Screenshot to Text (OCR)

Q: Is my data private?

Yes. All image processing happens locally in your browser using Tesseract.js. Your images are never uploaded to any server.

Q: Can it handle handwriting?

Printed text yields 95%+ accuracy. Neat handwriting may achieve 70-85%. Cursive or stylized writing is less reliable.

Q: What image formats are accepted?

JPG, PNG, GIF, WebP, BMP, and TIFF. Most images under 20MB work smoothly. Drag-and-drop, click, and clipboard paste are all supported.

Q: How long does OCR processing take?

A typical 1920x1080 screenshot takes 3-8 seconds on modern hardware. The first run may be slightly longer as the language model downloads and caches.

Q: Can I extract text from a specific region?

Currently the entire image is processed. Crop your image to the desired area before uploading for region-specific extraction.

Q: Does it work on mobile devices?

Yes, fully responsive on mobile browsers. You can upload from camera roll or take a new photo. Processing may be slower on older mobile devices.

Extract text from images and screenshots using OCR technology. Upload an image and the tool reads the text for you — no signup required.

Drop image here or click to upload

Supports JPG, PNG, GIF, WebP · Also supports Ctrl+V paste

Language:

Upload an image to extract text using OCR.

How to Use

Upload your image — Click the upload area, drag & drop an image, or press Ctrl+V / Cmd+V to paste a screenshot from your clipboard.

Select the language — Choose the language of the text in your image from the dropdown for better accuracy.

Wait for OCR — The progress bar shows recognition status. When complete, the extracted text appears in the output box.

Copy or download — Use the Copy button to copy the text to your clipboard, or Download TXT to save it as a plain text file.

What Is OCR?

OCR (Optical Character Recognition) converts different types of documents — scanned paper documents, PDF files, or images captured by a digital camera — into editable and searchable data. Our tool uses Tesseract.js, an open-source OCR engine compiled to JavaScript. Everything runs in your browser: your images never leave your device.

How It Works

The tool processes images entirely in your browser using a multi-step pipeline:

Image Input — Drag and drop, click to upload, or paste from clipboard (Ctrl+V / Cmd+V). Supports JPG, PNG, GIF, WebP, BMP.
Preprocessing — The image is converted to grayscale and contrast-enhanced to improve recognition accuracy.
Text Recognition — Tesseract.js analyzes the preprocessed image, identifying text regions, characters, and words.
Result Output — Extracted text appears in an editable textarea. Copy to clipboard or download as a plain text file.

Tips for Better Results

Use high-resolution images — Screenshots at 2x or 3x retina resolution produce better results than low-res captures.
Ensure good contrast — Dark text on a light background (or vice versa) works best. Avoid low-contrast gradients behind text.
Crop to the text area — Removing unnecessary whitespace and non-text elements improves both speed and accuracy.
Select the correct language — Choosing the right language model prevents garbled output for non-English text.
Printed text works best — Printed or typed text consistently yields the highest accuracy (95%+ for clean images).

Common Use Cases

Extract text from screenshots — Copy error messages, code snippets, or UI text from screenshots without retyping.
Digitize printed documents — Convert scanned pages, book excerpts, or printed forms into editable text.
Process receipts and invoices — Extract purchase amounts, dates, and vendor names for expense tracking.
Convert whiteboard photos — Save meeting notes and brainstorm diagrams as searchable text.
Read text from images on social media — Extract captions and overlaid text from Instagram, Twitter, or LinkedIn posts.

Frequently Asked Questions

What languages are supported?

Our OCR engine supports over 100 languages including English, Spanish, French, German, Chinese (Simplified and Traditional), Japanese, Korean, Arabic, Hindi, Portuguese, Russian, and many more. You can select the language from the dropdown before starting recognition for best results.

Is my data private?

Yes, completely. All image processing happens locally in your browser using Tesseract.js. Your images are never uploaded to any server. The recognition runs entirely on your device using WebAssembly, and no data leaves your browser at any point.

Can it handle handwriting?

Handwriting recognition accuracy varies depending on writing clarity and style. Printed or typed text consistently yields 95%+ accuracy. Neat, consistent handwriting may achieve 70-85% accuracy, while highly stylized or cursive writing will be less reliable.

What image formats are accepted?

We support all common image formats: JPG/JPEG, PNG, GIF, WebP, BMP, and TIFF. Most screenshots and photos under 20MB work smoothly. Drag-and-drop, click-to-upload, and clipboard paste (Ctrl+V / Cmd+V) are all supported.

How long does OCR processing take?

Processing time depends on image size, text density, and your device performance. A typical screenshot (1920x1080) takes 3-8 seconds on modern hardware. The first recognition may take slightly longer as the language model downloads and caches.

Can I extract text from a specific region?

Currently, the tool processes the entire image. For region-specific extraction, crop your image to the desired area before uploading using your system's built-in screenshot tool. We are working on adding an interactive crop feature in a future update.

Does it work on mobile devices?

Yes, the tool is fully responsive and works on mobile browsers. You can upload images from your camera roll or take a new photo directly. OCR processing on mobile may be slower due to hardware limitations.

Screenshot to Text (OCR)

Frequently Asked Questions

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