Insights, tutorials, and updates from our team
Turn a YouTube video into a podcast-ready workflow without pretending transcripts are finished audio. Use TranscriptAPI to extract the source text, then shape it into scripts, show notes, newsletters, and downstream podcast production.
By TranscriptAPI Team
Read articleA developer guide to the overloaded transcription API category: when to use a YouTube transcript API, when to use speech-to-text ASR, and when an uploaded-file transcription workspace is the better fit.
By TranscriptAPI Team
A practical JavaScript and TypeScript guide to fetching YouTube transcripts with fetch, axios, typed responses, retries, and safe server-side routes.
By TranscriptAPI Team
LangChain's built-in YouTubeLoader wraps a scraper that breaks in production. Replace it with a custom TranscriptAPI-backed loader in about 50 lines, then build a knowledge base that ingests entire channels and answers questions with source citations and timestamps.
By Nikhil Kumar
Build three n8n workflows for YouTube transcripts: a single-video pull, an overnight bulk batch from a spreadsheet, and a channel monitor that fetches new uploads automatically. TranscriptAPI returns each transcript in about 49ms, so no browser or extension is involved.
By Nikhil Kumar
A fair developer-focused comparison of TranscriptAPI and SearchAPI for YouTube transcripts, YouTube data workflows, pricing, MCP, and production use.
By TranscriptAPI Team
A fair developer-focused comparison of TranscriptAPI and SerpApi for YouTube transcripts, search, response shape, MCP, pricing, and production workflows.
By TranscriptAPI Team
A fair developer-focused comparison of TranscriptAPI and YouTube-Transcript.io for API access, browser extraction, bulk workflows, pricing, MCP, and production use.
By TranscriptAPI Team
A developer guide to YouTube Data API quota, captions endpoint costs, and transcript-heavy workflows, with compact examples and source links.
By TranscriptAPI Team
