# m1guelpf/yt-whisper

Using OpenAI's Whisper to automatically generate YouTube subtitles

Repository: https://github.com/m1guelpf/yt-whisper
Canonical: https://ross.abutalabs.com/products/yt-whisper
Language: Python
License: MIT
License Family: permissive
Topics: ffmpeg, openai, openai-whisper, whisper, youtube, youtube-dl, subtitles, subtitles-generated, transcribe
Last push: 2024-01-16T09:18:11+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1441, "days_push": 960, "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 1446, forks 147 (observed 2026-08-28T04:04:45.325794+00:00)

## What it is
A Python CLI tool that downloads YouTube videos with yt-dlp and generates subtitle files (VTT) using OpenAI's Whisper speech recognition models. It supports multiple Whisper model sizes and optional translation of subtitles into English.

## Use cases
- generate subtitles for a youtube video automatically
- transcribe youtube videos to text
- create vtt caption files with whisper
- translate youtube video audio into english subtitles
- download youtube audio and transcribe it offline

## When to choose
- you need quick, automatic captions for YouTube videos
- you want a simple pip-installable CLI wrapping Whisper
- you need subtitle translation to English

## When to avoid
- you need real-time or streaming transcription
- you want to process local audio/video files rather than YouTube URLs
- you need a GUI or web interface

## Facets
- artifact type: cli-tool
- maturity: maintenance
- function: speech-recognition, cli, video-processing
- domain: speech-processing, media, artificial-intelligence
- platform: python, cli, cross-platform
- tags: whisper, subtitles, youtube, yt-dlp, transcription, vtt, openai, command-line

## Member repositories
- m1guelpf/yt-whisper (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:45.325794+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 2026-08-30T04:36:10.775661+00:00, confidence not recorded.
  - readme: https://github.com/m1guelpf/yt-whisper (fetched 2026-08-28T04:04:45.325794+00:00, sha 3cb8491c748a)
- Data as of 2026-08-30T08:39:29.467469+00:00.