# absadiki/subsai

🎞️ Subtitles generation tool (Web-UI + CLI + Python package) powered by OpenAI's Whisper and its variants 🎞️

Repository: https://github.com/absadiki/subsai
Canonical: https://ross.abutalabs.com/products/subsai
Homepage: https://absadiki.github.io/subsai/
Language: Python
License: GPL-3.0
License Family: copyleft
Topics: cli, webui, whisper, whisper-ai, subtitles, subtitles-generator
Last push: 2026-04-20T01:29:19+00:00

## Health v2 (maintenance only)
Score: 66/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 78, release rhythm 35, longevity 91
- inputs: {"age_days": 1283, "days_push": 136, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1682, forks 138 (observed 2026-08-28T04:05:21.734977+00:00)

## What it is
Subs AI is a subtitles generation tool available as a Web-UI, CLI, and Python package, powered by OpenAI's Whisper and its variants (faster-whisper, whisperX, whisper.cpp, etc.). It transcribes audio/video files and exports subtitles in formats like SRT and VTT.

## Use cases
- generate subtitles for a video file
- transcribe mp4 audio to srt
- batch generate subtitles with whisper
- create word-level timestamped captions
- add subtitles to videos using whisper models
- transcribe podcasts to text with timestamps

## When to choose
- you want a ready-made tool with Web-UI and CLI for subtitle generation
- you want to compare or switch between multiple Whisper implementations
- you need a Python API to integrate transcription into your pipeline

## When to avoid
- you need real-time streaming transcription
- you need full subtitle editing or translation features
- you want a lightweight tool without ML model dependencies

## Facets
- artifact type: application
- maturity: active
- function: speech-recognition, cli, machine-learning, llm-inference
- domain: speech-processing, media, artificial-intelligence, developer-tools
- platform: python, cli, cross-platform
- tags: whisper, subtitles, transcription, web-ui, srt, asr, docker, web-server

## Member repositories
- absadiki/subsai (main) score 66

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:21.734977+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:41:21.260781+00:00, confidence not recorded.
  - readme: https://github.com/absadiki/subsai (fetched 2026-08-28T04:05:21.734977+00:00, sha d748a2e333d0)
  - homepage: https://absadiki.github.io/subsai/ (fetched 2026-08-29T11:14:14.727267+00:00, sha b42119dd4518)
- Data as of 2026-08-30T08:39:29.467469+00:00.