API for extracting transcripts from video and podcast platforms
Video and audio transcripts, structured for AI · One REST API and MCP server that turns social video and podcasts into timestamped text. 100 free credits a month. · The best sources don't write. They talk. · What you can pull with one key · Every platform, inside your AI · Keeps working when platforms fight back
TranscriptFetch is a service that provides structured transcript data from videos and podcasts across multiple platforms including YouTube, TikTok, Instagram, Spotify, and Apple Podcasts. It serves developers and AI applications needing clean, machine-readable text content from audio-visual sources. The product addresses the challenge of extracting and normalizing transcript data from disparate platforms with different APIs and formats. It provides a unified interface through REST API or Model Context Protocol (MCP) server, eliminating the need to build custom scrapers for each platform. This saves development time and ensures consistent data formatting for downstream AI processing, content analysis, and accessibility applications.
| Type | Agent |
| Section | Automation |
| Pricing | paid |
| Platform | Command line |
| Systems | cli, api, web |
| Protocols | mcp |
| Site language | en |
| Vendor | Tasha |
| GitHub | TranscriptFetch/mcp-server |
| Rating | 0.00 (0 reviews) |
| Views | 11 |
| Launched | 2026-08-14 |