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PDF OCR

스캔된 PDF에서 텍스트를 추출합니다

한국어, English

PDF 파일을 선택하세요

클릭하여 업로드하거나 파일을 끌어다 놓으세요

PDF OCR 안내

  • 스캔된 PDF나 이미지 기반 PDF에서 텍스트를 추출합니다
  • 한국어, 영어, 일본어 등 18개 언어를 지원합니다
  • 파일이 안전하고 확실하게 처리됩니다

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.