Screenshot to Text — Extract Text from Screenshots
Copy text from screenshots using OCR. Paste a screenshot and extract all text instantly. Free and private.
Extract text from screenshots instantly. Copy text from error messages, chat conversations, social media posts, or any screen capture where you can't select the text directly. The OCR engine handles any font and background.
Drop an image to extract text
Supports JPG, PNG, WebP, BMP, TIFF
How It Works
Upload an image containing text — a photograph, screenshot, scanned document, or receipt. Select the language of the text, then click Extract. The tool uses Tesseract.js, an open-source OCR engine maintained by Google, to recognize and extract the text character by character.
The extracted text appears in an editable text area where you can review and correct any recognition errors. Copy the text to clipboard, download as a .txt file, or edit it directly before saving. The tool shows a confidence score indicating overall recognition accuracy.
Features
- ✓Supports 10+ languages including English, German, French, Spanish, Japanese, Chinese, and Korean
- ✓Real-time progress bar during text recognition
- ✓Confidence score for recognition accuracy assessment
- ✓Editable text output — review and fix errors before saving
- ✓Copy to clipboard or download as .txt file
- ✓Works with photos, screenshots, scanned documents, and receipts
- ✓Runs entirely in your browser — no text or images are sent to any server
How to Use This Tool
- Upload an image containing text — photos, screenshots, scanned documents, and receipts all work.
- Select the language of the text in the image. This ensures the correct recognition model is loaded.
- Click "Extract" and wait for Tesseract.js to process the image. Progress is shown in real time.
- Review the extracted text, edit any errors, then copy to clipboard or download as a .txt file.
Perfect For
- →Office workers extracting text from scanned documents, faxes, and printed memos for digital archiving
- →Students converting textbook photos and lecture slides into searchable, editable text for study notes
- →Accountants extracting amounts and details from scanned receipts and invoices for expense tracking
- →Researchers digitizing printed academic papers and historical documents for text analysis
- →Developers extracting text from screenshots for bug reports, documentation, and code snippets
- →Translators extracting source text from image-only documents for translation workflows
Under the Hood
The tool uses Tesseract.js, a JavaScript port of Google's Tesseract OCR engine. Tesseract uses a two-pass recognition approach: first a connected component analysis identifies character boundaries, then a trained LSTM (Long Short-Term Memory) neural network classifies each character. The language model files (~1-5MB each) are downloaded on first use and cached by the browser for subsequent sessions.