans, and are capable of real-time interactions. 

The next generation of AI chatbots will be conversational AI agents, which will pave the way for the next generation of interactive experiences more broadly. These conversational AI experiences will feel significantly more human and personalized than text-only chatbots. 

Real-time, natural conversations with avatars are becoming highly feasible due to advancements in large language models (LLMs) and speech synthesis. Real-time avatar conversations require both active listening and contextual understanding, which we’ll almost certainly see in 2025.

But although this technology is still in its early stages, the potential applications aren’t difficult to imagine. There will be significant applications for AI agents in content creation, customer engagement, multimodal analysis, and more. 

These conversational AI agents would have especially huge applications in the education space, as they will allow learning designers to develop learning experiences that go beyond static video creation. Instead, each learner will have their own personal tutor that they can ask questions to and get personalized feedback from. 

Also read: How to Make an AI Avatar of Yourself in 5 Easy Steps

6. AI regulation and ethics

Currently, the rapid deployment of new AI technologies has outpaced the creation of comprehensive legal and ethical frameworks for their regulation. 

While we’ll certainly see conversations around regulations and governance start to catch up in 2025, we will also begin to see the implementation of the EU AI Act – a comprehensive legal framework that aims to ensure that AI systems are trustworthy, ethical, and safe, without stifling innovation. 

However, it’s likely that these regulations may initially slow the adoption of artificial intelligence tools in high-risk settings – like education or high-risk communications – as companies adapt to these new frameworks. 

That said, these regulations are a welcome step toward responsible AI development. AI models are extremely powerful tools, and regulations are crucial in ensuring bad actors are not using this technology to spread misinformation, invade privacy, or perpetuate bias, for instance. 

Over the long term, these clearer regulatory frameworks will boost confidence, reduce uncertainty, and encourage greater investment in AI technologies, ultimately promoting safer and more reliable AI deployment. 

Takeaway

The takeaway here? AI is developing at an incredibly rapid pace, and there’s a ton in store for the upcoming year. 

In 2025, we will see the AI tools we’ve come to know and love continue to expand in their use cases and capabilities, allowing us to use AI in entirely new ways. 

The development of AI agents, for instance, will revolutionize personalized learning, giving anyone and everyone access to their very own always-on tutor. Or, in a non-learning setting, these conversational avatars can serve as a talking knowledge base, helping customer support agents answer customer questions more accurately and efficiently, without the need for human intervention. 

At the same time, we can expect to see larger discussions on AI regulations and ethics take center stage, as the industry – and the world at large – figures out exactly what responsible AI use looks like in practice. 

In the meantime, if you’re curious to understand how generative AI is changing video production, come see for yourself and give Colossyan a try for free today. No credit card required.

You might’ve heard of Elai.io – an AI video generator that helps teams create personalized videos from simple text inputs. 

Elai has gained prominence as an AI video editing tool built specifically for the needs of corporate learning teams, allowing companies to create professional looking videos in a fraction of the time and cost required of traditional video production. 

However, some teams prefer a different AI video tool over Elai. There are many great AI video platforms out there, and you might find that an Elai alternative is better suited to your needs or specific feature requirements. 

In this blog, we’ll provide a complete overview of the pros and cons of Elai.io, as well as deep dive into the top Elai.io alternatives on the market in 2025. 

Why look for an Elai.io alternative? 

Elai is a Ukrainian AI video generator, offering a complete set of AI avatar features tailored to the needs of corporate learning teams. 

The platform offers many features that are considered standard in the AI video generation space, such as video templates, automatic translations, and prompt-to-video capabilities. They’ve also recently rolled out more interactive features like multiple-choice quizzes. 

Whether Elai is the right tool for your team might depend on your preference for avatar quality, platform speed, and the level of onboarding support your team requires. 

Let’s take a closer look at Elai’s pros and cons: 

Elai pros 

• Presentation to video workflow 
• URL to video workflow
• GPT-powered script assistant 
• Professional video templates

Elai cons

• Expensive selfie avatar pricing
• No screen recording capabilities 
• Lacks avatar gesturing 
• Doesn’t offer collaboration features 
• Stock AI avatar library is limited 

The 5 top Elai.io alternatives to check out 

Elai.io is certainly a solid AI video solution. However, if you’re looking for a high-powered tool with more stock avatar options and easier custom avatar creation abilities, you may want to look into Elai alternatives. 

Fortunately, we’ve compiled a list of the 5 best Elai.io competitors you’ll want to consider when evaluating your options for the best AI video generator. 

1. Colossyan

‍Colossyan is the leading AI video platform that allows teams to turn text into engaging videos complete with AI avatars and voice overs.

Similar to Elai, Colossyan was built with the needs of workplace learning teams in mind. In addition to offering a diverse library of 150+ AI avatars, Colossyan also offers SCORM export, multiple-choice quizzes, and branching scenarios – all of which help to make learning content more active and engaging. 

But another one of the ways Colossyan stands out against Elai is with its Instant Avatar feature – allowing you to create a custom AI avatar of yourself in minutes, directly from your cell phone. Unlike Elai’s selfie avatars, Colossyan’s instant avatars are free to create, and the feature can also be used on animated images. 

