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Update README.md: Rearrange new features for clarity and highlight Swedish-optimised models

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Kristofer Söderström
2026-03-02 17:10:15 +01:00
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README.md
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Local Transcribe with Whisper is a user-friendly desktop application that allows you to transcribe audio and video files using the Whisper ASR system, powered by [faster-whisper](https://github.com/SYSTRAN/faster-whisper) (CTranslate2). This application provides a graphical user interface (GUI) built with Python and the Tkinter library, making it easy to use even for those not familiar with programming.
## New in version 2.0!
1. **Switched to faster-whisper** — up to 4× faster transcription with lower memory usage.
2. **No separate FFmpeg installation needed** — audio decoding is handled by the bundled PyAV library.
3. **No admin rights required** — a plain `pip install` covers everything.
4. **No PyTorch dependency** — dramatically smaller install footprint.
5. **`tiny` model added** — smallest and fastest option for quick drafts.
1. **Switched to faster-whisper** — up to 4× faster transcription with lower memory usage, simpler installation.
2. **Swedish-optimised models** — [KB-Whisper](https://huggingface.co/collections/KBLab/kb-whisper) from the National Library of Sweden (KBLab)
3. **No separate FFmpeg installation needed** — audio decoding is handled by the bundled PyAV library.
4. **No admin rights required** — a plain `pip install` covers everything.
5. **No PyTorch dependency** — dramatically smaller install footprint.
6. **`tiny` model added** — smallest and fastest option.
## Features
* Select the folder containing the audio or video files you want to transcribe. Tested with m4a video.