The 5 Best D-ID Alternatives In 2026 (Tried & Tested)

What are the best alternatives to D-ID?

• ‍Synthesia: Best for interactive training, enablement, and internal corporate communication
• HeyGen: High-quality expressive avatars with fast rendering‍
• Colossyan: L&D-focused avatar video platform‍
• AI Studios: Allows you to manually control avatar gestures‍‍
• Elai: Offers super-fast video rendering‍

D-ID is a popular AI avatar generator that offers very fast video rendering and affordable pricing. It's most commonly used for creating talking-head videos for corporate explainers, onboarding, and internal communications.

However, if you're looking to create higher-quality videos with realistic full-body avatars, D-ID can feel a bit limited. Other common user complaints include the lack of AI-generated B-roll and limited scene control and editing tools.

As a result, it might be worth exploring alternatives.

Here are the best D-ID alternatives, I've tried to flag each alternative's specific selling point and which use case they are best suited to.

How I tested these D-ID alternatives

I tested each of these AI avatar platforms using exactly the same script in both English and Spanish in order to ensure a fair and consistent comparison.

I evaluated each platform both on its own and specifically against D-ID. On average I spent about 1 hour testing each tool.

I tried to focus on the criteria that are most important to people when they are working with AI avatars, which in my opinion are avatar realism, lip sync accuracy, localization quality, overall stability, and how nice the platform is to use.

1. Synthesia

URL: https://www.synthesia.io/

Quick summary

• Avatar realism: High realism
• Lip-sync accuracy: High accuracy
• Voice quality: High
• Best use case: Training, enablement, and enterprise comms
• Biggest limitation: Slower rendering

My experience

Pros

As you can see in my test video above, Synthesia's AI avatars have a very high level of realism. The combination of natural facial expressions, subtle head and hand movements, and even interesting micro-expressions all result in a convincing avatar performance.

I think the lip sync looks very accurate and seemed to be stable across multiple video generations and even when I tested out sentences that were on the longer side.

The Synthesia avatar library has more than 240 stock avatars to choose from, many of which you can customize (i.e. change their clothes or the background).

In terms of custom avatars, the platform offers the ability to generate synthetic avatars based on a prompt, or you can make an avatar that looks like you or someone else (with their permission via a recorded consent video) using an image, a webcam recording, or by booking a studio session.

Synthesia's AI voices sound super natural and use a pacing and intonation that actually sounds like how people speak in real life. I only tested English and Spanish dialogue, but the platform supports over 160 languages along with the ability to clone your voice.

There is an option to do a one-click translation of any video made within Synthesia. For translation of existing videos (made outside of Synthesia) the platform also offers AI dubbing.

Synthesia offers two main routes for creating a video. You can upload a document, paste a URL, type a script, or input a prompt to create a video via the Assistant feature, which allows you to get a quick start and then iterate on your video via a chatbot.

The other option is to use Synthesia's video editor, which feels a lot like PowerPoint since it uses a similar slide-based layout. While the editor is script-based, there's also a timeline view. Regardless of which route you choose, you'll probably end up using one of the many video templates that help give your video structure and a nice design that you can easily adjust to match any brand kit.

It's worth also mentioning Synthesia's AI Playground, which gives you free access to AI video generation models like Veo 3 and Sora 2, as well as image generation models like FLUX.2. You can then download these assets or use them as B-roll in your avatar-driven videos.

One really cool feature is the ability to 'direct' your avatar to take actions in scenes that you prompt, which really helps to widen the range of videos that you can make with AI avatars. It moves the whole format beyond 'talking head' videos and towards something more dynamic.

Synthesia supports interactivity with options to add knowledge checks, clickable buttons, and branching scenarios to your video.

Cons

I think the most obvious disadvantage of Synthesia is that the avatar expressiveness feels quite controlled. This makes sense for Synthesia's target use cases, which tend to be very enterprise-focused (e.g. training, enablement, and corporate communications).

However, if you want to generate avatar-driven videos for less formal use cases, such as UGC-style or product-driven avatar videos for ads on social media, then Synthesia isn't a great fit.

Another downside with Synthesia is that it only supports Chrome and Microsoft Edge - so there is no Safari support. I use Safari as my default browser on my Mac, so this was a bit of a pain.

Lastly, I'd flag Synthesia's video rendering times as being slightly longer than most of the other options on this list.

How does Synthesia compare to D-ID?

Synthesia's avatar realism is significantly stronger than D-ID's, which lacks full-body expressiveness and hand gestures. Synthesia also has a lot more functionality that targets the L&D use case specifically (e.g. Synthesia supports SCORM exports whereas D-ID doesn't).

Synthesia offers AI-generated B-roll, motion graphics, and more interactivity options. D-ID doesn't.

