Document and Data Extraction With a Review Queue
Invoices, purchase orders, certificates of conformance, certificates of analysis and supplier PDFs, turned into structured data your systems can use. Anything uncertain goes to a person.
Invoices, purchase orders, certificates of conformance, certificates of analysis and supplier PDFs, turned into structured data your systems can use. Anything uncertain goes to a person.
Copying values from PDFs into ERP or a spreadsheet is slow, error-prone and invisible until a wrong number causes a real problem.
Hours each week spent copying invoice lines, PO numbers and test results from PDFs into ERP, QMS or Excel.
Basic OCR or PDF-to-Excel tools get most fields right, but nobody knows which ones are wrong until something downstream breaks.
Every supplier has its own layout, and some still send scans or faxes. Template-based tools break each time one changes.
Extraction is the easy part. Knowing when to trust it is what makes it usable.
Header and line items extracted, matched against the PO and receipt, and posted or queued for approval.
Values read and checked against your specification, with out-of-spec or missing results sent for review before material is accepted.
Scanned and photographed documents read with OCR, then checked with the same rules as digital PDFs.
Each field carries a confidence score. Above the line it flows through, below the line a person confirms it.
A simple screen showing the document next to the extracted values, so a reviewer can confirm in seconds, not minutes.
Straight-through rate, correction rate and error types tracked over time, so you know the real accuracy, not the vendor's.
We test on your documents before anyone commits to a tool.
A representative set of your actual documents, including the ugly ones: scans, multi-page tables and odd suppliers.
We run extraction on the samples and measure field-level accuracy before choosing thresholds or building anything.
Extraction, validation rules, review queue and posting to your systems, with every correction logged.
| Approach | What it does | Best for |
|---|---|---|
| OCR | Turns an image of text into machine-readable text | Scans and faxes, as a first step |
| PDF to Excel converters | Copies tables from a PDF into a spreadsheet | One-off jobs on clean, digital PDFs |
| Template-based extraction | Reads fields from fixed positions on a known layout | A few suppliers with layouts that rarely change |
| Intelligent document processing (document AI) | Understands fields by meaning, not position, with confidence scores | Many layouts, ongoing volume, and data that must be trusted |
In regulated work, such as certificates used to accept material, the extracted record and every human correction should be traceable. We design for that from the start.
System Integration · Regulated Manufacturing · Exception Handling & Monitoring
It depends on the documents. Clean digital PDFs often extract very well; poor scans and handwriting less so. That is why we measure field-level accuracy on your own samples and use confidence thresholds, instead of quoting a single number.
Yes. We extract the values, compare them to your specification and route anything missing or out of range to a reviewer before the material is accepted.
No. A converter copies what it sees. Document extraction also validates the values, matches them to orders or specs, flags low-confidence fields for review and posts the result into your systems.
Meaning-based extraction usually copes with layout changes. When confidence drops, documents route to review instead of passing through wrong, and the change shows up on the accuracy dashboard.
The first conversation is free, takes about an hour and covers one process end to end. You keep the map whether or not you hire us.