# Reducto Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/reducto
> Markdown URL: https://aitinkerers.org/technologies/reducto.md
> Technology record last updated: 2026-03-11T19:23:33Z
> Generated: 2026-09-22T03:41:29Z

Reducto converts complex, unstructured documents into clean, LLM-ready data with high-fidelity layout preservation.

Standard parsers fail on multi-column layouts, nested tables, and embedded charts. Reducto fixes this by using vision-based models to ingest PDFs and images, returning structured JSON or Markdown that retains the original document's logic. It handles 100-page documents in seconds (perfect for RAG pipelines) and offers specialized features like automated table extraction and image captioning. Developers integrate the API to eliminate manual cleaning and prevent hallucination caused by fragmented data.

- Official technology site: https://reducto.ai
- Public AI Tinkerers demos and talks: 0
- Result page: 1 of 1

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