fileAI gives developers structured, zero-shot data from any file. Built for LLMs and AI agents, our AI OCR transforms unstructured files into clean, enriched, and validated data, ready for downstream automation via configurable UI, API or MCP.
When we started fileAI, the bottleneck wasn’t AI — it was the messy, manual work still required to prepare data before AI could do anything useful.
We built fileAI to solve that: a way to extract, enrich, and verify structured data from files in a single call. No templates. No brittle rules. Just clean, fit-for-purpose output.
Our public API and platform combine a powerful classification engine with AI schema logic — so developers can parse any file, enrich them across systems, and get zero-shot cited, structured data ready to flow directly into agents, LLMs, or downstream automation.
What’s under the hood: Single-call data transformation — From raw file to clean, verified zero-shot output AI schemas — Customisable, enrich with cross-file context, Internet search, APIs, or MCP Built for LLMs — Output is structured, consistent, and orchestration-ready Trusted at scale — Used by KFC, Toshiba, MS&AD and 400M+ files processed Fast and flexible — Self-serve, pay-as-you-go, and zero setup required
This is the same infrastructure that powers enterprise automations in finance, insurance, logistics, and legal — now open to every developer. Can’t wait to see what you build with it.
Happy to answer any questions and hear your feedback!
