Extend

What it does

Extend provides a suite of document processing APIs that parse, extract, split, classify, and edit unstructured documents with high accuracy. The platform uses a hybrid computer vision and vision-language model pipeline to handle complex layouts, tables, checkboxes, handwriting, and signatures. It supports 25 file types, 100+ languages, and offers multiple performance modes (speed, cost, accuracy). Extend also includes a Composer Agent for automatic schema optimization, document workflows for multi-step pipelines, and a Studio & Evals interface for iteration and regression testing.

Who it is for

Extend is designed for AI teams and enterprises that need to process large volumes of complex documents reliably. It is used by companies like Brex, Mercury, Flatiron Health, Opendoor, Checkr, Vendr, and others across finance, real estate, logistics, and healthcare. The platform is suitable for developers building document agents, data extraction pipelines, and automated workflows.

Why it matters

Traditional document processing solutions often struggle with layout complexity and accuracy. Extend claims state-of-the-art performance on RealDoc-Bench, a benchmark of production documents, achieving 95.7% document Q&A accuracy, outperforming Gemini, Azure DI, and AWS Textract. By providing a batteries-included toolkit with confidence scoring, self-hosted deployment, and SOC 2/HIPAA/GDPR compliance, Extend enables teams to ship reliable document agents in minutes rather than months, reducing engineering overhead and maintenance costs.

Launch signal

Extend is a Y Combinator W23 startup. The company launched on Hacker News with the tagline "Turn your messiest documents into data." It has since gained traction with notable customers and released Parse 2.0, a layout-first parsing API, along with the RealDocBench benchmark.

Brand and naming

The name "Extend" suggests extending the capabilities of AI systems to handle unstructured data, positioning the product as an enabler rather than a standalone tool. The tagline "Turn your messiest documents into data" is memorable and directly addresses the pain point. The brand emphasizes production readiness and enterprise-grade security, appealing to technical decision-makers.