Prompt
I’m unhappy with Tesseract on scanned PDFs, what OCR API is better?
Latest observation
If you’re unhappy with Tesseract on scanned PDFs, the “better” OCR API depends on what’s failing: accuracy, layout preservation, handwriting, tables, or speed. In general, commercial OCR APIs tend to outperform Tesseract on noisy scans and complex documents.
Strong options to look at
1. Google Cloud Vision / Document AI
- Usually very strong on scanned documents
- Good text accuracy on messy scans
- Document AI is better than raw Vision for structured docs
- Good at layout, key-value extraction, and tables
Best for: mixed-quality scans, forms, invoices, general document OCR
2. AWS Textract
- Excellent for forms, tables, and structured docs
- Good if you need text plus document structure
- Strong API for downstream automation
Best for: invoices, receipts, forms, business documents
3. Azure AI Document Intelligence
- Very competitive OCR
- Strong layout and form extraction
- Good when you want OCR plus semantic document parsing
Best for: enterprise document workflows, forms, PDFs with structure
4. ABBYY FineReader / ABBYY Cloud OCR
- Often considered one of the best OCR engines for scanned PDFs
- Strong on document fidelity, mixed layouts, and print quality issues
- Typically more expensive, but often very accurate
Best for: high-accuracy OCR on scans, archival documents, complex layouts
5. Mathpix
- Very good for scientific papers, equations, tables, and technical PDFs
- Not ideal as a general-purpose OCR replacement for every case
- Can outperform generic OCR on academic documents
Best for: papers, formulas, technical PDFs
Quick recommendation
- General scanned PDFs: ABBYY or Google Document AI
- Forms/tables/invoices: AWS Textract or Azure Document Intelligence
- Technical/scientific PDFs: Mathpix
- Want easiest cloud integration: Google, AWS, or Azure
If Tesseract is failing, these often help too
Before switching, make sure the scan quality isn’t the real problem:
- deskew / dewarp
- increase DPI to 300+
- denoise / sharpen
- binarize carefully
- split double-page scans
- remove background shadows
Sometimes a better preprocessing pipeline can make Tesseract much better, but if you need a reliable production API, I’d start with ABBYY or Google Document AI.
If you want, I can also give you:
- a head-to-head comparison table, or
- a recommendation based on your exact documents (invoices, books, forms, handwritten notes, etc.).