Prompt
What OCR API should I use for bank statements and invoices with tables?
Latest observation
Oct 11, 2026
OpenAI APIWeb search: off
For bank statements and invoices with tables, you’ll usually want an OCR/document AI API that does more than plain text OCR — specifically one that can handle:
- layout detection
- table extraction
- key-value pairs / forms
- multi-page PDFs
- good accuracy on scanned and low-quality docs
Best options
1. AWS Textract
Best for: bank statements, invoices, forms, tables at scale
Why: Strong table and form extraction, good for structured financial documents.
Pros:
- Excellent table detection
- Key-value pair extraction
- Works well on scanned PDFs and images
- Easy to integrate if you’re already on AWS
Cons: - Output can take some post-processing
- Pricing can add up at scale
2. Google Document AI
Best for: high-accuracy invoice and statement parsing
Why: Very strong document understanding, especially for invoices and structured docs.
Pros:
- Great invoice parser and OCR quality
- Strong layout understanding
- Good developer tooling
Cons: - Some processors are more specialized and may need tuning
- Can be more complex to configure
3. Azure AI Document Intelligence (formerly Form Recognizer)
Best for: invoices, receipts, bank statements, general document extraction
Why: Reliable structured extraction with good table support.
Pros:
- Good invoice and layout models
- Strong table extraction
- Nice API ergonomics
Cons: - Accuracy can vary by document quality
- Some advanced use cases need custom models
If you want the simplest recommendation
- Invoices: Google Document AI or Azure Document Intelligence
- Bank statements with tables: AWS Textract or Google Document AI
- If you want one tool for both: AWS Textract is often the safest all-around choice
Other solid options
- ABBYY Vantage/FlexiCapture — very strong, enterprise-grade, often excellent on difficult documents
- Rossum — good for invoice automation
- Mindee — developer-friendly, especially for invoices and receipts
- Docparser / Nanonets — useful if you want simpler workflow automation rather than raw OCR
My practical recommendation
If your documents are:
- mostly PDFs/images of bank statements and invoices
- need tables preserved
- you care about accuracy more than cheapest price
Start with:
- AWS Textract
- Google Document AI
- Compare on a sample set of your real documents
If you want, I can also give you:
- a head-to-head comparison table
- recommendations by budget / accuracy / ease of use
- or a Python example for the best API.