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Meeting Transcriber

Local, offline speech-to-text for English and Afrikaans meetings. Uses OpenAI Whisper via faster-whisper. No data leaves your machine.

Quick Start

  1. Run setup.bat once to install dependencies (~300 MB)
  2. Run transcriber.bat to open the GUI
  3. Select your audio/video file and click Transcribe

Supported Formats

mp3, wav, m4a, ogg, flac, mp4, mkv, webm, aac, wma

Model Guide

Model Quality Speed RAM needed
turbo Very good Fast ~2 GB
large-v3 Best Slow ~4 GB
medium Good Medium ~2 GB
small OK Fast ~1 GB
base Basic Fast ~500 MB

Recommendation: Start with turbo. Use large-v3 for critical meetings.

Language Tips

  • Set language to Afrikaans or English explicitly for best accuracy
  • Auto-detect works well when the language is clear
  • Code-switching (mixing Afrikaans/English) works better with large-v3

First Run Note

The first transcription downloads the model from Hugging Face (~1-3 GB depending on model). Subsequent runs use the cached model and are instant to load.

GPU Acceleration

If you have an NVIDIA GPU, select GPU (CUDA) in the app and set precision to float16 for 3-5x faster transcription.

About

Local, offline speech-to-text for meetings (English + Afrikaans) via Whisper/faster-whisper. No audio leaves your machine.

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