OCR PDF – Extract Text from Scanned Documents

📚 Free Online OCR PDF Tool – Extract Text from Scanned Documents

Why Choose Our OCR PDF Tool?

Our OCR technology stands out for several reasons. Unlike many online OCR services that upload your files to remote servers, all processing happens locally in your browser. This means your sensitive documents never leave your device, ensuring complete privacy and security. Additionally, we support a wide range of languages and provide accurate text extraction from both printed and handwritten text.

Supported Languages (50+)

Our OCR engine supports over 50 languages including:

How to Use OCR PDF Tool

Using our OCR tool is simple and straightforward:

1. Upload your file: Click the "Choose File" button and select a PDF, JPG, PNG, or other image file.
2. Select languages: Hold Ctrl/Cmd and click to select one or multiple languages that appear in your document.
3. Start OCR: Click the "Start OCR" button and watch the progress bar as we extract text from your document.
4. Download or copy: Once complete, you can download the extracted text as a .txt file or copy it to clipboard.

Frequently Asked Questions

❓ Is OCR PDF tool really free?

Yes, absolutely! Our OCR PDF tool is completely free with no hidden charges, no signup required, and no usage limits. You can process as many documents as you need, whenever you need.

❓ Which file formats are supported?

We support all common document and image formats including PDF, JPG, JPEG, PNG, BMP, and TIFF. Whether you have a scanned PDF or a photo of a document, our tool can extract text from it.

❓ How accurate is the OCR?

Accuracy depends on the quality of your source document. For clear, high-resolution scans of printed text, accuracy can exceed 99%. For handwritten text or low-quality images, accuracy may be lower. Using multiple language selection can significantly improve recognition accuracy.

❓ Can I extract text from handwritten documents?

Yes, our OCR engine includes handwriting recognition capabilities. However, for best results, we recommend using clear, legible handwriting and selecting the appropriate language.

❓ Is my data secure?

Your privacy is our top priority. All OCR processing happens locally in your browser using WebAssembly. Your files are never uploaded to any server, and once you close the page, all data is permanently deleted from your device.

❓ What is the maximum file size?

Since processing happens locally, the maximum file size depends on your device's memory. Generally, files up to 50MB work well on most devices. For very large PDFs, we recommend processing them in smaller batches.

❓ Does it work on mobile devices?

Yes! Our OCR PDF tool is fully responsive and works on smartphones and tablets. You can take a photo of a document with your phone and extract text directly in your mobile browser.

Common Use Cases

• Digitizing books and documents: Convert old scanned books into searchable digital text.
• Extracting text from invoices: Pull vendor names, amounts, and dates from scanned invoices.
• Translating signs and menus: Take a photo of a sign in a foreign language and extract text for translation.
• Converting handwritten notes: Digitize your handwritten notes for easy searching and backup.
• Accessibility: Convert printed materials to text for screen readers and assistive technology.
• Data entry automation: Extract text from forms and documents to reduce manual typing.

Technical Details

Our OCR PDF tool uses the powerful Tesseract.js OCR engine, which is a pure JavaScript port of the popular Tesseract OCR engine. It runs entirely in your browser using WebAssembly, providing fast, accurate recognition without any server-side processing. PDF processing is handled by PDF.js, Mozilla's open-source PDF rendering library.

Privacy & Security

We believe that your documents are your private property. That's why we designed our tool to work completely offline. No files are uploaded, no data is collected, and no tracking cookies are used. You can even download the entire tool and use it without an internet connection after the initial load.