Reducto

Reducto is the document layer for teams building AI products on messy real-world files: it turns PDFs, images, spreadsheets, presentations and more into accurate, structured, LLM-ready data. Parsing, structured extraction, splitting, classification and editing APIs handle complex layouts, tables, handwriting, multilingual content, charts and embedded references — and their new r-1 model claims state-of-the-art parsing benchmarks.\n\nThe customers are the tell: "leading AI teams" building RAG pipelines and agentic workflows, where document parsing accuracy is the silent bottleneck that caps everything downstream. Garbage parsing caps model performance no matter which LLM you pay for.\n\nWho it's for: engineering teams whose RAG quality is bleeding out through bad PDF extraction, enterprises digitizing document-heavy workflows, and anyone comparing parsing vendors — Reducto's benchmark page invites exactly that comparison. Pay-as-you-go with free tier to test on your worst documents. Run your gnarliest scanned, handwritten, table-dense file through it before deciding; that's where parsers truly separate.