transcribe-anything VS whisper.cpp

transcribe-anything

OpenAI whisper. Here is a tool that has it, a video downloader, and some other things bundled in with it: https://github.com/zackees/transcribe-anything

People interested in this might also be interested in transcribe-anything [1].

It automates video fetching and uses whisper to generate .srt, .vtt and .txt files.

[1] https://github.com/zackees/transcribe-anything

Nice looks great, link broken but it just needed a hyphen https://github.com/zackees/transcribe-anything

Right now the cuda accelerated whls are hosted outside of pypi which can only be accessed by using `--extra-index-url`, when installing from a requirements file (pip install -r requirements.txt). However pip install doesn't allow --extra-index-url for security reasons, which means deploying cuda accelerated ML apps on python is a complicated affair, see this [script](https://github.com/zackees/transcribe-anything/blob/main/install_cuda.py) as an example of what needs to be done to uninstall conflicting cpu only version of pytorch and replace it with cuda acceleration.

Transcribe Anything

Code Repo: https://github.com/zackees/transcribe-anything (please give my repo a like)

whisper.cpp [1] has a karaoke example that uses ffmpeg's drawtext filter to display rudimentary karaoke-like captions. It also supports diarisation. Perhaps it could be a starting point to create a better script that does what you need.

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1: https://github.com/ggerganov/whisper.cpp/blob/master/README....

The ggml library is one of the first library for local LLM interference. It’s a pure C library that converts models to run on several devices, including desktops, laptops, and even mobile device - and therefore, it can also be considered as a tinkering tool, trying new optimizations, that will then be incorporated into other downstream projects. This tool is at the heart of several other projects, powering LLM interference on desktop or even mobile phones. Subprojects for running specific LLMs or LLM families exists, such as whisper.cpp.

I'm not sure if it is _fully_ openai compatible, but whispercpp has a server bundled that says it is "OAI-like": https://github.com/ggerganov/whisper.cpp/tree/master/example...

I don't have any direct experience with it... I've only played around with whisper locally, using scripts.

unless i'm misunderstanding `whisper.cpp` seems to support streaming & the repository includes a native example[0] and a WASM example[1] with a demo site[2].

[0]: https://github.com/ggerganov/whisper.cpp/tree/master/example...

Usage 1: Good to transcribe audio. An example use case could be to summarize YouTube videos or long courses. Usage 2: You talk with voice to your AI that responds with text (later with audio too). - https://github.com/ggerganov/whisper.cpp

🗣️🎙️ whisper.cpp (offline speech-to-text transcription, models trained by OpenAI, CLI based, browser based)

Has anyone played around with Whisper C++ for swift? I'm hitting a snag even on the demo. I've downloaded the github repo and everything matches up with this video [ https://youtu.be/b10OHCDHDQ4 ] but when he hits the transcribe button, it actually prints out the captioning. When I do it, it skips that part and just says "Done...". But it, does everything else - plays the audio, says it's transcribing.. just doesn't show me the transcription: and it's not in the debug window either. But the demo isn't throwing any errors, and I haven't messed with the code really so this is their example. https://github.com/ggerganov/whisper.cpp