Get the data out of your documents
Invoices, contracts, applications, statements, shipping docs, medical forms — the information you need is locked inside documents in inconsistent layouts, some scanned, some photographed, some barely legible. Document AI reads them and pulls out the specific fields you care about as clean, structured data.
We combine OCR (reading text off scans and images) with extraction that understands document structure, so you get named fields — invoice number, total, dates, line items — not just a wall of text.
- OCR for scanned documents, photos and image PDFs
- Field extraction: invoice totals, dates, IDs, line items and more
- Table and line-item extraction into structured rows
- Classify document types and route them automatically
- Handle varied and messy layouts, not just one fixed template
- Output as clean JSON, CSV or straight into your database
Accurate where it counts, with a human safety net
Document data often feeds billing, compliance or records — places where a silent extraction error is expensive. So we build with confidence scoring: high-confidence fields flow through automatically, uncertain ones get flagged for a quick human check.
That combination gets you most of the speed of automation while protecting against the wrong number ending up in your system. We measure extraction accuracy on your real documents and are clear about which document types are harder.
- Confidence scores per field, with low-confidence flagged for review
- Validation rules (formats, totals, cross-checks) to catch errors
- A review interface so people verify only the uncertain cases
- Accuracy measured on your actual document samples
- Straight-through processing for the fields it's confident about
Fits into your workflow
Extraction is only useful when the results land where the work happens. We connect the output to your ERP, accounting system, database or workflow tool, and can trigger on documents arriving by email, upload or a watched folder.
We can start with one high-volume document type, prove the accuracy and time savings, then extend to others.
- Integration with your ERP, accounting or line-of-business system
- Triggered by email, upload, API or a monitored folder
- Batch processing for backlogs and high volumes
- Start with one document type, then expand
More on ai development
Frequently asked questions
Can it handle messy scans and photos, or does it need clean PDFs?
It handles both, but quality matters — a crisp digital PDF extracts more reliably than a crumpled, poorly-lit phone photo. We build with confidence scoring so low-quality documents get flagged for review instead of producing silent errors, and we test on your worst realistic examples, not just the clean ones.
Our documents come in dozens of different formats — is that a problem?
That's the normal case, and it's why generic tools struggle. Modern document AI can handle varied layouts rather than needing one fixed template per vendor. We validate against the range of formats you actually receive so we know how it performs before you rely on it.
How accurate is it, and what about the errors?
Accuracy depends on document quality and field type — printed totals and IDs extract very reliably, handwriting and poor scans less so. We measure it on your documents and design a human-review step for low-confidence fields, so the data reaching your systems stays trustworthy even when a document is hard to read.