Educational
What happens after document extraction?
Extraction names the fields. The work after that decides whether those fields can be trusted, and what a person still has to see.
Saarvak · 11 November 2026 · 6 min read
Saarvak builds DocIntel AI, software that reads Indian business documents, including Hindi and Marathi pages in Devanagari, extracts fields, checks them against rules, and routes exceptions to a reviewer.
Extraction is the moment a page becomes fields: an invoice number, a quantity, a date, a line in a table. That record is not yet a decision. The steps after extraction test the fields, hold back the ones that fail, and hand the rest to the systems that need them.
Where extraction sits among OCR and validation is covered in OCR versus document understanding versus cross-document validation.
Checks on one document
Before any second file is opened, the extracted fields can be tested against themselves. Mandatory fields are present. A date parses. A line amount equals quantity times rate. On the synthetic invoice INV-1048, 120 × ₹500 = ₹60,000, so that internal check passes. These rules catch an incomplete or arithmetically broken page. They do not catch a page that is internally tidy and still wrong against another document.
Checks across the case
Cross-document validation compares fields that understanding has already named. Purchase order PO-2024-0187 says quantity 100 and total ₹50,000. The invoice says 120 and ₹60,000. The quantity rule fails. The unit-price rule passes. The output is a pass or a fail with a reason, not another copy of the text.
The same step covers a claim file: dates and parties across an FIR and a claim form, or a missing document the checklist expected. Details are in how invoices are validated against purchase orders and how inconsistencies in claim documents are detected.
Exception handling and human review
A failed rule, or a field whose confidence is low, leaves the automatic path. The review item should carry the field names, the values, and a pointer to the source page. A person corrects or approves. Cases that pass, and cases a reviewer has cleared, are the ones that can be delivered.
What gets delivered
The handover is structured data, typically JSON or CSV, with the source of each value still attached, via an API or a file. Workflow around that handover, routing, approval, and timing, is configured for the process. Extraction without this tail leaves the fields in a file that nobody has checked.
See the validation stage on the platform and human review.
Bring a packet, not a single scan
A purchase order, a goods receipt, and the invoice that should match them. We will show what each layer returns.