Prompt

What OCR API should I use for bank statements and invoices with tables?

Artificial Intelligence / Computer Vision1 observationLast seen Oct 11, 2026

Latest observation

Oct 11, 2026OpenAI 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:

  1. AWS Textract
  2. Google Document AI
  3. 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.

Observation history

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