Document parsing
Converts complex files into structured data while preserving layouts and formatting.
An enterprise document platform that parses, extracts, classifies, splits, and structures complex files for AI workflows.
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Converts complex files into structured data while preserving layouts and formatting.
Extracts defined fields and entities into application-ready structures.
Separates mixed or bundled files into meaningful document units.
Categorizes documents so downstream workflows can route them correctly.
Processes tables, figures, and difficult page structures with spatial context.
Reads scanned pages, images, handwriting, and multilingual content.
Links extracted information back to its original position in the source.
Supports visual testing as well as scalable programmatic document processing.
Convert business documents into structured, citation-aware content for retrieval systems.
Extract tables and fields from statements, reports, and transaction records.
Parse contracts and case materials while preserving source references.
Classify, split, and route incoming files through operational systems.
Provide models with layouts, figures, tables, and text rather than flattened content.
Reducto is an agentic document platform that converts PDFs, images, spreadsheets, presentations, and other files into accurate, structured, LLM-ready data. It is built for AI teams and enterprises processing complex documents at scale.
Its APIs cover parsing, structured extraction, splitting, classification, and editing. Reducto handles challenging layouts, tables, handwriting, multilingual content, figures, formatting, bounding boxes, and citations, allowing downstream applications to retain more context than plain OCR text.