Extend AI

A document processing infrastructure for AI agents that parses, extracts and segments complex documents using dedicated vision models. The official claims it processes millions of pages daily and leads on benchmarks, making it easy for engineering teams to integrate.

AI Document Generator#Document Parsing#Data Extraction#AI Infrastructure

Updated: 2026-10-26

What is Extend AI?

Extend AI is a document processing infrastructure for AI agents and data pipelines. According to its official website, it can use dedicated visual models to read documents of any layout, parse, extract and split the most challenging documents with high precision. It enables reliable processing workflows to be launched in "minutes instead of months", turning document parsing into a stably callable service rather than a temporary script.

Who is it for?

Teams that use AI Agents to process complex layout documents such as contracts, invoices, and reports, where parsing quality often determines the upper limit of the overall effect.
Developers and data teams building RAG systems or document Q&A solutions that require high-quality parsing, avoiding the inefficiency of "garbage in, garbage out".
Engineering teams in document-intensive industries such as finance, real estate, logistics, and healthcare, where batch processing is a daily necessity rather than an occasional task.
Companies that want to use a managed infrastructure to replace their self-built parsing pipelines to reduce maintenance costs and investment in model iteration.
Archives and compliance teams that need to convert scanned documents into retrievable structured data.

Key features

High-precision Parsing

Reads complex layouts, reading order and field relationships using dedicated visual models, and the official claims it achieves 95.7% on the RealDoc-Bench document Q&A benchmark.

Extraction and Segmentation

Extract fields and segment content from documents such as PDFs for downstream question answering and workflows, with structured output for easy integration with databases.

Confidence Scoring

Marks uncertain outputs and enables the deployment of multi-round review agents to identify issues before production, reducing error risks and rework.

Multi-processing Modes

Offers various modes such as fast, low-cost batch processing and maximum precision, which can be switched according to scenarios to balance latency, cost and accuracy.

Developer-friendly

Offers Python, TypeScript, Java, Go, CLI and API; the official claims it can process millions of pages per day, enabling quick engineering integration.

Production-grade toolbox

The official website emphasizes "batteries-included", covering everything from parsing and confidence scoring to review, shortening the launch cycle.

How to use Extend AI

1First, verify the parsing accuracy for your document layouts using the official benchmarks and examples before deciding on integration; don't just rely on promotional figures.
2For key fields, it is recommended to enable confidence scoring and manual review to avoid directly using low-confidence results for decision-making or external release.
3When processing documents containing Personally Identifiable Information (PII), confirm the data retention and compliance policies, and control the retention period and access.
4The official benchmark figures are derived from its public evaluations; the actual performance is subject to your documents; the packages may be subject to adjustment; verify before inquiring about prices.