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whishper

From public sources

Transcribe any audio to text, translate and edit subtitles 100% locally with a web UI. Powered by whisper models!

ApplicationCategory: Web Apps · Media & photosOpen sourcedata checked Oct 16, 2026
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Overview

  • ai
  • audio-to-text
  • golang
  • speech-recognition
  • speech-to-text
  • stt
  • subtitles
  • sveltekit
  • transcription
  • ui
  • web
  • web-whisper

Installation

Commands are shown, never run by the marketplace. Check them against the official documentation.

Compatibility

Unknown means no evidence was found — not that the product is incompatible.
PlatformStatusArchitectureEvidenceConfidence
Web browserUnknown———
Server / self-hostedUnknown———
Container (OCI)Unknown———

Releases

checked Oct 30, 2026
v3.1.4LatestSep 17, 2024Official source ↗

Files in 3.1.4

This release has no attached files.

Release history

Quality profile

algorithm quality-v1.0 · assessed Oct 16, 2026
Quality Score77
Risk Score0
Confidence 1.00
Quality Score and Risk Score are different measures. A high score does not guarantee safety.

Score components

Maintenance · 2016
last activity 76 days ago
Documentation · 1515
README 5169 chars, description present
Ready to use · 156
install instructions: no; releases: yes
Metadata · 1010
4/4 of description, homepage, license, topics
Releases · 106
10 release(s), latest 758 days ago
Category confidence · 105
classifier confidence 0.5
Adoption · 109
3090 stars (log-dampened, 10k = max)
License clarity · 55
SPDX AGPL-3.0
Community · 55
issues enabled, 183 forks

License

AGPL-3.0
Known licensefrom the repository host

This is the catalog policy status, not legal advice.

Sources

github.com/pluja/whishperPrimary★ 3,090 starslast activity Jul 31, 2026Primary repository · Confidence 1.00

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README

From pluja/whishper · license AGPL-3.0 · fetched Oct 30, 2026

[whishper banner]

🚧 I am working on a complete rewrite of the project. Progress on this can be seen at v4 branch. Consequently, this branch will not receive any new releases or updates.

Whishper is an open-source, 100% local audio transcription and subtitling suite with a full-featured web UI.

Features

  • 🗣️ Transcribe any media to text: audio, video, etc.
    • Transcribe from URLs (any source supported by yt-dlp).
    • Upload a file to transcribe.
  • 📥 Download transcriptions in many formats: TXT, JSON, VTT, SRT or copy the raw text to your clipboard.
  • 🌐 Translate your transcriptions to any language supported by Libretranslate.
  • ✍️ Powerful subtitle editor so you don't need to leave the UI!
    • Transcription highlighting based on media position.
    • CPS (Characters per second) warnings.
    • Segment splitting.
    • Segment insertion.
    • Subtitle language selection.
  • 🏠 100% Local: transcription, translation and subtitle edition happen 100% on your machine (can even work offline!).
  • 🚀 Fast: uses FasterWhisper as the Whisper backend: get much faster transcription times on CPU!
  • 👍 Quick and easy setup: use the quick start script, or run through a few steps!
  • 🔥 GPU support: use your NVIDIA GPU to get even faster transcription times!
  • 🐎 CPU support: no GPU? No problem! Whishper can run on CPU too.

Roadmap

  • Local folder as media input (#15).
  • Full-text search all transcriptions.
  • User authentication.
  • Audio recording from the browser.
  • Add insanely-fast-whisper as an optional backend (#53).
  • Support for GPU acceleration.
    • Non NVIDIA GPU support. Is it possible with faster-whisper?
  • Can we do something with seamless_communication?

Project structure

Whishper is a collection of pieces that work together. The three main pieces are:

  • Transcription-API: This is the API that enables running Faster-Whisper. You can find it in the transcription-api folder.
  • Whishper-Backend: This is the backend that coordinates frontend calls, database, and tasks. You can find it in backend folder.
  • Whishper-Frontend: This is the frontend (web UI) of the application. You can find it in frontend folder.
  • Translation (3rd party): This is the libretranslate container that is used for translating subtitles.
  • MongoDB (3rd party): This is the database that stores all the information about your transcriptions.
  • Nginx (3rd party): This is the proxy that allows running everything from a single domain.

Contributing

Contributions are welcome! Feel free to open a PR with your changes, or take a look at the issues to see if there is something you can help with.

Development setup

Check out the development documentation here.

Screenshots

These screenshots are available on the official website, click any of the following links to see:

Support

Star History

Credits

Open the repository ↗