D-ID has significantly faster video rendering and a very cheap entry-level plan ($5.90 per month).

I think Synthesia is the better fit for enterprise video and training use cases. D-ID might make sense for smaller teams who don't need very strong avatar realism and want to start experimenting with avatars on a very tight budget.

2. HeyGen

URL: https://www.heygen.com/

Quick summary

• Avatar realism: High realism
• Lip-sync accuracy: High accuracy
• Voice quality: High
• Best use case: Marketing videos
• Biggest limitation: Not specialized for L&D

My experience

Pros

I think HeyGen is in the top three of avatar platforms (along with Synthesia and Creatify) in terms of avatar realism. HeyGen's avatars are very expressive, with natural facial movements and body language.

I think the realism is also significantly enhanced by little touches like posture shifts, blinking, and other micro-gestures. I'd also call out the handling of hand and hair movement as being particularly good. These are often areas where AI avatars have issues.

In general, I found HeyGen's lip sync to be highly accurate. In my test video above you can see how the avatar's mouth movements are precisely aligned with the timing of the speech.

HeyGen's avatar creation process is fast and easy. I was able to generate a full avatar in around 15 seconds, which is on the faster end compared to the tools I've tested here, and the platform was also pretty quick to render my video.

I found the platform itself to be easy to use with a clean and easy-to-navigate UI, even with some of the advanced features the platform offers.

Cons

HeyGen is a popular tool among individual creators and marketing teams, so it's easy to see why the platform has placed less emphasis on learning design features and assessments.

I think the voice in my test video sounds very slightly robotic. The intonation in some parts of the script sounds off, such as the opening "Hello," which is a shame as visually I think my test came out pretty well.

I experienced video render failures during my testing. I was wondering if this is just me, but based on the complaints I've seen on Reddit, this appears to be a common issue with the platform. I was obviously able to get my video rendered, but aside from wasting my time, these failed renders also cost me credits.

During my testing I also spotted a few subtle lip texture artifacts (I had to look closely), which somewhat reduced overall avatar realism.

How does HeyGen compare to D-ID?

HeyGen and D-ID are similar in that they are both relatively light on L&D-focused features. HeyGen can work for training videos, but it's really more of a general-purpose avatar platform that has only recently started adding some LMS-oriented features, such as support for SCORM exports.

HeyGen has much higher-quality full-body avatars than D-ID does, so if avatar quality is your most important factor, then you should definitely go with HeyGen over D-ID.

Both platforms have pretty quick video rendering. During my testing HeyGen rendered in 30 seconds vs. D-ID in 15 seconds.

HeyGen includes a broader AI video generation ecosystem that D-ID lacks. D-ID is still very avatar-focused, so I think HeyGen is the better fit for creators, marketing teams, and agencies.

3. Colossyan

URL: https://www.colossyan.com/

Quick summary

• Avatar realism: Low realism
• Lip-sync accuracy: Medium accuracy
• Voice quality: High
• Best use case: Corporate training
• Biggest limitation: Weak avatar expressiveness

My experience

Pros

Colossyan, like Synthesia, targets enterprise avatar use cases, with a particular focus on learning and development.

There's lots of support for interactivity - you can add quizzes and branching scenarios to your avatar videos. There are more advanced features like completion analytics and LMS integrations, and you can also export your videos to your LMS via SCORM.

The Colossyan platform uses a slide-based editor that is similar to PowerPoint with a clean and easy-to-use interface. It lets you do limited exports in 4K quality on its free plan, which is very generous.

The AI voices in Colossyan are generally of a high standard.

Cons

While Colossyan's avatar quality has improved a lot recently, it's still not good enough in my opinion. Looking at my test video above, I think that the avatar's body movement is rigid and the gestures are often very unnatural and don't align with the tone of my script.

During my testing I had some issues with rendering. Both the English and Spanish versions of my video got stuck at 79% during the rendering process, so there seems to be an issue with reliability there.

I also noticed some minor audio artifacts and a slightly more robotic tone in the Spanish version when compared to the English, so it feels like you might need to prepare for a reduction in quality if you plan on using Colossyan for multilingual videos.

Lastly, I found the supporting media assets and B-roll options to be a lot more limited in Colossyan. There are no integrated AI video generation models for generating B-roll, and the music library is pretty limited too.

How does Colossyan compare to D-ID?

Both D-ID and Colossyan are AI avatar platforms that target enterprise use cases and use slide-based editors.

Both platforms suffer from low-realism AI avatars, which makes me think that if you want to create engaging avatar-driven videos for enterprise use cases then it's better to use a different platform on this list.

Colossyan has a much more complete L&D-focused feature set (including SCORM support, interactivity, and branching).

However, I feel like Colossyan's avatar realism is poor enough that it would be a distraction for me if I was a learner trying to complete a learning module, so I don't think I can recommend it for that use case.

