Extract
extract.pageAn API that rapidly parses text, tables, and figures from documents into structured data with high accuracy.
An API that rapidly parses text, tables, and figures from documents into structured data with high accuracy.
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Extract provides a powerful API for converting unstructured document data into organized, usable formats. It boasts superior text accuracy and speed, claiming to be at least 2x faster than competitors while costing just $3 per 1,000 pages. The service handles various inputs like PPTX/DOCX and offers detailed outputs including source bboxes, OCR confidence, and per-span data. This makes it ideal for industries like healthcare to process EOBs, claims, and clinical notes with HIPAA + BAA compliance.
Developers, data engineers, and businesses, particularly in healthcare, who need to automate the extraction of precise, structured data from a high volume of diverse documents for analysis, compliance, or workflow automation.
Backed by Y Combinator and already processing over 70 million pages, Extract demonstrates significant traction and a proven solution for a critical business pain point. Its focus on accuracy, speed, and specific compliance needs like HIPAA + BAA for healthcare provides a strong competitive edge and clear market wedge.
AI-assisted scores estimated from public website information only.
FounderDeck estimates Extract at $1,500,000 due to its clear value proposition as a fast, accurate, and cost-effective document parsing API. The Y Combinator backing, explicit traction of over 70 million pages processed, and a transparent pricing model ($3 per 1,000 pages) provide strong signals of market validation and early success. Its specialized focus on healthcare, including HIPAA and BAA compliance, offers a significant and defensible market wedge, indicating strong growth potential.
Valuation date: 2026-06-05. Estimate generated from public signals.
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