Private OCR — Image to Text Converter

Extract text from images and screenshots entirely in your browser.

Paste a screenshot or drop image files, pick from 11 languages, and get editable text with per-word confidence highlighting — 100% private, nothing is ever uploaded.

Last updatedHow we build & check our tools
100% private — your images are processed entirely in your browser with Tesseract.js. Nothing you provide is ever uploaded.

First use downloads ~15 MB of Englishdata, then it's cached for next time.

Drop images here, click to choose files, or paste a screenshot (Ctrl/⌘+V)

PNG, JPG, WebP, BMP, GIF — add several to process them as a queue.

How This Tool Works

Our Private OCR engine operates entirely within your browser, ensuring that sensitive images never leave your local machine. When you paste a screenshot or drop an image file, the tool performs sophisticated Optical Character Recognition (OCR) analysis.

It doesn't just detect characters; it interprets layout and structure across 11 supported languages. The process involves several steps: first, analyzing the image pixels to identify potential text areas; second, using advanced machine learning models to translate those patterns into recognized glyphs (letters); and third, structuring that output into clean, editable text.

The resulting text is immediately available for copying, complete with per-word confidence highlighting. This unique feature allows you to instantly see which words the AI was most certain about, making verification quick and efficient.

Why This Matters

The primary benefit of using our tool is the perfect combination of high accuracy and absolute privacy. Unlike cloud-based OCR services that require uploading data to external servers, everything happens locally in your browser.

This means you can process highly confidential documents—such as medical reports or internal meeting minutes—without any risk of data exposure. Furthermore, the per-word confidence scoring is crucial for professional use. If a section has low confidence (e.g., due to handwriting), you are immediately alerted, preventing costly transcription errors.

This capability saves time and protects your data integrity simultaneously, making it an essential tool for researchers, legal professionals, and anyone handling sensitive visuals.

Common Mistakes to Avoid

While our tool is robust, the quality of the output heavily depends on the input image. Here are two common mistakes users make:

  • Poor Image Resolution: Scanning documents at low DPI (dots per inch) or using blurry screenshots will significantly lower the OCR accuracy, regardless of our advanced algorithms.
  • Overlapping Text/Graphics: If text is placed directly over complex background graphics (like watermarks or charts), the AI may struggle to isolate the characters accurately. Try cropping images to focus only on the pure text blocks.

Remember, even if the tool supports 11 languages, ensure you are selecting the correct language profile before conversion for optimal results.

Tips for Best Results

To maximize the accuracy and efficiency of your OCR session, consider these best practices:

  • Use High-Contrast Images: Optimal results come from clear images with high contrast between the text and background (e.g., black ink on white paper).
  • Pre-Crop Your Files: Before uploading, use basic image editing tools to crop out unnecessary margins or surrounding graphics. This reduces noise for the OCR engine.
  • Batch Process Similar Documents: If you have multiple pages of the same type (e.g., receipts), processing them in a single batch can help maintain consistency and speed up your workflow.

Always review sections with low confidence highlighting, especially when dealing with handwritten notes or complex layouts.

Frequently Asked Questions

Common questions about the Private OCR — Image to Text Converter

Yes, your privacy is our top priority. The tool processes images entirely within your browser environment, meaning no files or text are ever uploaded to our servers. Your data remains 100% private.
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