transcribe-anything 2.7.3

Uses whisper AI to transcribe speach from video and audio files. Also accepts urls for youtube, rumble, bitchute, clear file, etc.

transcribe-anything

USES WHISPER AI

Over 200+⭐'s because this program just works!!

Input a local file or url and this tool 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. 🤯🤯🤯

Your data stays private and is not uploaded to any service.

Install

pip install transcribe-anything

GPU Acceleration

Unlike other whisper implementations, this one should automatically bind to the GPU if nvidia-smi drivers are installed. This is due to the use of isolated-environment which will lazily install the GPU-accelerated version of Torch on first use.

Because of this isolation, this tool should not interfere with torch and other AI dependencies.

Usage

 transcribe-anything https://www.youtube.com/watch?v=dQw4w9WgXcQ

Will output:

Detecting language using up to the first 30 seconds. Use `--language` to specify the language
Detected language: English
[00:00.000 --> 00:27.000]  We're no strangers to love, you know the rules, and so do I
[00:27.000 --> 00:31.000]  I've built commitments while I'm thinking of
[00:31.000 --> 00:35.000]  You wouldn't get this from any other guy
[00:35.000 --> 00:40.000]  I just wanna tell you how I'm feeling
[00:40.000 --> 00:43.000]  Gotta make you understand
[00:43.000 --> 00:45.000]  Never gonna give you up
[00:45.000 --> 00:47.000]  Never gonna let you down
[00:47.000 --> 00:51.000]  Never gonna run around and desert you
[00:51.000 --> 00:53.000]  Never gonna make you cry
[00:53.000 --> 00:55.000]  Never gonna say goodbye
[00:55.000 --> 00:58.000]  Never gonna tell a lie
[00:58.000 --> 01:00.000]  And hurt you
[01:00.000 --> 01:04.000]  We've known each other for so long
[01:04.000 --> 01:09.000]  Your heart's been aching but you're too shy to say it
[01:09.000 --> 01:13.000]  Inside we both know what's been going on
[01:13.000 --> 01:17.000]  We know the game and we're gonna play it
[01:17.000 --> 01:22.000]  And if you ask me how I'm feeling
[01:22.000 --> 01:25.000]  Don't tell me you're too much to see
[01:25.000 --> 01:27.000]  Never gonna give you up
[01:27.000 --> 01:29.000]  Never gonna let you down
[01:29.000 --> 01:33.000]  Never gonna run around and desert you
[01:33.000 --> 01:35.000]  Never gonna make you cry
[01:35.000 --> 01:38.000]  Never gonna say goodbye
[01:38.000 --> 01:40.000]  Never gonna tell a lie
[01:40.000 --> 01:42.000]  And hurt you
[01:42.000 --> 01:44.000]  Never gonna give you up
[01:44.000 --> 01:46.000]  Never gonna let you down
[01:46.000 --> 01:50.000]  Never gonna run around and desert you
[01:50.000 --> 01:52.000]  Never gonna make you cry
[01:52.000 --> 01:54.000]  Never gonna say goodbye
[01:54.000 --> 01:57.000]  Never gonna tell a lie
[01:57.000 --> 01:59.000]  And hurt you
[02:08.000 --> 02:10.000]  Never gonna give
[02:12.000 --> 02:14.000]  Never gonna give
[02:16.000 --> 02:19.000]  We've known each other for so long
[02:19.000 --> 02:24.000]  Your heart's been aching but you're too shy to say it
[02:24.000 --> 02:28.000]  Inside we both know what's been going on
[02:28.000 --> 02:32.000]  We know the game and we're gonna play it
[02:32.000 --> 02:37.000]  I just wanna tell you how I'm feeling
[02:37.000 --> 02:40.000]  Gotta make you understand
[02:40.000 --> 02:42.000]  Never gonna give you up
[02:42.000 --> 02:44.000]  Never gonna let you down
[02:44.000 --> 02:48.000]  Never gonna run around and desert you
[02:48.000 --> 02:50.000]  Never gonna make you cry
[02:50.000 --> 02:53.000]  Never gonna say goodbye
[02:53.000 --> 02:55.000]  Never gonna tell a lie
[02:55.000 --> 02:57.000]  And hurt you
[02:57.000 --> 02:59.000]  Never gonna give you up
[02:59.000 --> 03:01.000]  Never gonna let you down
[03:01.000 --> 03:05.000]  Never gonna run around and desert you
[03:05.000 --> 03:08.000]  Never gonna make you cry
[03:08.000 --> 03:10.000]  Never gonna say goodbye
[03:10.000 --> 03:12.000]  Never gonna tell a lie
[03:12.000 --> 03:14.000]  And hurt you
[03:14.000 --> 03:16.000]  Never gonna give you up
[03:16.000 --> 03:23.000]  If you want, never gonna let you down Never gonna run around and desert you
[03:23.000 --> 03:28.000]  Never gonna make you hide Never gonna say goodbye
[03:28.000 --> 03:42.000]  Never gonna tell you I ain't ready

