LlamaIndex Launches ExtractBench: Evaluating 14 Document Extraction Systems
llama_index · x · 2026-08-13
LlamaIndex introduced ExtractBench to test document extraction systems on non-born-digital documents (e.g., 1950s regulatory filings, hand-filled tax forms, scans).
The evaluation revealed that mainstream systems have different blind spots:
- Codex: Reads scans and handwriting above 93%, but drops to 80% on rotated or image-only pages.
- Specialized APIs: Fine on rotation and handwriting, but only 81% on scans.
- Gemini 3.5 Flash: Accuracy drops from 88.6% to 71.1% the moment a page is scanned.
To solve this, LlamaIndex launched the new Agentic Plus extract tier, achieving 95.9%, 93.9%, and 93.8% accuracy across rotated, scanned, and handwritten documents respectively, effectively eliminating blind spots.
More from Apps
- AI Digital Coworkers Emerge as New Meta: OpenAI, Grok and Others Join In — tushaarmehtaa · 2026-08-13
- Medical AI Model Deployed in Hospitals: Weighing Multimodal Architecture Routes — aigclink · 2026-08-13
- Testing 6 AI Interview Assistants: All Fail Anti-Detection Checks — TheMaerty · 2026-08-13
- Understanding Gemini's Image Handling: Should You Resize Before Uploading? — Cozzzycoder · 2026-08-13
- Dev Builds Podcast Tool to Record with Synthetic Translation Across Languages — StewartalsopIII · 2026-08-13
- NYT Tests Pangram: A Highly Accurate AI Text Detector — nordicinst · 2026-08-13