I built a tool to replace capcut audio transcription
I originally added this to my site to speed up my video editing process. Last year I started a youtube channel and for some of my longer videos it's annoying to rely on youtube or capcut to transcribe when Whisper is open source. Capcut also recently updated their T&Cs to say they own your content if you use their app, so I cancelled my subscription. Another use-case I have is recording my claude prompts as audio, transcribing them, and then pasting them into my terminal. I mostly work on the CLI (claude, ffmpeg, whisper), but I wanted to make a browser version. Not reinventing the wheel…
In plain words
This tool transcribes audio and video using Whisper, an open-source speech recognition model, directly in the browser. It's designed for content creators and developers who need faster transcription than YouTube or CapCut offer, without uploading files to third-party services. The tool runs Whisper locally using Transformers.js, making it useful for video editors, YouTubers, and anyone who regularly converts spoken words to text.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
I originally added this to my site to speed up my video editing process. Last year I started a youtube channel and for some of my longer videos it's annoying to rely on youtube or capcut to transcribe when Whisper is open source. Capcut also recently updated their T&Cs to say they own your content if you use their app, so I cancelled my subscription. Another use-case I have is recording my claude prompts as audio, transcribing them, and then pasting them into my terminal. I mostly work on the CLI (claude, ffmpeg, whisper), but I wanted to make a browser version. Not reinventing the wheel here, just using Huggingface/Xenova Transformers.js to run Whisper in the browser with a background worker. You can see a demo here: https://www.youtube.com/watch?v=ICLOvAq9vKE If you're interested in building this yourself, there's a bunch of examples on Huggingface https://huggingface.co/collections/Xenova/transformersjs-dem...
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Kitten TTS is an open-source series of tiny and expressive text-to-speech models for on-device applications. We are excited to launch a preview of our smallest model, which is less than 25 MB. This model has 15M parameters. This release supports English text-to-speech applications in eight voices: four male and four female. The model is quantized to int8 + fp16, and it uses onnx for runtime. The model is designed to run literally anywhere eg. raspberry pi, low-end smartphones, wearables, browsers etc. No GPU required! We're releasing this to give early users a sense of the latency and voices…
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