Api

from transcribe_anything.api import transcribe

transcribe(
    url_or_file="https://www.youtube.com/watch?v=dQw4w9WgXcQ",
    output_dir="output_dir",
)

Develop

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

> 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>

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

• 2.7.3: Various fixes for the insane mode backend.
• 2.7.0: Introduces an insanely-fast-whisper, enable by using --device insane
• 2.6.0: GPU acceleration now happens automatically on Windows thanks to isolated-environment. This will also prevent interference with different versions of torch for other AI tools.
• 2.5.0: --model large now aliases to --model large-v3. Use --model large-legacy to use original large model.
• 2.4.0: pytorch updated to 2.1.2, gpu install script updated to same + cuda version is now 121.
• 2.3.9: Fallback to cpu device if gpu device is not compatible.
• 2.3.8: Fix --models arg which
• 2.3.7: Critical fix: fixes dependency breakage with open-ai. Fixes windows use of embedded tool.
• 2.3.6: Fixes typo in readme for installation instructions.
• 2.3.5: Now has --embed to burn the subtitles into the video itself. Only works on local mp4 files at the moment.
• 2.3.4: Removed out.mp3 and instead use a temporary wav file, as that is faster to process. --no-keep-audio has now been removed.
• 2.3.3: Fix case where there spaces in name (happens on windows)
• 2.3.2: Fix windows transcoding error
• 2.3.1: static-ffmpeg >= 2.5 now specified
• 2.3.0: Now uses the official version of whisper ai
• 2.2.1: "test_" is now prepended to all the different output folder names.
• 2.2.0: Now explictly setting a language will put the file in a folder with that language name, allowing multi language passes without overwriting.
• 2.1.2: yt-dlp pinned to new minimum version. Fixes downloading issues from old lib. Adds audio normalization by default.
• 2.1.1: Updates keywords for easier pypi finding.
• 2.1.0: Unknown args are now assumed to be for whisper and passed to it as-is. Fixes https://github.com/zackees/transcribe-anything/issues/3
• 2.0.13: Now works with python 3.9
• 2.0.12: Adds --device to argument parameters. This will default to CUDA if available, else CPU.
• 2.0.11: Automatically deletes files in the out directory if they already exist.
• 2.0.10: fixes local file issue https://github.com/zackees/transcribe-anything/issues/2
• 2.0.9: fixes sanitization of path names for some youtube videos
• 2.0.8: fix --output_dir not being respected.
• 2.0.7: install_cuda.sh -> install_cuda.py
• 2.0.6: Fixes twitter video fetching. --keep-audio -> --no-keep-audio
• 2.0.5: Fix bad filename on trailing urls ending with /, adds --keep-audio
• 2.0.3: GPU support is now added. Run the install_cuda.sh script to enable.
• 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!

Notes:

• Faster whisper
  • https://github.com/Vaibhavs10/insanely-fast-whisper