FileAI vs Unstructured.io vs LlamaIndex: Best Document Extraction for AI Agents in 2026

FileAI launched on Product Hunt in July 2026 claiming 28x more accurate data processing than AWS Textract and Google Document AI with zero-shot extraction via MCP-native integration. This comparison covers FileAI (new MCP-native zero-shot extraction, Beethoven OCR, processed 400 million files for KFC/Toshiba/MS&AD), Unstructured.io (established enterprise standard with pre-built connectors for 20-plus file formats, API-first, SOC 2 compliant), and LlamaIndex (developer-first open-source extraction layer with LlamaParse, LlamaHub connectors, and flexible extraction pipelines). Includes accuracy benchmarks (FileAI claims 28x improvement over hyperscalers, SaaSNext internal testing showed 94.8% first-pass classification accuracy), MCP integration comparison (FileAI is MCP-native, Unstructured.io requires custom MCP wrapper, LlamaIndex needs intermediate tool layer), cost analysis per document at scale, enterprise feature comparison (security, compliance, SLAs), real-world use cases, and a decision framework for choosing the right extraction tool. Verified from FileAI product page, Unstructured.io documentation, LlamaIndex documentation, KFC and Toshiba case studies, and SaaSNext benchmarks.