Insights, tutorials, and updates from our team
Migrating from the youtube-transcript-api library to TranscriptAPI takes about 15 minutes. You replace the import and the single extraction call with one HTTP request; the response keeps the same text/start/duration shape, so your summarization and storage code stays exactly as it is.
By TranscriptAPI Team
TranscriptAPI goes deep on YouTube with a native MCP server and seven endpoints; Supadata spreads across YouTube, TikTok, Instagram, and more. An honest 2026 side-by-side on pricing, speed, features, reliability, and which one fits a YouTube-only versus multi-platform project.
By Nikhil Kumar
Seven YouTube transcript APIs and libraries evaluated for 2026 across pricing at three volume tiers, median response time, production reliability, feature breadth, and developer experience — with a comparison table and a clear recommendation for production work.
By Nikhil Kumar
YouTube transcripts are an underused source for RAG: they arrive pre-segmented with timestamps, cover knowledge that never gets written down, and span 800M+ videos. Here's how to chunk them by timestamp, embed to Chroma or Pinecone, and answer questions grounded in real video content.
By Nikhil Kumar
AI agents are blind to YouTube's 800M+ videos unless you give them a data bridge. MCP connects agents to YouTube transcripts, search, and channel data through TranscriptAPI — here's why it matters and how to wire up Claude, ChatGPT, LangChain, and LlamaIndex.
By Nikhil Kumar
Connect Claude.ai or Claude Desktop to YouTube transcripts through TranscriptAPI's MCP server in under 10 minutes. After setup Claude fetches any public video's transcript on command, and five ready-to-run workflows take you from conference summaries to full channel analysis.
By Nikhil Kumar
The PyPI youtube-transcript-api package breaks on cloud servers when YouTube changes its pages. This quick start uses TranscriptAPI's REST endpoint instead — get your first Python transcript in about five minutes with copy-paste code that keeps working in production.
By Nikhil Kumar
Three working ways to pull YouTube transcripts in production: a one-line cURL command to test, a Python batch script with per-video error handling, and a JavaScript version for Node and the browser — each a single REST call that returns clean text in milliseconds.
By Nikhil Kumar
A complete guide to accessing YouTube transcripts: why the official Data API can't return captions for public videos, how YouTube actually stores caption data, the four extraction approaches in 2026, and working code in cURL, Python, and JavaScript.
By Nikhil Kumar
