AI document processing built for your documents

AI document processing reads documents such as invoices, purchase orders, bills of lading, applications and claims, pulls out the fields your team needs, and records the page each value came from. ClearMetric builds it around your own document types and rules, checks every value, and sends the results to your systems from inside your own cloud.

Tell us what you need

Updated

ap.yourcompany.com/invoices
Supplier invoices

InvoiceINV-30418

FromGranite Resin Supply
Invoice numberINV-30418
Invoice dateOct 12, 2026
PO numberPO-7712
ItemHDPE resin pellets
Quantity12,000 lb
Unit price1.42 / lb
Payment termsNet 30
Granite Resin SupplyReview 1

Needs review

  • Doesn't match the purchase order

    The invoice says 1.42 per lb. PO-7712 says 1.31, which is 7.7% lower.

Verified

What is AI document processing?

It pairs text recognition with a language model that understands layout and meaning. OCR turns a page into text. Document AI turns it into named fields, such as supplier, invoice total or PO number, and answers questions about what the document says.

How is it different from OCR?

OCRAI document processing
OutputRaw textNamed fields and answers
New layoutsA template per layoutReads layouts it has not seen
ChecksNoneRequired fields, totals, matches across documents
ProofNoneThe page and passage behind each value

What does a build include?

  • Extraction of the fields your team types in today, each with its source page.
  • Checks that flag missing, conflicting or out-of-range values for a person to review.
  • Delivery into your database, accounting or operations system, or a spreadsheet.
  • Questions answered across all your documents, with citations.
  • Answer checks that re-run whenever the AI model changes.

Which documents can it read?

Anything your team reads and retypes: invoices, purchase orders, packing slips, bills of lading, applications, bank statements, tax forms, insurance claims, certificates and contracts. Scans and phone photos work. Handwriting depends on how legible it is.

How a project runs

  1. Scope

    Within 1 business day

    You describe the task and where the data lives. You get a written scope and a fixed price by email, or a few questions first.

  2. Build

    2 to 3 weeks

    The first version is built in 2 to 3 weeks, with your dates in the scope, and tested on your own documents or data before anyone relies on it.

  3. Run

    Monthly

    Monitoring, answer checks when AI models change, fixes, small changes and a monthly report, so it keeps working after launch.

Questions

How accurate is AI document processing?

It depends on document quality and the fields you need. Accuracy is measured on your own documents before launch and reported per field, and any value below the threshold you set goes to a person for review.

Do we have to change our current systems?

No. The app picks up documents where they arrive today, such as email, a shared drive or an upload page, and writes results to the systems you already use.

Can it handle personal and financial data?

Yes. It runs in your own cloud account under your security controls, and AI providers are used under terms that exclude your data from training.

Tell us what you need

Tell us what you want built, the data it uses and the systems it should connect to. We read every request and reply by email within one business day.

  • Your data stays under your control
  • Every answer shows its source
  • Fixed scope, refundable deposit
  • Data first, then AI
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