Metadata-Version: 2.1
Name: transcribe-anything
Version: 2.0.2
Summary: Uses whisper AI to transcribe speach from video and audio files. Also accepts urls for youtube, rumble, bitchute, clear file, etc.
Home-page: https://github.com/zackees/transcribe-anything
Author: Zach Vorhies
Author-email: dont@email.me
License: MIT
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.8
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Environment :: Console
Requires-Python: >=3.10.0
Description-Content-Type: text/markdown
License-File: LICENSE


# transcribe-anything

Input a local file or url and this service will transcribe it using Whisper AI into subtitle files and raw text.

Uses whisper AI so this is state of the art translation service - completely free. ðŸ¤¯ðŸ¤¯ðŸ¤¯

Version 2.0 is CPU only for now.
Pull requests welcome! Looking for help to getting the gpu accelerated pytorch installations running.

# Usage

```bash
> pip install transcribe-anything
> transcribe_anything <YOUTUBE_URL>
# Outputs the srt, vtt and txt files in YOUTUBE_URL/out.vtt
> transcribe_anything <LOCAL.MP4/MP3/WAV>
# Same but in LOCAL/out.vtt ...
```

# Build Status

[![Actions Status](https://github.com/zackees/transcribe-anything/workflows/MacOS_Tests/badge.svg)](https://github.com/zackees/transcribe-anything/actions/workflows/push_macos.yml)
[![Actions Status](https://github.com/zackees/transcribe-anything/workflows/Win_Tests/badge.svg)](https://github.com/zackees/transcribe-anything/actions/workflows/push_win.yml)
[![Actions Status](https://github.com/zackees/transcribe-anything/workflows/Ubuntu_Tests/badge.svg)](https://github.com/zackees/transcribe-anything/actions/workflows/push_ubuntu.yml)


## Install dev

Works for Ubuntu/MacOS/Win32(in git-bash)
This will create a virtual environment

```bash
> cd transcribe_anything
> ./install_dev.sh
# Enter the environment:
> source activate.sh
```


The environment is now active and the next step will only install to the local python. If the terminal
is closed then to get back into the environment `cd transcribe_anything` and execute `source activate.sh`

## Required: Install to current python environment
  * `pip install transcribe-anything`
    * The command `transcribe_anything` will magically become available.
  * `transcribe_anything <YOUTUBE_URL> > out_subtitles.txt`
  * -or- `transcribe_anything <MY_LOCAL.MP4/WAV> > out_subtitles.txt`


# Tech Stack
  * OpenAI whisper
  * yt-dlp: https://github.com/yt-dlp/yt-dlp
  * static-ffmpeg
    * github: https://github.com/zackees/static_ffmpeg
    * pypi: https://pypi.org/project/static-ffmpeg/

# Testing
  * All tests are run by `tox`, simply go to the project directory root and run it.

# Versions
  * 2.0.2: Minor cleanup of file names (no more out.mp3.txt, it's now out.txt)
  * 2.0.1: Fixes missing dependencies and adds whisper option.
  * 2.0.0: New! Now a front end for Whisper ai!
