
YouTube transcript API with search, channels, and playlists via REST or MCP.
By Tanmay Verma, Founder · Last verified 03 Jul 2026
In short
TranscriptAPI.com — YouTube transcript API with search, channels, and playlists via REST or MCP. Best for Developers building AI content pipelines with video context, Researchers analyzing YouTube video datasets at scale, Content creators repurposing video transcripts for SEO or summaries. Free to start; paid plans from $12/mo.
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A solid, well-documented YouTube transcript API with fair pricing and MCP/agent integrations. Best for developers who need reliable access at scale without scraping hassles. The free tier is generous enough for testing but limited for production.
Last verified: July 2026
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6 mentions across 1 source (Hacker News).
How likely is TranscriptAPI.com to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →TranscriptAPI.com provides a simple REST API and Model Context Protocol (MCP) integration for extracting multilingual, timestamped YouTube transcripts. It also offers search, channel browsing, and playlist extraction. The API returns data in JSON format with a median response time of 49ms, processing over 500K transcripts daily. Targeted at developers building AI pipelines, content indexing, or research tools, the service powers 15M+ transcripts per month for production users. It includes AI agent skills for LangChain, n8n, and MCP, enabling seamless integration with AI models. The API requires an API key in the Authorization header. Pricing is based on credits: 1 credit per transcript or search request. Plans include a free tier with 25 credits, and paid plans starting at $12/month for 500 credits. Unlike typical scrapers, TranscriptAPI is built for reliability at scale, with enterprise-grade infrastructure supporting 11M+ transcripts monthly for some clients. It also provides a YouTube MCP server for direct integration with AI assistants like Claude, Gemini, and ChatGPT.
TranscriptAPI is a focused tool that solves a real pain point: reliably extracting YouTube transcripts without fighting blocks or rate limits. Its 49ms median response time and 500K daily transcripts processed are impressive technical benchmarks. The MCP integration—enabling AI assistants like Claude and ChatGPT to pull transcripts conversationally—is a standout feature that sets it apart from simpler scrapers. We'd reach for this when building AI pipelines that need video context, such as summarizers, knowledge bases, or research datasets. The pricing is reasonable: free tier with 25 credits for trial, then $12/mo for 500 credits. For heavy users, the $149/mo Business tier offers 10,000 credits, which works out to ~$0.015 per transcript—competitive vs. building in-house. Where it bites: credits burn quickly if you're doing heavy search or batch processing. A single channel browse or playlist extraction costs 1 credit per video, so a 100-video playlist will cost 100 credits. Also, the tool lacks a graphical UI—it's API-only, so non-developers may struggle. Real-time captioning and live streams aren't supported. Compared to alternatives like youtube-transcript-api (open-source) or ScrapingBee, TranscriptAPI offers better reliability and built-in search, channel, and playlist endpoints. The MCP support is unique. However, if you only need occasional transcripts and have a small budget, the open-source route may suffice.
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