Transcribing large audio or video files can be quite a task, especially when accuracy and speed are both critical. Currently, I’m exploring different approaches, with a focus on OpenAI’s Whisper library and some GPU-accelerated alternatives that promise faster processing times.
One promising option I came across is a tool called insanely-fast-whisper, which is part of a repository called transcribe-anything. This setup is built to work with Python 3.11 and offers a straightforward, native interface for transcribing various media formats like videos and audio files. I’ve started testing it, and so far, it seems to be efficient and user-friendly.
My next steps will involve evaluating:
• Performance and Speed: How much faster is it compared to other methods, especially with large files?
• Transcription Quality: Does the accuracy hold up, particularly with complex audio?
If it proves effective, this could be a game-changer for large-scale transcription tasks, simplifying the workflow and improving processing times. For now, I’ll continue testing and refining based on these initial results.
conda create -n py_3.11 python=3.11
conda activate py_3.11
pip install transcribe-anything
# slow cpu mode, works everywhere
transcribe-anything https://www.youtube.com/watch?v=dQw4w9WgXcQ
# insanely fast using the insanely-fast-whisper backend.
transcribe-anything https://www.youtube.com/watch?v=dQw4w9WgXcQ --device insane
# translate from any language to english
transcribe-anything https://www.youtube.com/watch?v=dQw4w9WgXcQ --device insane --task translate