Pull structured data from PDFs, invoices, and scanned documents
Invoices arrive as PDFs. Contracts come as scanned images. Someone on the team copies numbers into a spreadsheet, makes typos, and spends more time fixing errors than the original entry took.
How the Data Extraction works
Upload a document or point the agent at a folder. It identifies the document type, applies the right extraction template, pulls out the fields you need, and validates them against expected formats. Clean records land in your system without human copying.
Specific functions:
- Classifies documents by type (invoice, receipt, contract, form)
- Applies OCR to scanned images and low-quality PDFs
- Extracts named fields like vendor, amount, date, and line items
- Flags records that fail validation for manual review
Why you need the Data Extraction
Accounts payable, procurement, and legal teams handling hundreds of documents monthly get the most value. If your volume is under 50 documents per month, manual entry may still be faster to set up.
Data Extraction vs. Web Scraping Agent
Web Scraping handles live websites. Data Extraction handles static documents. Both produce structured output, but from completely different source types.
