Should I use OCR or document AI for invoices and claims?

For invoices and claims, you usually want Document AI rather than plain OCR.

Short answer

• OCR = reads text from images/PDFs
• Document AI = reads the document and understands its structure, so it can extract fields like:
  • invoice number
  • vendor name
  • date
  • line items
  • totals
  • claim ID
  • patient/member info
  • diagnosis/procedure codes
  • amounts, statuses, etc.

When OCR is enough

Use OCR if:

• you only need the raw text
• documents are very simple and consistent
• you’ll build your own parsing logic afterward
• cost needs to be minimal

When Document AI is better

Use Document AI if:

• you need structured extraction into fields/tables
• invoices or claims vary in format
• you want higher automation and less custom code
• you need to process line items, tables, stamps, signatures, or forms
• you care about accuracy and classification across many vendor/layout types

For invoices

Document AI is usually the better choice because invoices often include:

• tables/line items
• totals and tax fields
• multiple layouts from different vendors

For claims

Document AI is strongly preferred because claims often involve:

• structured forms
• field-specific extraction
• multi-page documents
• more variability and compliance needs

Practical recommendation

• Simple scanning / search → OCR
• Business workflow / extraction / automation → Document AI

If you tell me:

1. your document volume,
2. whether they’re PDFs or scanned images,
3. and what fields you need,

I can recommend the best setup more precisely.