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- Whisply
On the recordRead 12 Oct 202620 facts
Whisply
On the record
- Annotation limitation
- The README notes diarization may be inaccurate when speakers talk at the same time and lists built-in word-alignment support for ten languages.github.com · read 12 Oct 2026
- Batch input
- It can process individual files, folders, URLs, and lists of files.github.com · read 12 Oct 2026
- Exports
- Export formats include JSON, RTTM, TXT, HTML, SRT, VTT, and WebVTT.github.com · read 12 Oct 2026
- Hardware
- It selects implementations for CPU, Nvidia GPU, or Apple Silicon MLX processing.github.com · read 12 Oct 2026
- Hardware support
- It selects faster-whisper for CPU or Nvidia GPU processing and mlx-whisper for Apple M1–M5 devices.github.com · read 12 Oct 2026
- Intended use
- The project metadata describes Whisply as a research tool, including for transcribing qualitative interviews and group discussions.github.com · read 12 Oct 2026
- Interfaces
- Whisply offers a command-line interface and an optional browser app that runs at a local URL.github.com · read 12 Oct 2026
- Known limitation
- The README notes that speaker diarization can be inaccurate when multiple speakers talk at the same time.github.com · read 12 Oct 2026
- License
- The package metadata identifies the software as MIT licensed.github.com · read 12 Oct 2026
- Makers
- The package metadata names Thomas Schmidt and Renat Shigapov as authors.github.com · read 12 Oct 2026
- Privacy
- The project metadata says processing runs entirely on the user's own hardware to protect sensitive research data.github.com · read 12 Oct 2026
- Processing
- It supports batch processing of files, folders, URLs, and lists of inputs.github.com · read 12 Oct 2026
- Purpose
- Whisply transcribes, translates, annotates, and creates subtitles from audio and video files using Whisper.github.com · read 12 Oct 2026
- Requirements
- The README lists FFmpeg and Python 3.10 or later but below 3.14 as requirements.github.com · read 12 Oct 2026
- Speaker annotation
- Word-level speaker annotation uses whisperX and pyannote and requires a Hugging Face access token and acceptance of the pyannote model terms.github.com · read 12 Oct 2026
- Speaker annotations
- Word-level speaker annotation uses whisperX and pyannote and requires a Hugging Face access token and acceptance of the model conditions.github.com · read 12 Oct 2026
- Speaker identification
- Yesgithub.com · read 22 Sep 2026
- Subtitle export
- other formatsgithub.com · read 22 Sep 2026
