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A simple and efficient Python API to fetch YouTube video transcripts and subtitles, including auto-generated ones, without requiring a YouTube API key or a headless browser.
Provides a straightforward Python interface to programmatically access and retrieve transcripts for any public YouTube video.
Existing methods to get YouTube transcripts often require complex setups involving headless browsers or depend on the official YouTube Data API, which has usage limits and requires an API key. This project offers a simpler, more robust alternative.
Easily retrieve transcripts for any given YouTube video ID.
Works seamlessly with both manually uploaded and automatically generated subtitles/transcripts.
Bypasses the need for the official YouTube Data API, simplifying setup and usage.
Does not require a headless browser (like Selenium), simplifying deployment and reducing dependencies.
This API is useful in a variety of applications where programmatic access to YouTube video content is needed:
Collect and analyze large datasets of spoken content from educational, research, or news videos for linguistic analysis, sentiment analysis, or topic modeling.
Enables large-scale analysis of video content without manual transcription.
Extract text from videos to automatically generate blog posts, articles, social media updates, or summaries based on the video's content.
Speeds up the process of repurposing video content into text formats.
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