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API Documentation

HeyGen is an innovative text-to-video tool that offers a seamless way to transform text-based content into engaging videos. The tool works by converting user-provided text into a voiceover for videos, making it an ideal solution for those looking to convert transcripts into dynamic visual content. The uniqueness of HeyGen lies in its simplicity and flexibility. Users have the option to customize the video title, avatar gender, and avatar skin tone, but if these details are not provided, HeyGen's intelligent algorithm makes the decision without requiring additional user input. The completion of the video creation process is facilitated by a link through which users can view their videos once the processing is done. It's worth noting that processing times can range between one to five minutes, depending on the text length. In the rare event of video creation failure, HeyGen provides a detailed error message to help users troubleshoot the issue. Overall, HeyGen's capabilities provide a compelling solution for anyone looking to transform text into video content swiftly and effortlessly.




Example Prompts


Create a simple video with the text "How to make a perfect cup of coffee"


Generate a video with a female avatar and the script "Top


Make a video with a dark-skinned male avatar saying "The benefits of regular exercise"


Produce a presentation video with the image "" and the text "The impact of climate change on our planet"


Generate a presentation video with the title "Marketing Strategies for Small Businesses" and the script "Understanding your target audience is crucial for success"

Description for AI

HeyGen allows users to create a video by simply providing a transcript text. The user inputs the text transcript for the speech or voiceover they want to use for the video. The text should be short and concise. Optional properties such as video title, avatar gender, and avatar skintone can be extracted from the user's input, but if they are not present, the model should decide without seeking additional user input. Once the video is requested, a link to the video is provided. Users can view the video from the link after the video has completed processing. It is important to remind users that they may see a loading message in the link if the video is still being processed, and the page will automatically update with the progress. The user should also be informed that the video may take one to five minutes to process, depending on the text length. In case the video fails to create, an error message containing the reason(s) for the failure will be provided.

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