Screenshot to Text OCR - Free Online OCR Tool

Extract text from screenshots, photos, and scanned documents instantly with our powerful client-side OCR tool. No uploads required — everything runs directly in your browser for complete privacy.

What is OCR (Optical Character Recognition)?

OCR (Optical Character Recognition) is technology that converts different types of documents — such as scanned paper documents, PDF files, or images captured by a digital camera — into editable and searchable data. Our Screenshot to Text OCR tool brings this powerful technology directly to your browser, requiring no server uploads or accounts.

How to Use the Screenshot to Text OCR Tool

1. Upload an image — Drag and drop or click to select a screenshot, photo, or scanned document
2. Select language — Choose from 50+ supported languages (multiple languages can be selected simultaneously)
3. Configure preprocessing — Apply image filters like grayscale, contrast enhancement, or thresholding for better accuracy
4. Extract text — Click "Extract Text" and watch as the OCR engine processes your image
5. Edit and export — Review the extracted text, make edits if needed, and export in your preferred format

Key Features

Multi-Language Support

Supports 50+ languages including English, Spanish, French, German, Chinese, Japanese, Korean, Arabic, Hindi, and many more. Select multiple languages for documents with mixed text.

Image Preprocessing

Enhance OCR accuracy with built-in preprocessing filters:

• Grayscale — Convert to grayscale for better text contrast
• High Contrast — Increase contrast to make text stand out
• Threshold — Binary black/white conversion for clean text extraction
• Sharpen — Enhance edges for clearer character recognition
• Denoise — Remove noise and artifacts from scanned images

Advanced OCR Settings

• Engine Mode — Choose between LSTM (best accuracy), Legacy (faster), or Combined mode
• Page Segmentation — Control how the engine segments the page (auto, single line, single word, etc.)
• Color Inversion — Automatically handle white text on dark backgrounds

Word-Level Confidence Scores

See confidence scores for every word, line, and text block. This helps you quickly identify areas where OCR accuracy might be lower, such as handwritten text or unusual fonts.

Multiple Export Formats

Export your extracted text in multiple formats:

• Plain Text (.txt) — Simple text output
• JSON — Structured data with word coordinates and confidence scores
• CSV — Spreadsheet-compatible format with position data
• HTML — Formatted document with styling
• Markdown — Lightweight markup format

Batch Processing

Process multiple images at once with our batch processing mode. Upload dozens of screenshots and extract text from all of them in a single session.

Comparison View

Compare the original image with the preprocessed version using side-by-side, slider, or overlay comparison modes. This helps you verify that preprocessing is improving OCR accuracy.

Why Choose Our OCR Tool?

• 100% Client-Side — All processing happens in your browser. No images are sent to any server.
• No Registration Required — Start extracting text immediately without creating an account.
• Free to Use — No hidden fees, no watermarks, no usage limits.
• Privacy-First — Your documents never leave your device. Perfect for sensitive or confidential content.
• Fast Processing — Leveraging WebAssembly for near-native performance in the browser.

Use Cases

• Screenshots — Extract text from app screenshots, error messages, or UI elements
• Scanned Documents — Digitize paper documents, receipts, or invoices
• Photos of Text — Extract text from photos of whiteboards, books, or signs
• PDF Scans — Pull text from scanned PDF pages
• Social Media — Extract text from memes, posts, or screenshots
• Code Snippets — Convert code screenshots into copyable text
• Multi-language Documents — Process documents with text in multiple languages

Supported Image Formats

PNG, JPEG, WebP, BMP, GIF, and TIFF images are all supported. For best results, use high-resolution images with clear, legible text.

OCR Accuracy Tips

1. Use high-resolution images — At least 300 DPI for scanned documents
2. Apply preprocessing — Use grayscale or contrast enhancement for low-quality images
3. Select the right language — Choose the correct language for better character recognition
4. Use threshold for clean text — Binary thresholding works well for black text on white background
5. Try different PSM modes — If auto mode doesn't work well, try specific page segmentation modes