Reducto Deep Extract Leads Benchmark on Complex Document Extraction

A comprehensive benchmark study, commissioned by micro1, evaluated six major document extraction products against complex real-world scenarios involving 225 documents with over 88,700 fields each. Reducto Deep Extract emerged as the top performer across all evaluation dimensions, achieving 100% coverage, 99.6% precision and recall, and 99.3% leaf accuracy, without any failures. The study highlighted the shortcomings of existing benchmarks, which often rely on synthetic or selectively chosen documents, and underscored the importance of reliable extraction at scale. While Reducto Deep Extract successfully completed all documents and preserved high accuracy, other systems like GPT-5.5 and Gemini 3.1 Pro struggled with coverage and recall, demonstrating the challenges faced by current models in handling complex, large-scale extractions.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.