Question 1

What's the difference between Document AI and OCR?

Accepted Answer

OCR turns an image or PDF into readable text. Document AI goes further by understanding document structure and meaning—extracting fields like invoice number, totals, dates, vendor names, line items, tables, and key-value pairs. In practice, OCR is often one step inside a Document AI pipeline.

Question 2

When should I use Document AI?

Accepted Answer

Use Document AI when you receive many documents (PDFs, scans, photos) and need consistent, structured data from them—like invoices, receipts, IDs, forms, contracts, medical records, or claims. It’s especially useful when manual data entry is slow, error-prone, or too expensive, and when you can define the fields you want to extract and validate.

Question 3

How much does Document AI cost?

Accepted Answer

Pricing is typically usage-based and depends on factors like the number of pages processed, the type of processor/model (general OCR vs specialized extractors), and whether you use add-ons such as human review/validation or higher accuracy options. Costs also vary by region and document complexity (e.g., multi-page PDFs, handwriting, dense tables). For accurate estimates, calculate expected pages per month and test a sample set to understand extraction quality and any required human-in-the-loop review.

Document AI

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