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Whisparr

Free#73 of 99 in AI Video Caption Generators

Whisparr: A self-hosted Whisper CLI for batch transcription and SRT or WebVTT subtitles. Ranked #73 of 99 in AI Video Caption Generators by our editors (3.0/10); pricing: Open source; best for technical users batch-generating subtitles from video.

3.0/10Editor score

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At a glance

Editor score
3.0 / 10
Pricing
Open source
Best for
Technical users batch-generating subtitles from video
Paid from
Free
Facts checked
22 Sep 2026

Where it wins
- Transcribes with selectable Whisper models from tiny to large
- Processes directories and exports SRT and WebVTT subtitles
- Can translate subtitles through OpenAI or Anthropic models
Where it doesn't
- Requires a Python command-line workflow
- Self-hosted desktop availability is limited to Windows, macOS, and Linux
- Speaker diarization is a future enhancement, not a current feature

Our verdict on Whisparr

Whisparr is an open-source, self-hosted tool that generates subtitles for audio and video files, aimed at technical users who are comfortable with a Python command-line interface. It uses OpenAI Whisper for speech transcription, handles individual files or directories, and can detect the source language automatically or accept a specified language. Its core output is SRT or WebVTT, making it a focused option for people who need subtitle files rather than a broader caption-editing workspace.

Batch processing and model selection are practical strengths for repeated jobs. Users can choose Whisper model sizes from tiny to large, and optional CUDA acceleration is available. Configuration uses JSON, with command-line overrides. This combination offers control over how transcription runs, but it also means Whisparr is better suited to people prepared to work in a terminal than to casual users seeking a graphical editor or guided workflow. The project is self-hosted and supports Windows, macOS, and Linux.

Whisparr can translate subtitles through OpenAI or Anthropic models, using provider API keys. That extends its role beyond transcription, though the translation path depends on external model providers. There is no paid-plan structure to weigh; the software is open source. Its scope remains subtitle generation: speaker diarization is described as a future enhancement, and styling or burned-in caption output is not established here. Choose Whisparr for configurable, batch subtitle generation on a supported desktop platform; look elsewhere if you need a visual editing workflow, speaker separation, or burned-in captions.

Your product? Our editors can test Whisparr in depth and publish a review, labelled as paid · from $149/mo →

Whisparr pricing

Plans Open sourceFree Free to use — no paid tier required for the core job.

See plans on github.com

Whisparr fact sheet

Free plan	Not verified
Paid from	Free
Max video length	Not verified
Caption languages	Not verified
Caption styling	Not verified
Subtitle export	Srt and vtt
Burn-in captions	Not verified
Speaker identification	Not verified
Brand caption presets	Not verified
Deployment	Self-hosted
Platforms	Windows, macOS, Linux
Support	Community
Built for	Solo, Small business (editorial estimate)
Pricing	Open source
Website	github.com
Facts checked	22 Sep 2026

Alternatives to Whisparr

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Featured on iTechGuides

Whisparr is listed in our AI Video Caption Generators directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 7 Oct 2026 · How we research and update