In my testing D-ID's rendering (15 seconds) was significantly faster than Colossyan's (8 minutes) - there's a significant gap in reliability and speed in D-ID's favor.

4. AI Studios

URL: https://www.aistudios.com/

Quick summary

• Avatar realism: Medium realism
• Lip-sync accuracy: Low accuracy
• Voice quality: Low
• Best use case: Social, product, and explainer videos
• Biggest limitation: Avatar realism is weaker

My experience

Pros

AI Studios offers a wide variety of AI tools in one platform, including AI avatars, AI dubbing, access to a range of AI video models (like Sora, Veo, and Kling), AI image generation, and deepfake detection. If you work a lot with AI video and need a number of these tools, then AI Studios offers pretty good value.

If you're interested in AI dubbing you should check out my roundup of the best AI video translators where I take a look at AI Studios and other AI dubbing tools.

AI Studios has a huge library of over 2,000 stock avatars, as well as options for studio, photo, product and 3D avatars. The platform also supports multi-avatar scenes, and has an interesting manual gesture scripting feature which gives you a lot more control over avatar behavior than the other platforms on this list.

Like Synthesia and HeyGen, there's a variety of input flows that you can use to create a video using existing content, including script-to-avatar, URL-to-video, and doc-to-video flows. The AI Studios flows don't produce as polished results as those in Synthesia, but they still produce a robust output quickly and easily.

Cons

My biggest issue with AI Studios is that the avatar realism just isn't up to the level of the top-tier avatar generators. If you look at my test video above you'll spot a slight artificiality in the eyes which I think is clearly visible when you look closely. There are also quite a few moments in the test video where the lip sync is delayed which ruins the immersion for me.

The free AI voices used by AI Studios are very low quality, although if you upgrade to the more expensive tiers you will then get access to higher-quality ElevenLabs voices.

The AI Studios platform is also more complex than the others on this list, but I put this mostly down to the wide variety of functionality that it offers.

How does AI Studios compare to D-ID?

Both AI Studios and D-ID are enterprise-oriented, so I saw some overlap in the functionalities they both offer.

AI Studios offers a much wider variety of stock avatars compared to D-ID. I'm not a huge fan of either platform's avatar realism, but I think AI Studios is probably better in this aspect. I think D-ID has better lip-sync and voice quality than AI Studios, but AI Studios offers manual gesture control.

AI Studios integrates a full suite of AI video generation models, while D-ID doesn't. I think AI Studios is probably more suited for structured corporate video production than D-ID, whereas D-ID for me is an affordable option to experiment with AI avatars, but is otherwise fairly limited.

Overall, I'd highly recommend trying another platform on this list if you're looking for realistic avatars.

5. Elai

URL: https://elai.io/

Quick summary

• Avatar realism: Medium/low realism
• Lip-sync accuracy: Medium accuracy
• Voice quality: Average
• Best use case: Content repurposing
• Biggest limitation: Robotic AI voices

My experience

Pros

The Elai platform offers a range of document-to-video automation flows that give you plenty of options for converting existing content into avatar-driven videos.

I tried the workflows for URL-to-video and PowerPoint-to-video and they did a pretty good job of preserving the key points of my original content, although the videos generated would definitely need a fair amount of editing.

Like Synthesia and Colossyan, Elai also offers a number of interactive learning features including clickable links, branching logic, Q&A sessions, and SCORM export support, so I think it hits at least the minimum requirements for the L&D and training use case.

Cons

Looking at my test video, I think it's clear that Elai's avatar realism and expressiveness aren't that great. I can see video compositing issues around the avatar's hair which make the avatar look somewhat 'cut out' from the background.

The quality of the AI voices is also underwhelming. I found the delivery in my test video to be emotionally flat, and the delivery was even more robotic in the Spanish version of my test video.

Elai doesn't offer much in terms of B-roll options, since the platform doesn't have any integrated AI video generation models like Sora or Veo.

During my testing I experienced a bug when trying to generate my Spanish test video. The video generation kept failing despite the fact that I definitely had enough credits left. I'm not sure why this happened, but it seems like there are some video generation reliability issues.

How does Elai compare to D-ID?

Elai is better suited for training video production since it has a number of L&D-focused features (like SCORM and branching scenarios) that D-ID doesn't offer.

Elai also has a number of document-to-video workflows (e.g. PowerPoint-to-video) that D-ID can't match.

D-ID wins on video rendering speed. During my testing D-ID (15 seconds) beat Elai (1 minute 34 seconds), although they are both among the faster platforms that I've tested.

Both platforms are weak on avatar realism and expressiveness, so I'd probably look elsewhere if your use case requires higher-quality avatars.

How do these D-ID alternatives compare?