Document Processing
Document Processing Wrk Actions use AI and OCR to read, classify, and extract structured data from files — without manual data entry.
What it is
These Wrk Actions accept documents (PDF, PNG, JPEG, TIFF) and return text, tables, labeled fields, or specialized data from pre-built templates (invoices, government IDs, billing documents, and more).
Good for
- Accounts payable and invoice processing
- Identity verification from government-issued documents
- Extracting tables or labeled fields from contracts, forms, and reports
- Classifying document content, identifying entities, or analyzing sentiment in text
- Querying a document with natural language when field labels are inconsistent
What it does
- Retrieves all text or specific labeled fields from a document
- Extracts tables and line items from billing documents
- Identifies entities, sentiment, and specific pages within multi-page files
- Runs pre-built extraction templates for common document types (Quebec health cards, US government IDs, birth certificates, and more)
- Accepts custom extraction when fields are clearly labeled on the document
Go deeper
Reference
- Document Processing reference
- Retrieve details from a document — general-purpose labeled-field extraction
- Retrieve all text from a document
Related concepts
- AI in Wrkflows — document extraction patterns and when to add Human-in-the-Loop review