Agentic document parsing for AI teams that need enterprise accuracy
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.
The 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.
Who 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.
What it is
Agentic document parsing for AI teams that need enterprise accuracy
Pricing
Paid
Primary category
Developer Tools
Source code
Closed source / hosted
Reducto is one of many tools in its category. Before committing to it, weigh a few practical points that tend to decide whether a tool actually fits your work:
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