Extract (YC P25) – Fast, accurate document parsing

Show HN: Extract (YC P25) – Fast, accurate document parsing

Extract (YC P25) – Fast, accurate document parsing operates in show hn launch.

Profile

Hey HN, we’re Soami, David, and Achyut, co-founders of Extract. Extract parses documents into structured data (text, tables, and figures). Teams use it for RAG, feeding llms, and populating databases and forms. Today we’re launching our first OCR model, now used in Extract.You can try some examples here or upload your own (no signup required) to test it out: https://extract.page/demoWe built Extract out of YouLearn, where we were processing 70m+ pages and slow parsing was the bottleneck. We started with a purely algorithmic pipeline that pulled native text straight from the document and only ran OCR on pages that needed it. It was cheap and fast, but once we put it in front of our Extract cu

The company sits in the show hn launch segment, where it competes on its core product or service.

The company is listed at the Show HN launch stage of development.

Website: extract.page