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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
💬📝 A small dictation app using OpenAI's Whisper speech recognition model.
| Date | Stars |
|---|---|
| 2026-07-24 | 1077 |
| 2026-07-25 | 1077 |
| 2026-07-28 | 1080 |
| 2026-07-30 | 1081 |
| 2026-08-06 | 1081 |
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# <img src="./assets/ww-logo.png" alt="WhisperWriter icon" width="25" height="25"> WhisperWriter
<p align="center">
<img src="./assets/ww-demo-image-02.gif" alt="WhisperWriter demo gif" width="340" height="136">
</p>
**Update (2024-05-28):** I've just merged in a major rewrite of WhisperWriter! We've migrated from using `tkinter` to using `PyQt5` for the UI, added a new settings window for configuration, a new continuous recording mode, support for a local API, and more! Please be patient as I work out any bugs that may have been introduced in the process. If you encounter any problems, please [open a new issue](https://github.com/savbell/whisper-writer/issues)!
WhisperWriter is a small speech-to-text app that uses [OpenAI's Whisper model](https://openai.com/research/whisper) to auto-transcribe recordings from a user's microphone to the active window.
Once started, the script runs in the background and waits for a keyboard shortcut to be pressed (`ctrl+shift+space` by default). When the shortcut is pressed, the app starts recording from your microphone. There are four recording modes to choose from:
- `continuous` (default): Recording will stop after a long enough pause in your speech. The app will transcribe the text and then start recording again. To stop listening, press the keyboard shortcut again.
- `voice_activity_detection`: Recording will stop after a long enough pause in your speech. Recording will not start until the keyboard shortcut is pressed again.
- `press_to_toggle` Recording will stop when the keyboard shortcut is pressed again. Recording will not start until the keyboard shortcut is pressed again.
- `hold_to_record` Recording will continue until the keyboard shortcut is released. Recording will not start until the keyboard shortcut is held down again.
You can change the keyboard shortcut (`activation_key`) and recording mode in the [Configuration Options](#configuration-options). While recording and transcribing, a small status window is displayed that shows the current stage of the process (but this can be turned off). Once the transcription is complete, the transcribed text will be automatically written to the active window.
The transcription can either be done locally through the [faster-whisper Python package](https://github.com/SYSTRAN/faster-whisper/) or through a request to [OpenAI's API](https://platform.openai.com/docs/guides/speech-to-text). By default, the app will use a local model, but you can change this in the [Configuration Options](#configuration-options). If you choose to use the API, you will need to either provide your OpenAI API key or change the base URL endpoint.
**Fun fact:** Almost the entirety of the initial release of the project was pair-programmed with [ChatGPT-4](https://openai.com/product/gpt-4) and [GitHub Copilot](https://github.com/features/copilot) using VS Code. Practically every line, including most of this README, was written by AI. After the initial prototype was finished, WhisperWriter was used to write a lot of the prompts as well!
## Getting Started
### Prerequisites
Before you can run this app, you'll need to have the following software installed:
- Git: [https://git-scm.com/downloads](https://git-scm.com/downloads)
- Python `3.11`: [https://www.python.org/downloads/](https://www.python.org/downloads/)
If you want to run `faster-whisper` on your GPU, you'll also need to install the following NVIDIA libraries:
- [cuBLAS for CUDA 12](https://developer.nvidia.com/cublas)
- [cuDNN 8 for CUDA 12](https://developer.nvidia.com/cudnn)
<details>
<summary>More information on GPU execution</summary>
The below was taken directly from the [`faster-whisper` README](https://github.com/SYSTRAN/faster-whisper?tab=readme-ov-file#gpu):
**Note:** The latest versions of `ctranslate2` support CUDA 12 only. For CUDA 11, the current workaround is downgrading to the `3.24.0` version of `ctranslate2` (This can be Excerpt of 13,227 characters
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:5f8fd994e04fd586, topic:speech-recognition, topic:whisper, topic:speech-to-text