I'm building an app to extract text from uploaded scans, which OCR API is easiest?

If you want the easiest OCR API to integrate, the best choice depends on whether you value simplicity, accuracy, or cloud ecosystem fit. Here are the usual top picks:

Easiest overall: Google Cloud Vision OCR

• Very straightforward API
• Strong OCR accuracy on printed text
• Good documentation and SDKs
• Easy to send image files directly or via Google Cloud Storage
• Works well for scans, receipts, forms, and general documents

Best if: you want a quick, reliable OCR setup with minimal fuss.

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Also very easy: Microsoft Azure Computer Vision / Document Intelligence

• Clean APIs and good SDK support
• Strong for document OCR and structured extraction
• Document Intelligence is especially good if you want text + layout + key-value pairs

Best if: you’re already on Azure or want more document structure extraction.

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Simplest to get started locally: Tesseract OCR

• Open-source, free
• Easy to run without cloud setup
• Good for simple scans and basic text extraction

Tradeoffs:

• Usually less accurate than cloud OCR
• You handle preprocessing, scaling, cleanup yourself
• Not ideal for complex layouts or handwriting

Best if: you want no API cost and can tolerate more tuning.

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Best for document-heavy workflows: AWS Textract

• Excellent for forms, tables, and scanned documents
• More than just text extraction
• Easy enough if you’re already using AWS

Tradeoffs:

• Slightly more setup complexity than the “simple OCR” APIs
• Better when you need structure, not just plain text

Best if: your scans include forms/tables or you need structured output.

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Quick recommendation

• Want easiest general OCR API? → Google Cloud Vision
• Need text + layout/forms? → Azure Document Intelligence or AWS Textract
• Want free/local? → Tesseract

If you want, I can also give you:

1. a side-by-side comparison table, or
2. a minimal Python/Node example for the easiest one.