youtube-transcribe

You can transcribe a YouTube video offline by downloading the audio locally and converting it to text using whisper models, which eliminates the need for internet APIs or API keys. This Skill automates that entire process.

Yes, you need yt-dlp and ffmpeg to download and process YouTube audio for transcription. These libraries handle audio extraction efficiently, allowing whisper models to convert the audio into text.

Yes, you can use either whisper.cpp or openai-whisper for local speech-to-text. This Skill supports both transcription models, providing flexibility depending on your local environment and performance requirements.

The best way to transcribe educational lectures for research is using local offline transcription. This ensures privacy and allows you to review key points and document content without depending on external online services.

Yes, offline YouTube transcription is suitable for privacy-sensitive content. By downloading audio and transcribing it locally with whisper, your data never leaves your machine, ensuring complete privacy during processing.

Local whisper models provide offline transcription without relying on internet APIs, speeding up content analysis and note-taking. This approach avoids API keys and online service dependencies, offering a faster, private workflow.