Extract Text from Images Locally: Free Secure OCR

Image loaded
Screenshot preview

Extracted Text

Paste, drag or drop a screenshot

PNG, JPEG, WebP · Max 10 MB

or press Ctrl+V

100% private — runs in your browser, no uploads

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Why Screenshot OCR?

Retyping text from screenshots is slow and error-prone. Screenshot OCR extracts text from any image instantly — using on-device optical character recognition powered by Tesseract.js.

Key Features

  • 📋 Paste from Clipboard: Hit Ctrl+V (or Cmd+V) anywhere on the tool to extract text from a screenshot you just took.
  • 🖱️ Drag & Drop: Drop an image file directly onto the tool — no file picker needed.
  • 📁 File Select: Choose any PNG, JPEG, or WebP image from your device — it never leaves your browser.
  • 🔗 Smart Extraction: Automatically detects and lists all URLs, email addresses, and phone numbers found in the text, each with a copy button.
  • ✂️ Text Cleaning: One click removes extra blank lines, merges awkwardly split OCR lines, and trims whitespace.
  • 💾 Download as .txt: Save the extracted text as a plain text file, named with the current timestamp.
  • 🔒 100% Private: All processing happens in your browser. No image is uploaded. No data is stored.

How to Use

  1. Load an image: Paste (Ctrl+V), drag and drop, or click to browse your files.
  2. Wait for OCR: The tool processes the image locally — usually under 8 seconds for a typical English screenshot.
  3. Review the text: Edit directly in the text panel if needed.
  4. Extract info: URLs, emails, and phone numbers are automatically listed below.
  5. Copy or download: Copy the text to clipboard or download as a .txt file.

Frequently Asked Questions

Common questions about using Extract Text from Images Locally: Free Secure OCR.

How to extract text from images without uploading to a server?

You can use a client-side OCR tool like Screenshot OCR, which leverages WebAssembly and Tesseract.js. This allows your browser to process the image locally on your device, ensuring complete privacy since no data is ever transmitted to a server.

What are common use cases for a free OCR tool?

Students use it to digitize lecture slides, professionals use it to extract text from uncopyable PDFs or error messages, and developers use it to quickly grab data from application screenshots.

Can I use this to extract details from a business card?

Yes! Simply snap a picture of a business card and drop it into the tool to instantly extract names, phone numbers, and email addresses into editable text.