TranscriptYT vs. the youtube-transcript-api Python Library
youtube-transcript-api is a well-known open-source Python package (pip install youtube-transcript-api) that fetches caption data directly from YouTube, for free, in your own process. TranscriptYT is a hosted REST API that does the same underlying job without you running or maintaining the extraction code.
| YouTube Transcript API | the youtube-transcript-api Python library | |
|---|---|---|
| Cost | Free tier, then usage-based | Free — you run it yourself |
| Infrastructure | Hosted, no proxy management | Self-hosted; YouTube blocks most datacenter IPs, so production use typically needs your own proxy setup |
| Language | Any language, over HTTP | Python only |
| Output formats | JSON, text, SRT, VTT via query param | JSON-like objects; formatting/export is on you |
| Maintenance | We track YouTube's changes | You track upstream releases and YouTube changes yourself |
When the Python library is the better fit
For a script, a notebook, or a low-volume personal project running from a residential IP, the library is free and gives you direct control over the request. If you're already in Python and don't need SRT/VTT export or a stable hosted contract, it's a reasonable starting point.
When TranscriptYT is the better fit
In production — especially on cloud infrastructure — YouTube generally blocks datacenter IP ranges, which means self-hosting the library usually means also running and paying for your own proxy layer. A hosted API absorbs that operational work, works from any language over plain HTTP, and returns subtitle-ready SRT/VTT without extra formatting code.
The short version
Prototyping in Python on your own machine? The library is free and direct. Shipping a product that needs to reliably fetch transcripts at scale, from any stack? A hosted API removes the proxy and maintenance burden.