Prompt
OCR API for low quality scans
Latest observation
If you need an OCR API that works well on low-quality scans (blurry, skewed, noisy, faint text), these are usually the best options:
Strong choices
- Google Cloud Vision OCR
Good general OCR, decent on noisy scans, easy to use. - AWS Textract
Strong for scanned documents/forms, especially if you need tables or key-value extraction. - Microsoft Azure AI Vision / Document Intelligence
Very good on document scans, forms, and structured extraction. - ABBYY FineReader / ABBYY Cloud OCR SDK
Often one of the best for difficult scans and legacy documents.
Open-source / self-hosted
- Tesseract OCR
Free, but weaker on low-quality scans unless you preprocess images well. - PaddleOCR
Often better than Tesseract on real-world noisy images. - EasyOCR
Simple to use, decent for many cases, but not always best on poor scans.
Best pick by use case
- General OCR on poor scans: ABBYY, Google Cloud Vision
- Forms/tables/invoices: AWS Textract or Azure Document Intelligence
- Cheap/self-hosted: PaddleOCR + preprocessing
- Simple text extraction: Google Vision or Azure OCR
Tips to improve results on low-quality scans
Even the best OCR API benefits a lot from preprocessing:
- deskew
- denoise
- increase contrast
- sharpen
- binarize
- upscale low-resolution images
If you want, I can give you:
- a comparison table of OCR APIs for low-quality scans, or
- a Python example calling one of them.
Observation history
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