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PDF OCR

Extrage text din PDF-uri scanate

Română, English

Selectați un fișier PDF

Click pentru a încărca sau trage și lasă

Despre PDF OCR

  • Extrage text din PDF-uri scanate sau PDF-uri bazate pe imagini
  • Suportă 18 limbi inclusiv română, engleză, germană
  • Toată procesarea se face în siguranță

How to OCR a PDF

Step-by-step guide to extract text from scanned PDFs

  1. 1

    Upload scanned PDF

    Drag and drop your scanned PDF file.

  2. 2

    Select language

    Choose the language of the text in your document.

  3. 3

    Process and download

    Click OCR to extract text, then download your searchable PDF.

Frequently Asked Questions

What languages are supported?

Our OCR supports multiple languages including English, Korean, Japanese, Chinese, and most European languages.

Can OCR read handwritten notes?

OCR works best on typed text. Neat handwriting may be partially recognized, but handwritten accuracy is lower than printed documents.

Will OCR keep my original page layout?

Yes, the page appearance stays visually similar while a searchable text layer is added. You can still view the original scan formatting.

How can I improve OCR accuracy?

Use scans at 300 DPI or higher, with straight pages and strong contrast. Cropping dark borders before OCR also helps recognition quality.

Can I copy text after OCR?

Yes, successful OCR makes text selectable and searchable in most PDF readers. Accuracy depends on scan quality and language selection.

Practical use cases for OCR PDF

Law firms run OCR on scanned case records so attorneys can search names, dates, and clauses across hundreds of pages during discovery preparation.

Researchers OCR historical articles and printed reports to extract quotes and build searchable literature archives without manual retyping.

Accounting teams OCR invoice scans so line items and vendor IDs become searchable during audits and reconciliation cycles.

Tips and best practices for OCR PDF

  • Scan at 300 DPI minimum for standard documents and 400 DPI for small fonts.
  • Select the primary document language before processing to reduce character substitution errors.
  • Rotate skewed or upside-down pages first; OCR accuracy drops sharply on misaligned text.
  • Avoid heavily compressed source scans because artifacts can confuse character detection.
  • Spot-check key fields like totals, dates, and names after OCR before using extracted data operationally.