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How to Extract Text from Scanned PDFs

Published: July 12, 2026·PDF·6 min read

Scanned PDFs are everywhere — contracts, receipts, old books, medical records, and academic papers. The problem? The text inside them is just an image. You cannot search it, copy it, or edit it. That is where OCR (Optical Character Recognition) comes in, turning those image-based pages into real, selectable text.

What Is OCR and Why Does It Matter?

OCR is technology that analyzes each pixel of an image to identify characters, words, and layouts. It then converts that visual information into machine-readable text. For anyone working with scanned documents, OCR is essential because it makes the content searchable, editable, and accessible.

Without OCR, a 50-page scanned PDF is essentially 50 images — you cannot Ctrl+F to find a name, copy a paragraph into an email, or run text analysis. OCR solves all of this.

The Problem with Most Online OCR Tools

Most free OCR tools require you to upload your document to their servers. This raises serious concerns:

  • Privacy risk: Sensitive documents like contracts, medical records, and financial statements are transmitted to third-party servers where you have no control over who accesses them.
  • File size limits: Many tools cap uploads at 5-10MB, which is often smaller than a single high-resolution scanned page.
  • Wait times: Server-side processing means queuing behind other users, especially during peak hours.

Client-Side OCR: The Private Alternative

Modern web browsers can run OCR entirely on your device using JavaScript libraries like tesseract.js. This means your scanned documents never leave your computer. The processing happens in your browser's engine, and once you close the tab, all data is gone.

Krynn Tools' OCR PDF tool uses this approach. It combines tesseract.js for text recognition with pdf.js for rendering PDF pages to images — all running locally in your browser.

Step-by-Step: How to Extract Text from a Scanned PDF

  1. Open the tool: Navigate to /pdf/ocr-pdf in your browser.
  2. Upload your file: Drag and drop your scanned PDF or image, or click to browse. The tool accepts PDF, JPG, PNG, and WebP formats.
  3. Select the language: Choose the document language from the dropdown. English is the default, but over 20 languages are available.
  4. Click "Extract Text": The tool will render each PDF page to an image, then run OCR on each page. You will see a progress bar showing current page and percentage.
  5. Copy or download:Once complete, the extracted text appears in a copyable text area. Use the "Copy Text" button or download as a .txt file.

Tips for Better OCR Results

  • Use high-resolution scans: OCR works best at 300 DPI or higher. Low-resolution images produce more errors.
  • Select the correct language: Choosing the right language pack dramatically improves accuracy, especially for documents with special characters.
  • Ensure straight alignment: Skewed or rotated scans confuse OCR engines. Straighten your document before uploading if possible.
  • Clean scans work best: Documents with stains, creases, or low contrast produce more errors. Clean scans yield cleaner text.

Common Use Cases for PDF OCR

  • Digitizing old printed books and archives
  • Extracting text from contracts and legal documents
  • Converting handwritten notes (with clear handwriting) to digital text
  • Making academic papers searchable for research
  • Processing receipts and invoices for expense tracking

Conclusion

Extracting text from scanned PDFs does not require expensive software or privacy-compromising online services. With client-side OCR tools like Krynn Tools' OCR PDF, you can convert any scanned document to editable text right in your browser — fast, free, and completely private.