100% Client-Side • No Data Sent to Server

🔍 PDF OCR (Text Recognition)

Extract text from scanned PDFs using optical character recognition. Free, private, and works entirely in your browser.

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Drag & drop your scanned PDF file here
or click to browse (max 30MB)
Initializing OCR...
OCR Complete!

Text has been successfully recognized from your scanned PDF.

Download Result

Gizlilik ve Güvenlik: Bu araç kişisel kullanım içindir. Verileriniz işlenmez ve hiçbir sunucuya gönderilmez. Tüm işlemler tarayıcınızda client-side olarak gerçekleştirilir.

Sorumluluk Reddi: Bu araç tahmini değerler sunar, profesyonel belge dönüşüm hizmeti değildir. OCR accuracy may vary based on document quality.

How to Use PDF OCR

  1. Click on the upload area or drag and drop your scanned PDF file.
  2. Select your preferred output format (TXT or DOCX) and OCR language.
  3. Click the "Recognize Text" button and wait for processing.
  4. Preview the recognized text and download your file.

Frequently Asked Questions

Yes, completely free. No signup required, no watermarks, and no usage limits.
OCR accuracy depends on the quality of your scanned document. Clear, high-resolution scans with good contrast produce the best results. Handwritten text recognition may have lower accuracy.
Absolutely. All processing happens entirely in your browser using Tesseract.js. Your PDF files never leave your device or get uploaded to any server.
You can process scanned PDF files up to 30MB in size. OCR processing is resource-intensive, so larger files may take more time to process.
We currently support English, Turkish, German, French, and Spanish. The OCR engine will use the selected language to improve text recognition accuracy.
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PDF OCR workflow guide

This tool is for scanned PDFs or image-based documents where text selection and search are not available yet.

How to use it

  1. Upload a scanned or image-based PDF.
  2. Run OCR, then review recognized text for errors.
  3. Use the result for search, copying, or follow-up conversion only after checking accuracy.

Privacy and trust note

OCR handles document images and may misread names, numbers, dates, or low-quality scans. Avoid sensitive originals on shared devices and manually verify important output.

Common mistakes

  • Running OCR on already text-based PDFs when extraction would be cleaner.
  • Relying on OCR for exact IDs, totals, or legal wording without proofreading.
  • Using low-resolution scans and expecting perfect recognition.
Need an editable draft after OCR? Continue with PDF to Word. Open related tool →

Recommended next reading

Use these practical guides to understand when this tool is the right choice, what to check before exporting, and which workflow usually comes next.

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