AI/RAG

Video-to-Embedding Batch Processor

Turn a batch of videos into vector embeddings.

AI Agentn8nMake · soonZapier · soon

What it does

It transcribes each video, splits the text into overlapping chunks, and creates an embedding per chunk — ready to load into a vector store like pgvector.

How it works

  1. 1You give it a batch of videos.
  2. 2It transcribes each one.
  3. 3It splits the text into chunks and makes an embedding per chunk.
  4. 4You get rows ready for a vector database.

What you'll need

Using an AI agent

Just your TranscriptAPI key. Your agent is the brain — it does the thinking, so there's no separate AI key to buy.

Using n8n, Make or Zapier

  • A TranscriptAPI key (free)
  • An AI key, e.g. OpenAI, for the thinking steps

Get it for your platform

AI Agent skillSkill.md ↓n8n workflowJSON ↗
Make.comcoming soon
Zapiercoming soon

Free & open source (MIT) · View on GitHub ↗

How to use it

  1. 1Download the skill file (Skill.md) above.
  2. 2Add it to your AI agent (Claude, Codex, OpenClaw, Hermes, or any agent that reads skill files).
  3. 3Give the agent your TranscriptAPI key so it can fetch transcripts.
  4. 4Ask the agent to run the task. It does the thinking itself — no separate AI key needed.

Get your free TranscriptAPI key

100 free credits, no credit card. Power this workflow and 30+ more.

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