Whisparr

What it does

Batch processing

It can process directories of media files, including recursively, and can overwrite existing subtitles when requested.checked 5 Oct 2026

Configuration

It supports JSON configuration files and command-line overrides.checked 5 Oct 2026

GPU support

Optional CUDA support can accelerate processing; the CLI also supports CPU operation.checked 5 Oct 2026

License

The repository states that Whisparr is released under the MIT License.checked 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.checked 5 Oct 2026

Notable limitations

The README lists watch mode, a web interface, Docker deployment, media-server integration, and speaker diarization as future enhancements.checked 5 Oct 2026

Purpose

Whisparr is an automated subtitle generation tool for video and audio files, powered by OpenAI’s Whisper model.checked 5 Oct 2026

Requirements

Installation requires Python 3.8 or newer and FFmpeg.checked 5 Oct 2026

Subtitle export

srt and vttchecked 22 Sep 2026

Subtitle formats

It generates SRT and WebVTT subtitle files.checked 5 Oct 2026

Support

The project directs users to open a repository issue for issues, questions, or feature requests.checked 5 Oct 2026

Transcription

It transcribes speech and supports selecting tiny, base, small, medium, or large Whisper models.checked 5 Oct 2026

Translation

It can translate subtitles using OpenAI or Anthropic models, with API keys supplied as environment variables.checked 5 Oct 2026