Enterprise-grade parsing and extraction for complex document layouts
Document Intelligence transforms PDFs, Word files, scanned images, and spreadsheets into structured, queryable data. Purpose-built for enterprise documents with complex tables, multi-column layouts, and mixed content.
Accurately extract content from multi-column PDFs, nested tables, headers, footers, and footnotes. Handles real-world enterprise documents that break generic parsers.
State-of-the-art optical character recognition for scanned documents, handwritten notes, and photographs. Multi-language support with 99%+ accuracy on print text.
Automatically identify and extract tables, key-value pairs, and form fields into clean structured formats ready for analytics or downstream processing.
Convert document collections into searchable, chunked, and embedded knowledge bases optimized for retrieval-augmented generation and semantic search.
Ingest files via API, batch upload, or watched folders. Supports PDF, DOCX, XLSX, PPTX, images (PNG, JPG, TIFF), and scanned documents.
Layout analysis detects document structure — headings, paragraphs, tables, figures, and metadata — preserving semantic relationships between content elements.
Content is extracted into structured JSON, Markdown, or tabular formats. Tables retain row-column relationships; forms output clean key-value pairs.
Processed content is automatically chunked, embedded, and indexed for vector search, full-text search, or direct API access by downstream applications.
Convert millions of documents into structured, searchable intelligence that feeds analytics, compliance, and AI applications.
Purpose-built models for enterprise documents outperform generic OCR and parsing tools on complex layouts like financial reports and contracts.
Extracted content is automatically chunked and embedded for RAG pipelines, eliminating weeks of custom preprocessing work.
Handle millions of pages per day with distributed processing. Queue management and prioritization ensure SLA compliance.
Document Intelligence combines computer vision models for layout detection with specialized extraction models for text, tables, and forms. A multi-stage pipeline ensures each document element is processed by the optimal model, with results merged into a unified structured output.
A legal team at a multi-billion-dollar multinational handles a large volume of cross-border contracts, with long manual review cycles, risk findings that could not be traced, and standards that varied by reviewer. Amway built a unified legal knowledge brain on MOI that flags risk clauses, missing clauses and inconsistent definitions in seconds.
MOI preserves tables, flowcharts, charts, SmartArt, and embedded images across PDF and Office files, creating structured, traceable inputs for knowledge bases and Agents.
MOI digitizes survey reports, scans, cross-page tables, and drawings while preserving layout semantics and source evidence, making historical archives searchable and reviewable.
Transform unstructured documents into structured, searchable, AI-ready intelligence at enterprise scale.