document-ingest

To extract content from a scanned PDF, this document ingestion process applies OCR fallback to capture text, then transforms the file into structured knowledge pages with linked entities, creating a searchable knowledge graph.

Processing and classifying multiple DOCX files and emails for legal workflows is handled by intelligent document ingestion, which automatically identifies document types and extracts domain-specific entities like deadlines, amounts, and legal references.

Yes, you can use document ingestion to extract entities like organizations and amounts from spreadsheets and CSV files. The process parses tabular data and links recognized entities into a unified knowledge brain.

Yes, this document extraction approach preserves provenance when linking extracted entities. It creates linked brain pages that maintain source attribution across legal, tax, medical, and other professional domain workflows.

You can automatically identify document types and extract legal references from uploaded contracts by running them through the intelligent classification and extraction phase of the document ingestion process.

The document extraction process relies on OCR fallback specifically for scanned documents where standard text extraction fails, ensuring accurate content capture for professional domain analysis without manual transcription.