🔍 OCR - Extract Text

Extract text from images and PDFs using advanced OCR technology

📷

Drop your image here

or click to browse from your computer

Supports: JPG, PNG, WebP, BMP, GIF

About OCR Tool - Extract Text from Images & PDFs

OCR (Optical Character Recognition) is a professional, browser-based tool for extracting text from images and PDF documents. The application runs entirely client-side using Tesseract.js and PDF.js libraries, ensuring complete data privacy as no files are uploaded to external servers.

This tool is designed for users who need to digitize printed documents, extract text from screenshots, or convert scanned PDFs into editable text format while maintaining full control over their data without compromising security or requiring software installation.

Technical Capabilities

  • ▸ Tesseract.js OCR Engine: Powered by Tesseract v5, the industry-standard open-source OCR engine, compiled to WebAssembly for browser execution.
  • ▸ Multi-Language Support: 11+ languages including English, Hindi, Spanish, French, German, Italian, Portuguese, Russian, Japanese, Chinese Simplified, and Arabic.
  • ▸ PDF Processing: Uses PDF.js to render PDF pages to canvas at 2x scale, then applies OCR to each page individually for maximum accuracy.
  • ▸ Image Enhancement: Pre-processing options include contrast boost, grayscale conversion, sharpening, and color inversion to improve OCR accuracy.
  • ▸ Export Formats: Extracted text can be copied to clipboard, downloaded as TXT, or saved as DOCX format.
  • ▸ Complete Privacy: Zero network requests during processing; all OCR happens locally in your browser using WebAssembly and JavaScript.

How to Use

1 Select File Type and Upload

File Type Selection:

  • 📷 Images Tab: For JPG, PNG, WebP, BMP, and GIF files.
  • 📄 PDFs Tab: For PDF documents (all pages will be processed).

Upload Methods:

  • File Picker: Click "Select File" button to browse your device.
  • Drag & Drop: Drag files directly onto the upload zone.

Technical Note: Files are processed entirely in your browser. For PDFs, each page is rendered to a canvas before OCR processing.

2 Configure OCR Settings

Language Selection:

  • Choose from 11+ supported languages including English, Hindi, Spanish, French, German, and more.
  • Selecting the correct language significantly improves OCR accuracy.

Image Enhancements:

  • 🔆 Boost Contrast: Increases contrast to make text more distinct (recommended).
  • ⬛ Grayscale: Converts to grayscale, often improving OCR accuracy (recommended).
  • 🔍 Sharpen: Enhances edges for clearer text recognition.
  • 🔄 Invert Colors: Useful for white text on dark backgrounds.

Tip: The default enhancements (Contrast + Grayscale) work well for most documents. Experiment with settings for optimal results.

3 OCR Processing

Processing Stages:

  1. Loading OCR Engine (Tesseract.js)
  2. Downloading language data for selected language
  3. Preprocessing image (applying enhancements)
  4. For PDFs: Rendering each page to canvas at 2x scale
  5. Extracting text using OCR engine
  6. Combining results (for multi-page PDFs)

Progress Tracking:

  • Real-time progress bar showing completion percentage
  • Status messages for each processing stage
  • For PDFs: Page-by-page progress indication

Performance: Processing time depends on image resolution, PDF page count, and selected language. Typical processing: 2-10 seconds per page.

4 Export and Save Results

Results Display:

  • View extracted text in editable text area
  • Statistics: Word count, character count, processing time
  • For PDFs: Page markers showing source page numbers

Export Options:

  • 📋 Copy to Clipboard: One-click copy for immediate use
  • 💾 Download as TXT: Plain text file download
  • 📄 Download as DOCX: Microsoft Word compatible format

Privacy Guarantee: All processing happens locally. Your files and extracted text never leave your browser.

Professional Use Cases

Business Documentation

Extract text from scanned contracts, invoices, receipts, and business cards. Convert printed reports into editable digital format for easy editing and archival.

Academic Research

Digitize printed books, research papers, and handwritten notes. Extract quotes and references from scanned academic materials for citations and literature reviews.

Legal Documents

Extract text from scanned legal documents, court filings, and historical records. Convert image-based PDFs to searchable, editable text for case preparation and analysis.

Data Entry Automation

Automate data extraction from forms, surveys, and applications. Convert printed tables and spreadsheets into digital format for database import and analysis.

❓ Frequently Asked Questions

Is this OCR tool free?

Yes, completely free with unlimited usage. No watermarks, no signup required, no hidden costs.

What file formats are supported?

Supports images (JPG, PNG, WebP, BMP, GIF) and PDF documents. PDFs are automatically converted page-by-page for OCR processing.

Which languages does the OCR support?

11+ languages including English, Hindi (हिंदी), Spanish, French, German, Italian, Portuguese, Russian, Japanese, Chinese Simplified, and Arabic.

Do you upload my files to a server?

No, all OCR processing happens in your browser using Tesseract.js. Your files never leave your device. Zero network activity during processing.

How accurate is the OCR?

Powered by Tesseract v5, accuracy depends on image quality, text clarity, and language selection. High-quality scans typically achieve 95%+ accuracy. Use image enhancements for better results.

Can I process multiple PDFs at once?

Currently, one file at a time. However, multi-page PDFs are supported - all pages will be processed sequentially with page markers in the output.

`; const blob = new Blob([htmlContent], { type: 'application/vnd.openxmlformats-officedocument.wordprocessingml.document' }); const url = URL.createObjectURL(blob); const a = document.createElement('a'); a.href = url; a.download = 'extracted_text.doc'; a.click(); URL.revokeObjectURL(url); } // Reset tool function resetTool() { selectedFile = null; fileInput.value = ''; document.getElementById('extractedText').value = ''; document.getElementById('progressBar').style.width = '0%'; document.getElementById('progressText').textContent = '0%'; switchToStage('upload'); } // Reset to upload stage (from settings) function resetToUpload() { selectedFile = null; fileInput.value = ''; switchToStage('upload'); } // Format file size function formatFileSize(bytes) { if (bytes < 1024) return bytes + ' B'; if (bytes < 1024 * 1024) return (bytes / 1024).toFixed(1) + ' KB'; return (bytes / (1024 * 1024)).toFixed(1) + ' MB'; } // Handle URL parameters for deep linking window.addEventListener('DOMContentLoaded', () => { const urlParams = new URLSearchParams(window.location.search); const fileType = urlParams.get('type'); // 'image' or 'pdf' if (fileType === 'pdf') { // Activate PDF tab document.querySelectorAll('.tab-btn')[1].click(); } else if (fileType === 'image') { // Activate image tab (default) document.querySelectorAll('.tab-btn')[0].click(); } });