whisper-youtube and ur_audio_sub
Both tools wrap OpenAI's Whisper for YouTube transcription but target different use cases: the first is a standalone application focused on YouTube-specific transcription, while the second is a Google Colab notebook that provides a more accessible, browser-based workflow with multi-language support—making them complementary approaches rather than direct competitors.
About whisper-youtube
ArthurFDLR/whisper-youtube
🔉 Youtube Videos Transcription with OpenAI's Whisper
Extracts audio from YouTube videos using `yt-dlp` or similar tools, then processes it through Whisper's multilingual speech recognition pipeline to generate timestamped transcripts. Designed as a Google Colab notebook for GPU-accelerated inference, supporting multiple Whisper model sizes (tiny through large) with configurable parameters for language detection, translation, and output formats that can be saved directly to Google Drive.
About ur_audio_sub
thinh-vu/ur_audio_sub
Generate text captions for audio files & youtube video using OpenAI Whisper on Google Colab. Multiple languages support.
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