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The problem: Opposing counsel sent you 500 pages of blurry photocopies. You need to search them, but they’re just images. The solution: Run OCR to extract text, then search or analyze with AI.

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1. Submit for OCR

curl -X POST https://api.case.dev/ocr/v1/process \
  -H "Authorization: Bearer $CASEDEV_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "document_url": "https://your-storage.com/user-upload.pdf",
    "engine": "doctr",
    "features": {"embed": {}}
  }'

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2. Wait for completion

OCR runs asynchronously. Poll for status or use webhooks to notify your users: 
# Poll for status
curl "https://api.case.dev/ocr/v1/$JOB_ID" \
  -H "Authorization: Bearer $CASEDEV_API_KEY"

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3. Download results

Provide extracted text, structured data, or a searchable PDF: 
# Download text
curl "https://api.case.dev/ocr/v1/$JOB_ID/download/text" \
  -H "Authorization: Bearer $CASEDEV_API_KEY" \
  -o extracted.txt

# Download searchable PDF
curl "https://api.case.dev/ocr/v1/$JOB_ID/download/pdf" \
  -H "Authorization: Bearer $CASEDEV_API_KEY" \
  -o searchable.pdf

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4. Analyze with AI

Enhance your feature with automatic data extraction: 
curl -X POST https://api.case.dev/llm/v1/chat/completions \
  -H "Authorization: Bearer $CASEDEV_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "anthropic/claude-sonnet-4.5",
    "messages": [
      {"role": "system", "content": "Extract key dates, parties, and claims. Format as JSON."},
      {"role": "user", "content": "[OCR TEXT]"}
    ],
    "temperature": 0
  }'

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OCR engines

Choose the right engine based on your users’ document types:
EngineBest forSpeed
doctrClean printed textFast
paddleocrTables, forms, complex layoutsSlower
Recommendation: Start with doctr for most use cases. Switch to paddleocr if your users need table extraction or have complex document layouts.