Yet another local transcription tool but this uses Parakeet V3 (with FluidAudio / Apple CoreML under the hood) instead of Whispr and allows for easy diarization (speaker detection) and quality control of the result through an HTML interface.
This tool is a result of me realising there are no real options for interview transcriptions with speaker detection that can be used in an university study evaluation context where you do not upload the data into a someone’s else’s cloud with questionable privacy policies.
Feature summary:
- Diarized transcription — identifies speakers and assigns words to each speaker
- Plain-text output with timestamps and speaker labels
- Interactive HTML with:
Color-coded speaker segments
Word-level highlighting synced to playback
- Click any word or segment to seek in the audio
- Rename speakers
- Built-in audio player (with playback speed selection)
Yet another local transcription tool but this uses Parakeet V3 (with FluidAudio / Apple CoreML under the hood) instead of Whispr and allows for easy diarization (speaker detection) and quality control of the result through an HTML interface.
This tool is a result of me realising there are no real options for interview transcriptions with speaker detection that can be used in an university study evaluation context where you do not upload the data into a someone’s else’s cloud with questionable privacy policies.
Feature summary:
- Diarized transcription — identifies speakers and assigns words to each speaker
- Plain-text output with timestamps and speaker labels
- Interactive HTML with: Color-coded speaker segments Word-level highlighting synced to playback - Click any word or segment to seek in the audio
- Rename speakers
- Built-in audio player (with playback speed selection)