CAP-01Active
Complex Table Extraction
Preserves row and column structure, merged cells, and nested tables. Understands context-dependent formatting and reconstructs data relationships.
Agentic document parsing that goes beyond OCR. Handles complex tables, nested headers, handwritten text, embedded images, and multi-page layouts across 90+ file formats with layout-aware intelligence.
PDF, scans, images, office files from any source.
Layout-aware multimodal analysis of text, tables, and media.
Markdown, JSON, or raw text, configured per document type.
Three simple steps from raw document to structured, intelligent output.
Upload documents directly, connect via API, or integrate with cloud storage. Support for files from any source—local, remote, or streaming.
Multimodal analysis extracts text, tables, images, and layouts with awareness of document structure. Handles complex nested headers, merged cells, and cross-page context.
Receive structured markdown, JSON, or raw text. Configure output depth, format per document type, and apply filters or transformations post-parse.
Ingest Parse Output Markdown, JSON, or raw text
Agentic parsing that understands layout, context, and meaning.
Preserves row and column structure, merged cells, and nested tables. Understands context-dependent formatting and reconstructs data relationships.
Reads handwritten notes, signatures, and annotations on any document. Works across pen styles, ink colors, and varying paper textures.
Extracts meaning from charts, diagrams, technical drawings, and embedded photos. Describes visual context alongside text.
Cross-references content across pages, maintains narrative context over 100+ page documents, and resolves ambiguity with document-wide intelligence.
Configure parsing depth, page ranges, output format, and extraction rules per document type. Apply custom logic or filters to raw results.
Processes 100+ languages with automatic detection and seamless handling of mixed-language documents. Preserves formatting intent across alphabets.
Parse any file type your users work with.
13 core formats 90+ supported in production
Parsing at scale across formats and languages, with sub-second throughput per page.
Document parsing that adapts to your domain’s requirements.
Extract and reconcile line items from invoices, contracts, and quarterly reports. Understand amended clauses and multi-party agreements.
Parse claim forms, supporting photos, medical records, and police reports. Correlate information across 50+ pages of documentation.
Process patient intake forms, lab results, and handwritten prescriptions. Ensure HIPAA-compliant data extraction and no information loss.
Extract schematics, parts lists, and procedural steps from engineering documentation. Maintain cross-references and diagram context.
Parsing integrates seamlessly with classification, extraction, and understanding.
Use Document Parsing standalone or combine it with Document Classification, Structured Extraction, and other Document AI services. Route documents based on parsed metadata, extract specific fields post-parse, or enrich understanding across the entire pipeline.
Connect to your data sources, storage backends, and downstream systems. RESTful APIs, webhooks, and SDK support for Python, Node.js, and more. Scalable architecture built for production workloads.
Join the teams building document intelligence with assistents.ai Document Parsing.