The parse was never the hard part. Holding an unblocked pipe into YouTube captions at volume is an operations problem with real running costs — and $5 a month is cheaper than renting and babysitting proxies.
REPLACEMENT BRIEF
dev tools
Can AI replace TranscriptAPI?
The happy path is one sitting — youtube-transcript-api fetches a caption track in a few lines, FastAPI wraps it, done. The honest gap is durability: YouTube rate-limits and IP-blocks caption scraping at volume, so DIY works until it suddenly does not, and the fix is a rotating proxy pool you rent and operate. The product sells the unblocked pipe, not the parsing.
A FastAPI endpoint that takes a YouTube URL and returns the caption track as timestamped JSON.
Build the personal version →AT A GLANCE
- price
- $5/mo
- listed annual price
- $60/yr
- replaceable scope
- A FastAPI endpoint that takes a YouTube URL and returns the caption track as timestamped JSON.
- build time
- one sitting
Build promptreviewed prompt · not run
the prompt
Curated promptBuild me a small YouTube transcript API service, a personal stand-in for TranscriptAPI. Requirements: - Python 3.11 stack: FastAPI, uvicorn, and the youtube-transcript-api library; no database, one file plus a README is fine. - GET /transcript?video=<id-or-url>: extract the video id, fetch the caption track, return JSON with the full text plus timestamped segments. - Support lang= with a sensible fallback to the first available track, and report which track was actually used in the response. - Clean JSON errors: 404 when captions are disabled or missing, 502 when YouTube blocks the fetch; never a bare 500. - Read an optional comma-separated PROXIES var from .env and rotate per request; with none set, run direct. - GET /health returning version and uptime. - A tiny CLI example in the README: curl the endpoint, jq out the text. - Keep it stateless and private: no accounts, no API keys, no telemetry, no storage. - README must be honest about the failure mode: at any real volume YouTube rate-limits and IP-blocks caption fetches, and this build has no defense. - Out of scope, deliberately: the rotating proxy pool and anti-blocking infrastructure, channel/playlist/search endpoints, bulk throughput, and SLAs. That reliability layer is the thing the paid product actually sells.
The prompt stays readable first. Choose a launch option when you are ready.
$ open in your agent (prompt prefilled, you press enter) or copy it raw
what AI can build
A FastAPI endpoint that takes a YouTube URL and returns the caption track as timestamped JSON.
The prompt was editor-reviewed; no completed build is recorded.
The honest tradeoff
why people still pay
what you lose
xstaying unblocked when YouTube rate-limits caption fetches
xsearch, channel and playlist endpoints
xreliability at bulk volume
xan SLA and support when YouTube changes something
Start with existing software
prior art · use these instead of building, if you'd rather
EVIDENCE LEDGER
What this page can prove
The verdict judges replaceability. The evidence level records what DeepFeather actually checked.
The prompt was editor-reviewed; no completed build is recorded.
Starter · monthly subscription, credit-based
known limits · staying unblocked when YouTube rate-limits caption fetches; search, channel and playlist endpoints
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questions
Can AI replace TranscriptAPI?
Possibly for a narrower core workflow, but this catalog judgment is not a verified build. Expected gaps include: staying unblocked when YouTube rate-limits caption fetches, search, channel and playlist endpoints. Validate the prompt against your own acceptance criteria before committing.
How much does TranscriptAPI cost?
TranscriptAPI is listed at about $5/month (Starter, checked 2026-07-31), or $60 per year. This is a pricing reference, not evidence of a completed replacement or realized savings.
What do I lose by replacing TranscriptAPI?
Honestly: staying unblocked when YouTube rate-limits caption fetches; search, channel and playlist endpoints; reliability at bulk volume; an SLA and support when YouTube changes something. If any of those are load-bearing for you, keep paying.
Is there an open-source alternative to TranscriptAPI?
Yes — youtube-transcript-api (open-source Python library for the core caption fetch). Using prior art is also a valid exit; the prompt is for when you want it exactly your way.