Document processing. From a pile of PDFs to checked, structured data.
We extract data from invoices, claims, forms and contracts, check it against your rules and records, and send only the exceptions to people.
For finance, insurance, healthcare and logistics teams that retype data from documents every day.
Document processing & OCR
We combine OCR and language models to extract the fields you need, validate them against your records, such as purchase orders, policies and price lists, and route mismatches to a reviewer with the evidence attached. Clean records flow into your systems; nothing is approved silently.
- (01)Extraction from scans, PDFs and photos
- (02)Checks against your records
- (03)Exceptions routed with evidence
- (04)Export to your systems
Tools we use for this.
- OCR
- Vision-language models
- Python
- PostgreSQL
- n8n
- Your ERP or accounting system
We choose the stack that fits your requirements. Tool names describe our skills, not partnerships.
Sprint.
4 weeks.
Four weeks on one goal, with working software at the end.
Included
- (01)Document and field review
- (02)Extraction pipeline
- (03)Validation rules and matching
- (04)Reviewer queue for exceptions
- (05)Integration with target systems
- (06)Accuracy report on real samples
Not included
- (01)Scanning hardware
- (02)Bulk back-office data entry
- (03)Final approval of payments or claims
How it runs
- (01) · Week 1
Sample
Collect representative documents and define the fields and rules.
- (02) · Weeks 2–3
Build
Extraction, validation and the reviewer queue.
- (03) · Week 4
Prove
Measure accuracy on a held-out sample before go-live.
Also available as: Build & Support (Staged, ongoing). Compare the formats.
You might also
look at these.
How accurate is it?
It depends on document quality and variety. We measure accuracy on your own documents before go-live and route low-confidence fields to people.
Can it read handwriting or photos?
Often, yes. Modern models handle photos and some handwriting. We test with your real samples before committing to a target.
Where do the documents go?
Into the storage you choose. When documents must stay in your environment, we run the pipeline there.