LlamaIndex Blog Posts

Introducing ParseBench: The First Document Parsing Benchmark for AI Agents

Document parsing is the foundation of every AI agent working with real-world files, yet no benchmark has measured parsing quality the way agents actually need it. ParseBench is a new open-source benchmark of ~2,000 human-verified enterprise document pages with over 167,000 test rules, evaluating par

LlamaIndex Newsletter 5-19-26

Register for our ParseBench webinar to learn how to evaluate the accuracy of your document ingestion pipelines. Two new open-source repos for keeping document parsing fully local, and a quick recap from our recent events at Singapore and NYC.

LlamaIndex Newsletter 2026-04-21

This week: we launched ParseBench, the first document OCR benchmark built for AI agents, with deep-dive videos on three of the five new accuracy metrics (TableRecordMatch, ChartDataPointMatch, and Content Faithfulness). Plus — LiteParse gets its official home on the site after crossing 4.3K GitHub s

LlamaIndex Newsletter 2026-04-14

This week we're spotlighting ParseBench — the first open-source document OCR benchmark built for the agentic era — alongside LiteParse's explosive growth (4K+ GitHub stars in 3 weeks), a structure-aware PDF QA pipeline with LanceDB, and a new partnership with Auth0 on secure document agents. Plus: t

OCR for KYC: Why Standard Text Extraction Falls Short of Compliance Requirements

Standard OCR was built for clean typed text, not the worn passports, angled phone photos, and multilingual identity documents that real KYC intake looks like. This guide covers why standard text extraction falls short of compliance requirements, where the errors propagate, and what agentic OCR does

Mortgage Document Automation: Transforming Loan Processing

Mortgage lending depends on accurate document processing, but most workflows still rely on manual review or template-based systems that break down as document variability increases. This guide covers how mortgage document automation works, what a production-ready workflow actually requires, and wher

Income Verification API: How to Automate Document-Based Income Checks at Scale

Income verification is straightforward for salaried employees with standard pay stubs. The hard cases are everyone else: gig workers, freelancers, contractors, and self-employed individuals whose income lives in tax returns, bank statements, and platform earnings summaries. This guide covers how inc

KYC Automation: How to Replace Manual Verification with Scalable, Compliant Workflows

Manual KYC takes days, scales poorly, and produces inconsistent results under volume pressure. Automated KYC handles document extraction, identity verification, sanctions screening, and risk scoring at a fraction of the cost, with greater consistency and a complete audit trail. This guide covers how

Why Single-Pass Extraction Fails and What Deep Extraction Actually Solves

Single-pass extraction has no accountability loop. It extracts once, ships whatever it produced, and has no way to flag what got dropped. This guide covers why that breaks on real-world documents, what deep extraction actually does differently, and when the architecture shift is worth it.

AI Document Classification: A Practical Guide to Automated Sorting and Tagging

Most organizations underestimate how much time gets spent before any real document processing happens, figuring out the nature of the document, where it belongs, and what should happen to it next. At scale, that sorting layer becomes a serious bottleneck. This guide covers how AI document classifica