Millions of videos have been created with Colossyan, and the platform helps thousands of industry leaders create professional video content at scale, including Paramount, Novartis, Vodafone, and more. 

Here’s a closer look at how Colossyan works: 

Key features 

• 200+ avatars: Easily ensure your presenters perfectly match your material. 
• Custom avatars and voice cloning: Enhance the personalization of your videos with custom avatars, created in studio or at home. 
• Branching: Create engaging “choose your own adventure” style scenario-based training videos. 
• Multiple-choice questions: Add knowledge check questions to your videos to check your audience understanding. 
• Video analytics: Check your views, average watch time, and quiz results to ensure your videos are resonating with your audience. 
• Document to video: Simply upload a file and Colossyan will turn any document into a video draft – complete with AI avatars and narration – in under 60 seconds. 
• SCORM export: Utilize your Colossyan videos on an eLearning platform by exporting them as a SCORM file. 

Potential drawbacks 

• Music library: Colossyan has fewer music options, but we're working on improving this by exploring new providers.

Pricing

Colossyan’s pricing include both self-serve and enterprise-level plans: 

• Starter plan: Start creating videos for as low as $19 per month for 10 minutes of video. This plan includes an AI script assistant, no watermarks, and full video rights. 
• Business plan: Starting at $70 for unlimited minutes and videos, Colossyan’s business plan includes 45 instant avatars and 9 voice clones. Add up to 3 editors on the business plan. 
• Enterprise plan: For companies scaling their video creation, the enterprise plan includes 4K video, SCORM export, a dedicated customer success manager, and more. Contact our sales team for pricing. 

2. HeyGen

HeyGen is a very popular AI video platform used for product demos, scaled outreach, and learning and development. In terms of Elai.io alternatives, many of HeyGen’s feature offerings are similar, including custom avatars, automatic translations, and a library of ready-to-use stock avatars. 

However, HeyGen is slightly more focused on marketing content creation rather than learning-specific content. If you’re looking for an Elai alternative that’s more learning-centered, then Colossyan is the one to check out. 

Also read: HeyGen vs. Colossyan

Key features 

• 120+ stock AI avatars 
• Face swapping 
• Photo avatars 
• Multiple video export format options

Limitations 

• Only offers translation to 40 languages 
• Pricy for those creating 30+ minutes of video 
• Lacking customer support, according to some G2 reviews 

Pricing 

• Creator plan: Starts at $29 per month for 15 minutes of video
• Team plan: Starts at $149 per month for 30 minutes of video
• Enterprise plan: Contact for pricing

3. Synthesia 

Synthesia is a popular AI video generator on the market today. Like HeyGen, Synthesia is more focused on mass market video communications, and less so on learning and development. 

As a result, Synthesia lacks many of the features you’d likely want when creating training content, such as branching scenarios, multiple-choice quizzes, or SCORM export. 

But if that isn’t a concern, Synthesia’s robust feature set makes it a reliable AI video generator. You can also create personal custom avatars with the tool, although there’s a longer avatar turnaround time than other Elai.io alternatives like Colossyan. 

Pro tip: Check out our Synthesia vs. Colossyan comparison page to learn more. 

Key features

• Custom AI avatars 
• Video templates
• AI voices 
• Automatic translations

Limitations

• No SCORM export 
• Doesn’t offer avatar gesturing and side-view avatars
• No branching scenarios
• No content library 

Pricing

• Starter plan: $29 per month for 10 minutes of video
• Creator plan: $89 per month for 30 minutes of video 
• Enterprise plan: Custom pricing 

Related: HeyGen vs. Synthesia: 2025 Comparison & Better Alternatives

4. Hour One

Hour One offers a suite of standard features for corporate teams looking for an AI video generation platform, including several different custom avatar workflows, the ability to turn a document into a video, templates, and collaboration tools. 

Hour One’s main use cases include sales, product marketing, and eCommerce, among others. 

A few of Hour One’s features help it stand out from other Elai.io alternatives, including its immersive 3D templates and the ability to dub words into any video – a useful feature for teams looking to bypass AI avatars. 

Key features 

• Custom avatars 
• Ability to turn PDFs and PPTs into videos
• Brand kits
• API integration

Limitations 

• No avatar gesturing 
• Limited to one avatar per scene
• No built-in screen recorder
• Limited video template offerings

Pricing

• Lite plan: Starts at $30 per month for 10 minutes of video 
• Business plan: Starts at $112 per month for 20 minutes of video
• Enterprise plan: Custom pricing 

5. D-ID

D-ID is one of the more versatile Elai.io alternatives on this list, but its overall platform is significantly less comprehensive than some of the top tools in the AI video industry, such as Colossyan or Synthesia. 

For instance, D-ID is more specifically focused on talking head videos that offer realistic avatar movements and lip sync, typically using AI to animate existing photos or generate synthetic human presenters. 

