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- Whisparr
On the recordRead 5 Oct 202613 facts
Whisparr
Plans and prices
Free
Free
MIT licensed software · translation requires an OpenAI or Anthropic API key
Read 5 Oct 2026 · github.com
On the record
- Batch processing
- It can process directories of media files, including recursively, and can overwrite existing subtitles when requested.github.com · read 5 Oct 2026
- Configuration
- It supports JSON configuration files and command-line overrides.github.com · read 5 Oct 2026
- GPU support
- Optional CUDA support can accelerate processing; the CLI also supports CPU operation.github.com · read 5 Oct 2026
- License
- The repository states that Whisparr is released under the MIT License.github.com · read 5 Oct 2026
- Media formats
- Documented video inputs include MP4, MKV, AVI, MOV, WMV, FLV, and WebM; audio inputs include MP3, WAV, FLAC, AAC, M4A, and OGG.github.com · read 5 Oct 2026
- Notable limitations
- The README lists watch mode, a web interface, Docker deployment, media-server integration, and speaker diarization as future enhancements.github.com · read 5 Oct 2026
- Purpose
- Whisparr is an automated subtitle generation tool for video and audio files, powered by OpenAI’s Whisper model.github.com · read 5 Oct 2026
- Requirements
- Installation requires Python 3.8 or newer and FFmpeg.github.com · read 5 Oct 2026
- Subtitle export
- srt and vttgithub.com · read 22 Sep 2026
- Subtitle formats
- It generates SRT and WebVTT subtitle files.github.com · read 5 Oct 2026
- Support
- The project directs users to open a repository issue for issues, questions, or feature requests.github.com · read 5 Oct 2026
- Transcription
- It transcribes speech and supports selecting tiny, base, small, medium, or large Whisper models.github.com · read 5 Oct 2026
- Translation
- It can translate subtitles using OpenAI or Anthropic models, with API keys supplied as environment variables.github.com · read 5 Oct 2026
