Document type
PDF Intelligence at Scale
Extract structured data from millions of PDFs with AI that understands context, layout, and meaning.
At a glance
Process and extract data from PDF documents of any complexity, including scanned and image-based PDFs. OdysseyGPT handles pdf documents with citation-backed extraction, workflow-ready outputs, and review paths for low-confidence cases.
Key Takeaways
- Common extraction targets include Text content and paragraphs, Tables and structured data, Headers and footers.
- Direct text extraction from digitally-created PDFs with perfect accuracy and structure preservation.
- Extract clauses, parties, dates, and obligations from legal contracts.
Common fields
- Text content and paragraphs
- Tables and structured data
- Headers and footers
- Images and diagrams
- Form fields and annotations
- Metadata and properties
Processing capabilities
- Native PDF Parsing: Direct text extraction from digitally-created PDFs with perfect accuracy and structure preservation.
- OCR Processing: Advanced optical character recognition for scanned PDFs with automatic quality enhancement.
- Table Extraction: Intelligent detection and extraction of tables, even complex multi-page tables with merged cells.
- Form Recognition: Identify and extract data from PDF forms, including fillable and flattened forms.
- Layout Analysis: Understand document structure including columns, headers, footers, and reading order.
- Embedded Content: Extract images, attachments, and embedded files from PDF documents.
Questions answered
What should teams extract from pdf documents?
Start with Text content and paragraphs, Tables and structured data, Headers and footers, Images and diagrams, then expand into workflow-specific fields as your downstream systems require more structure.
What are the common risks when automating pdf documents?
Direct text extraction from digitally-created PDFs with perfect accuracy and structure preservation. Advanced optical character recognition for scanned PDFs with automatic quality enhancement.
What is the recommended automation flow?
Ingest the document, extract the fields that matter, route low-confidence outputs for human review, and publish the validated output into the target workflow or system of record.