In contrast, tools like Colossyan offer significantly more content creation tools than just human presenter animations. For example, Colossyan offers everything you need to create engaging and interactive training videos with text to speech narration or multi-scene video templates. 

Nonetheless, if you’re looking for a lightweight avatar solution and don’t have complex video editor requirements, then D-ID might be worth exploring. 

Related: Top Picks for the Best AI Avatar Generator Available in 2025

Key features

• Mobile app for animations 
• Photo avatars 
• AI agents 

Limitations 

• No video templates
• Limited video translation capabilities 
• Doesn’t offer custom studio-quality avatars 

Pricing 

• Lite plan: $5.99 for a personal license with watermarked content 
• Pro plan: $29 per month for up to 15 minutes of video
• Advanced plan: $196 per month for up to 100 minutes of video
• Enterprise plan: Custom pricing

How to decide which Elai.io alternative is best for you

There are a lot of great AI video platforms out there that your team can use to scale your professional video creation, whether for training videos, scaled outreach, or even marketing. 

Each of the tools on this Elai.io alternatives list can help you create AI video content without any equipment. However, if you’re looking for the tool with the closest feature set and use cases to Elai, Colossyan is the clear winner. 

Because Colossyan was built for workplace learning and L&D teams, the platform offers an entire suite of interactive features that can keep your learning content engaging and effective. Plus, if you want to use Colossyan in tandem with your preferred learning management system, you can easily do so with Colossyan’s SCORM export capabilities. 

Plus, Colossyan offers other advantages like free instant personal avatars that you can create with just your cell phone, as well as avatar hand gestures and an in-app screen recorder. 

Interested in testing it out? You can try Colossyan completely free, or book a time with our team to learn more.

As we navigate a rapidly evolving digital landscape, learning and development (L&D) professionals find themselves at the intersection of technology, engagement, and education. By 2025, three powerful trends – the evolution of video, microlearning, and AI – are set to redefine how organizations deliver training and drive meaningful outcomes.

These innovations are more than just buzzwords – they’re becoming essential strategies for companies looking to build dynamic, personalized learning ecosystems.

The Dominance of Video in Learning

Video has long been a staple in L&D, thanks to its ability to convey complex information in an accessible, engaging format. In fact, a staggering 95% of organizations are using videos in some capacity for their L&D.

Today, the focus is shifting from static, one-size-fits-all videos to more adaptive and interactive experiences. Instead of passively consuming a lecture, learners can interact with scenario-based content, make decisions, and see the consequences unfold. 

This transforms learning from a passive activity into an immersive, story-driven experience that holds attention and improves retention. When paired with microlearning – content broken into short segments – video becomes even more powerful by delivering knowledge in manageable, impactful doses.

Microlearning: Empowering the Modern Learner

As work moves faster and time becomes more precious, the traditional long-format training model often fails to resonate. Microlearning addresses this challenge by delivering focused content in short bursts, allowing employees to acquire and practice new skills without stepping away from their busy schedules for extended periods. Whether it’s a quick tutorial, a concise how-to guide, or a brief scenario, microlearning is designed to meet learners where they are – on the job, in the flow of work.

This approach not only respects employees’ limited time but also leverages how people learn best. Information presented in small, digestible units is easier to remember and apply, and boosts overall retention by over 50%. Over time, these bite-sized lessons form a continuous learning journey that can flex and adapt to changing roles, responsibilities, and organizational priorities.

AI Powered Personalization: The Future of Learning Experiences

Personalized learning is rapidly becoming the gold standard for effective training. Generic, one-size-fits-all approaches can’t compete with AI-driven tools that tailor content to individual needs, roles, and career trajectories. Employees increasingly seek training that feels relevant to their day-to-day responsibilities and professional ambitions, rather than wading through generic modules. 

In fact, over 91% said they wanted learning experiences that were tailored to them and 54% said they’d spend more time on personal development if they had role specific training. 

This is where platforms like 5mins.ai step in. By offering microlearning experiences that adapt to the learner’s role, skill level, and development needs, 5mins.ai enables organizations to deliver highly targeted training at scale. For instance, employees can engage with curated microlearning videos and interactive modules that address specific skill gaps in real time, ensuring that the learning experience is both relevant and impactful.

By offering dynamic, personalized microlearning experiences aligned with each learner’s skill level and goals, platforms such as 5mins.ai enable organizations to deliver targeted training at scale. This ensures that each employee receives the knowledge and support they need, exactly when they need it.

What’s Next? Trends Shaping 2025 and Beyond

As we look toward 2025, the integration of video, microlearning, and AI will continue to transform the learning landscape. Advancements like conversational avatars, adaptive learning paths, and ever-more-interactive formats will redefine what it means to engage with training content. Organizations leveraging these trends now are already seeing faster upskilling, higher engagement, and better knowledge retention.

By adopting forward-thinking solutions, businesses position themselves for the future of work. They ensure their people remain agile, informed, and empowered to meet whatever challenges lie ahead. In this new era, learning isn’t just a once-in-a-while event – it’s a continuous, evolving process supported by cutting-edge technology and grounded in the genuine needs of the modern workforce.