Stop wasting hours on video noise. TubeTranscript is an edge middleware that parses YouTube videos into pure semantic signal (JSON, Mindmaps, Dopamine Hooks) in 4.2 seconds. Built for developers, AI Agents (via MCP), and humans who demand maximum cognitive bandwidth. Zero-hallucination.

Hey Product Hunt! 👋 I'm Kenji, Chief Engineer at TubeTranscript. The internet is suffering from severe information bloat. AI builders and founders are burning hours of their lives and massive token costs trying to parse noisy, unstructured YouTube videos. We decided to fix this at the physics level. TubeTranscript is not a "summarizer". It is a Data Reactor. We built an edge middleware that ingests hours of video and outputs pure, zero-hallucination RAG-ready payloads (JSON, Mindmaps, Action Items) in ~4.2 seconds. ⚡ Built for Machines: Seamlessly plug into your AI Agents via our MCP server, Cursor, or n8n. ⚡ Built for Humans: Maximize your cognitive bandwidth. Get the signal, skip the noise. 🎁 PH Exclusive: Use code ORBITAL_PH for 1 month of unlimited API processing on our Pro Tier. I'm here all day. Drop your hardest, most complex YouTube podcast link below and let’s test the speed limits of our reactor together. What specific RAG use cases do you see for your agents? Let's talk architecture! 👇

Hi Product Hunt! I'm Kenji, maker of TubeTranscript.

Most transcript tools only read captions, so they fail on videos that have none. TubeTranscript uses captions when a video has them and transcribes the audio when it doesn't. You get clean paragraphs to copy, or TXT, SRT, VTT and JSON files.

A few things people use it for:

- pasting a long video into ChatGPT or Claude with one click

- turning a video into chapters, a description or Shorts ideas

- giving an AI agent YouTube access through our MCP server

It's free for 5 transcripts a day without an account. I'd love to hear which videos it fails on, so I can fix them.