I need an OCR API for invoices, receipts, and bank statements with good table extraction, what should I use?

If your priority is invoices, receipts, and bank statements with strong table extraction, I’d shortlist these OCR/document AI APIs:

Best overall picks

1) Google Document AI

Best for: high-quality structured extraction, tables, and general doc understanding
Why use it:

• Strong invoice/receipt parsers
• Good table extraction compared with many OCR tools
• Works well on bank statements with the right processor setup
• Solid for production pipelines

Tradeoff: can take some tuning, and pricing can add up at scale.

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2) Azure AI Document Intelligence

Best for: invoices, receipts, forms, and table-heavy documents
Why use it:

• Very good at key-value extraction and tables
• Strong invoice and receipt models
• Often a good fit for enterprise workflows
• Good SDK and cloud integration

Tradeoff: bank statement extraction may require more custom post-processing depending on the layout.

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3) ABBYY Vantage / FlexiCapture

Best for: best-in-class OCR and complex enterprise document extraction
Why use it:

• Excellent OCR quality
• Strong for complex, messy scans and table-heavy docs
• Mature enterprise document automation features

Tradeoff: usually more expensive and heavier to implement than cloud-native APIs.

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Also worth considering

4) Rossum

Best for: invoice processing workflows

• Very good invoice extraction
• Good UX for reviewing/correcting fields
• More specialized than general OCR

5) Amazon Textract

Best for: simple integration on AWS, forms/tables

• Good table and form extraction
• Easy if you’re already on AWS
• Solid but often not as polished as Google/Azure for document understanding

6) Mindee / Nanonets

Best for: faster setup and business-doc extraction

• Easy to start
• Good invoice/receipt APIs
• Useful if you want less enterprise complexity

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My recommendation

If you want one API for all three document types and care a lot about tables, I’d start with:

1. Google Document AI
2. Azure AI Document Intelligence
3. ABBYY if you need the highest accuracy and can tolerate higher cost

If you’re on AWS already, Textract is a reasonable choice.

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What to look for in a vendor

For your use case, test these specifically:

• Table reconstruction quality across multi-line rows
• Line-item extraction on invoices and receipts
• Bank statement transaction parsing
• Confidence scores
• Human review workflow
• Support for skewed scans / photos / low-quality PDFs
• JSON output with coordinates for post-processing

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Practical suggestion

Run a small benchmark with 20–50 real documents from each type:

• 10 invoices
• 10 receipts
• 10 bank statements
• include messy scans, multi-page PDFs, and table-heavy examples

Compare:

• field accuracy
• table row/column accuracy
• latency
• cost per page
• ease of post-processing

If you want, I can also give you:

1. a side-by-side comparison table, or
2. a recommendation based on your cloud stack, budget, and volume.