Skip to main content

Transcribe videos to ASS subtitle files in 99 languages using faster-whisper

Project description

whispersub

Transcribe video files to ASS subtitle files using faster-whisper. Whisper detects the spoken language automatically and supports 99 languages, including English, Spanish, French, German, Japanese, Chinese, Arabic, Hindi, and many more.

  • NVIDIA GPU acceleration with automatic CPU fallback
  • Batch mode: pass multiple video files or directory trees
  • Surround-sound audio extraction (dialogue-channel aware)
  • Word-level timestamps with balanced line breaking
  • Per-word confidence colour coding in the terminal

Requirements

Python 3.10+. Works on Linux, Windows, and macOS. No system FFmpeg needed — PyAV bundles its own. Supports MKV, MP4, AVI, MOV, WebM, TS, and other common video formats.

Install

pip install whispersub

GPU acceleration (Linux/Windows — requires an NVIDIA GPU with CUDA 12):

pip install whispersub[gpu]

Without [gpu], whispersub falls back to CPU automatically if CUDA is unavailable.

On first run, whispersub downloads the Whisper large-v3-turbo model (~800 MB) from Hugging Face and caches it locally.

Usage

# Single file — writes movie.en.ass alongside the video
whispersub movie.mkv

# Explicit output directory
whispersub movie.mkv --output-dir ~/subs

# Whole directory, force overwrite
whispersub /media/shows --force

# File with multiple audio tracks — inspect, then pick one
whispersub series.mkv --list-audio-tracks
whispersub series.mkv --audio-track 2

Options

Option Default Description
--audio-track N Audio track index (required if the file has multiple tracks)
--list-audio-tracks off Show audio tracks for all input videos, grouped by configuration, and exit
--colour-by probability Per-word terminal colour coding: probability or duration
--font-size N 48 Font size (1280×720 canvas; player scales to actual resolution)
--force off Overwrite existing subtitle files
--limit N Stop after N segments per video (useful for testing)
--max-line-count N 2 Maximum subtitle lines per card
--max-line-width N 36 Maximum characters per line
--max-threads N all cores CPU thread limit
--output-dir DIR alongside video Write all subtitle files to this directory

Output

Subtitle files are named <stem>.<language>.ass, e.g. movie.en.ass. The detected language comes from Whisper. Output is compatible with VLC, mpv, IINA, MPC-HC, and other players that support ASS/SSA subtitles.

We chose ASS over SRT for better-looking subtitles: font sizing scales correctly to any resolution, and line breaks are balanced for readability. It also allows us to preserve word-level timing, so the file can be post-processed or reformatted without re-transcribing.

Licence

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

whispersub-1.3.1.tar.gz (24.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

whispersub-1.3.1-py3-none-any.whl (14.8 kB view details)

Uploaded Python 3

File details

Details for the file whispersub-1.3.1.tar.gz.

File metadata

  • Download URL: whispersub-1.3.1.tar.gz
  • Upload date:
  • Size: 24.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for whispersub-1.3.1.tar.gz
Algorithm Hash digest
SHA256 076bfe5b689440ec2411735bfd15c78ead1826a617f4f7dfbf211cbdf224b299
MD5 401b9e2e0021630c5c3c723bcb8bedd0
BLAKE2b-256 e5a6134b4b1f9a7af1600710f925f79f3885aadd13acd0b7d1addc56dd611193

See more details on using hashes here.

Provenance

The following attestation bundles were made for whispersub-1.3.1.tar.gz:

Publisher: publish.yml on zvea/whispersub

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file whispersub-1.3.1-py3-none-any.whl.

File metadata

  • Download URL: whispersub-1.3.1-py3-none-any.whl
  • Upload date:
  • Size: 14.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for whispersub-1.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 bb8a7080ad205e0e61870742aba6e9135b797e3ac0cfb9fb0015d0bc2fefa809
MD5 ae9e0351649ecec986dc820683833bd3
BLAKE2b-256 c3b58562f3d54be0521df722e1728841b8e07ffe3f52cb611312077febb7d79e

See more details on using hashes here.

Provenance

The following attestation bundles were made for whispersub-1.3.1-py3-none-any.whl:

Publisher: publish.yml on zvea/whispersub

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page