TranscriberQt

An easy-to-use GUI to easily transcribe speech to text, either from videos or directly from audio files.

NEW alternative version with multiple speakers support: https://github.com/illescasDaniel/transcriber-qt/tree/feature/multipleSpeakers

• UI: PySide6 using QML (Qt)
• AI models:
  • Speech recognition: whisper-large-v3-turbo ('deepdml/faster-whisper-large-v3-turbo-ct2'). Using faster-whisper.

How to use:

1. Drag and drop your video or audio.
2. Click transcribe.
3. By default, the transcription text file will be located in the same folder as the original input file.

Dependencies:

• See environment.yml for a basic conda environment with all necessary dependencies including nvidia ones for GPU support.
• Use environment-cpu.yml if you don't have a nvidia gpu. (conda env create -f environment.yml)

How to run it: Run python main.py inside src folder