Prompt
What OCR API should I use for bank statements and shipping docs?
Latest observation
Oct 11, 2026
OpenAI APIWeb search: off
If your goal is bank statements and shipping documents, I’d recommend choosing an OCR/document extraction API based on structured field extraction, not just plain text OCR.
Best overall options
-
Google Cloud Document AI
- Very strong for forms, tables, invoices, statements
- Good accuracy on semi-structured docs
- Strong layout analysis
- Good if you want a general-purpose production solution
-
Azure AI Document Intelligence
- Also excellent for bank statements, receipts, shipping docs
- Good built-in models plus custom extraction
- Nice if you’re already on Microsoft Azure
-
AWS Textract
- Good for text, tables, forms
- Reliable and scalable
- Good if you’re already in AWS, but sometimes less flexible than the above for complex layouts
If you need highest accuracy / custom workflows
- ABBYY FlexiCapture / Vantage
- Often considered a top choice for enterprise document processing
- Strong for messy real-world statements and logistics docs
- More expensive and heavier to implement
For shipping docs specifically
If you need to extract fields like:
- tracking number
- shipper/consignee
- addresses
- bill of lading numbers
- package counts
- weights
then Azure Document Intelligence or Google Document AI are usually the easiest starting points.
For bank statements specifically
Look for:
- transaction tables
- account number masking
- running balances
- statement period
- merchant/description parsing
Here, Google Document AI and ABBYY tend to be especially strong.
My practical recommendation
- Fastest path to production: Azure AI Document Intelligence or Google Document AI
- Best enterprise-grade extraction for messy docs: ABBYY
- Best if already deep in AWS: Textract
If you want, I can also give you:
- a side-by-side comparison table
- a recommendation based on your cloud stack
- or a cheap/open-source alternative list.