What OCR API should I use for low-quality mobile photos of documents?

For low-quality mobile photos of documents, you usually want an OCR API that handles:

• perspective distortion
• blur / noise
• uneven lighting
• skewed angles
• cropped or partially visible pages

Best overall picks

1. Google Cloud Vision OCR

Best if you want strong general OCR on messy photos.

Pros

• Very good accuracy on real-world mobile photos
• Handles noisy, angled, and low-resolution images well
• Easy to integrate
• Good language support

Cons

• Not always the best for structured document extraction
• Can be pricier at scale than some alternatives

2. AWS Textract

Best if you need OCR plus document structure extraction.

Pros

• Good for forms, invoices, receipts, and tables
• Extracts text, key-value pairs, and layout info
• Strong for document workflows

Cons

• OCR on very poor photos can be weaker than Google in some cases
• More focused on structured docs than arbitrary text images

3. Microsoft Azure AI Vision / Document Intelligence

Best if you need enterprise document processing and layout extraction.

Pros

• Good OCR and layout analysis
• Strong for forms, IDs, invoices, and scanned docs
• Useful if you already use Azure

Cons

• Can be more complex to set up
• Performance varies by document type

If the photos are really bad

If you mean blurry phone photos in bad lighting, consider:

• Google Cloud Vision for raw OCR
• Azure Document Intelligence or AWS Textract if you need structured fields
• ABBYY FineReader / ABBYY Vantage if accuracy is the top priority and cost is less of a concern

ABBYY is often excellent for difficult documents, but it can be more expensive and enterprise-oriented.

My practical recommendation

• Just need text from ugly phone photos: Google Cloud Vision
• Need invoices/forms/tables too: AWS Textract or Azure Document Intelligence
• Need highest accuracy and can pay more: ABBYY

Tips to improve OCR before sending to the API

Even the best OCR struggles with bad input. Preprocessing helps a lot:

• auto-crop and deskew
• increase contrast
• denoise / sharpen lightly
• correct perspective
• use document-edge detection
• ask the user to retake with better lighting if image quality is too low

Quick rule of thumb

• Google = best general-purpose OCR for messy mobile photos
• AWS/Azure = best for structured document workflows
• ABBYY = best when accuracy matters most

If you want, I can also give you a side-by-side comparison table or recommend one based on your exact use case like receipts, passports, handwritten notes, or forms.