---
title: "Document Processing Infrastructure for Healthtech | Extend"
description: "Production-ready document processing built for healthtech teams. Parse prior auths, claims, EOBs, and 1,000+ page charts with 99% accuracy—in minutes, not months."
canonical: https://www.extend.ai/healthtech
---

# Document Processing Infrastructure for Healthtech | Extend

## Production-ready document processing

Parse, extract, and split your hardest documents with unmatched accuracy. Ship reliable document agents in minutes, not months.

[Claim 10k free credits](https://dashboard.extend.ai/)

## Trusted by leading AI healthtech teams

SamaCare, Counsel Health, Amgen, Flatiron, Character, Daydream

## Deploy Document Processing in Mission-Critical Flows

- **Parse Dense Layouts** — CMS-1500s pack dozens of fields into tight grids. Our OCR + VLM pipeline detects every element type regardless of alignment shifts or form variations.
- **Handle Hundreds of Rows** — EOBs contain nested tables, spanning cells, and inconsistent formatting across payers. Multiple array extraction strategies return clean output with precise bounding boxes for every value.
- **Decode Messy Handwriting** — Standard OCR chokes on physician handwriting. Our hybrid pipeline routes handwritten elements to purpose-built VLMs trained to interpret real-world medical scrawl.
- **Detect Checkboxes Reliably** — Prior auth forms are filled with checkboxes, X-marks, and partial fills. Get accurate field detection with confidence scores on every extraction and automatic flagging when human review is needed.
- **Scale to 1,000+ Page Files** — Patient charts span years of visits, labs, and notes. Smart chunking and merging strategies ensure accurate extraction across the entire record without token limits or context cutoffs.

## What leading AI teams say about Extend

Customers:

> We were able to replicate 6 months of work in 2 weeks (!) with Extend. We're now scaling this up across all 5 million people with cancer in our network, truly transforming our work against this disease.
>
> — George Ho, SR ML Scientist, Flatiron Health

> Extend's technology helped us turn an area of weakness into a strength in just weeks, ultimately letting Providers continue to live in the messy world of unstructured data they're used to, with the clarity of near-perfect extraction in our user experience.
>
> — Jon Westlake, Director of Product, SamaCare

[Read more](https://www.extend.ai/resources/samacare-spotlight)

> Extend enabled us to scale our operations efficiently. Their team jumps on issues immediately and provides excellent support.
>
> — Haran Jeyachandra, Chief of Staff, ZayaCare

[See all customer stories >](https://www.extend.ai/customers)

## The highest performance document APIs for your agents and pipelines. Processing millions of pages every day.

APIs:

### 01 / parse

Convert unstructured documents into context for agents.

- **Layout detection** — Advanced layout model detects tables, checkboxes, images, handwriting, and signatures on every page.
- **Specialized vision models** — A hybrid computer vision + vision-language model pipeline routes each element to purpose-built models.
- **Multiple performance modes** — Toggle between performance modes optimized for speed, cost, or accuracy.
- **Handle every file** — 35+ file types, 100+ languages, and 4 chunking strategies — all through one API.

### 02 / extract

Extract structured data from documents into any schema.

- **Scale to 1,000+ page files** — Smart chunking & merging strategies ensure accurate extraction without hitting token output or context limits.
- **Extract large tables** — Choose from multiple array extraction strategies, capable of extracting 1,000+ rows accurately across 100s of pages.
- **Precise bounding boxes** — Dedicated citation model generates granular citations for every extracted value, even inferred ones.
- **Low latency processing** — Fast mode extraction for real-time use cases.
- **Model-agnostic by design** — New foundation models are continuously benchmarked and integrated. Evaluate performance and upgrade versions safely.

### 03 / split

Segment multi-document files into individual subdocuments.

- **Large document splitting** — High-precision splitting that maintains accuracy on 2,000+ page files.
- **Instance detection** — Detect unique identifiers to separate multiple instances of the same document type, like splitting 50 invoices by invoice number.
- **Intelligent boundary handling** — Smart overlap handles mid-page boundaries while keeping context intact.
- **Cost-optimized splitting** — Toggle cost-optimized splitting for bulk jobs, or high precision for tough files.

### 04 / classify

Classify documents into pre-defined categories.

- **Optimized for cost** — Deploy fast and cheap classification at scale with purpose-built classifiers, without compromising on accuracy.
- **Memory** — Multimodal retrieval system that learns from past examples to handle edge cases where prompting falls short.
- **Real time classification** — Toggle low-latency classification to give instant feedback to your users.

### 05 / edit

Detect form fields and fill them programatically.

- **Comprehensive field support** — Detect and fill in checkboxes, signatures, text fields, tables, dropdowns, multi-line paragraphs, and character-per-box inputs (like SSNs).
- **Dynamic form filling for agents** — Use natural language instructions to map data to the right fields automatically, no template required.
- **Template-based filling** — For static forms, detect field positions once and fill them at scale deterministically.
- **Reliability at any scale** — Fast, reliable results even on complex forms with hundreds of fields.

## Frequently asked questions

### Which healthcare documents can Extend process?

Any document your healthcare pipeline receives, extracted accurately at a per-page cost that holds up at production volume, with no templates to maintain. That includes CMS-1500 claim forms, explanations of benefits (EOBs), prior authorization forms, referrals, and patient charts, across every form variation and payer format. Teams like SamaCare, Flatiron Health, and Amgen use Extend for this.

### How does Extend read physician handwriting?

A hybrid pipeline routes handwritten elements to purpose-built VLMs trained to interpret real-world medical handwriting, while printed fields go through OCR.

### Can Extend process patient charts over 1,000 pages?

Yes. Smart chunking and merging strategies extract across the entire record, so charts spanning years of visits, labs, and notes never hit token limits or context cutoffs. Flatiron Health replicated 6 months of work in 2 weeks with Extend and is scaling it across the 5 million people with cancer in its network. [Read the Flatiron Health case study](https://www.extend.ai/resources/flatiron-case-study).

### How does Extend extract tables from EOBs?

Multiple array extraction strategies handle nested tables, spanning cells, and inconsistent formatting across payers, returning clean output with bounding boxes for every value. On LongArray-Extract, a public benchmark of 45 financial, clinical, and legal PDFs with up to about 2,200 rows each, Extend scored 99.2% mean accuracy, completed every document, and finished 2.8x faster than the closest peer, ahead of every document-AI platform and frontier model tested. [See the LongArray-Extract results](https://www.extend.ai/resources/long-array-extraction-benchmark).

### How do I know when an extraction needs human review?

Every extracted field returns a confidence score, and uncertain values, such as partial fills on prior auth checkboxes, are flagged automatically for human review. SamaCare built its prior authorization autofill on Extend in 3 weeks and now processes over 500,000 pages a month at 98% accuracy, including handwriting, signatures, and checkboxes. [Read the SamaCare spotlight](https://www.extend.ai/resources/samacare-spotlight).