Screenshot to Data (OCR) — Extract Text from Images
Extract text from screenshots and images using client-side OCR. Runs entirely in your browser via Tesseract.js — no uploads, maximum privacy.
Upload Screenshot
Extracted Text
Click Extract Data to run OCR on the uploaded image.
Frequently Asked Questions
- No. All OCR processing happens entirely in your browser using Tesseract.js. Your image never leaves your device.
- PNG, JPG, and WebP images are supported. Drag and drop an image or click the drop zone to browse.
- Accuracy depends on image quality, text clarity, and language. Clear, high-contrast screenshots yield the best results.
- Tesseract.js runs entirely client-side once loaded. Your image never leaves your device.
Use Cases
Screenshot to Data (OCR) is a free developer tool that extracts machine-readable text from images using optical character recognition. Upload a screenshot, scanned document, photo, or any image containing text, and the tool converts it into editable, searchable, copy-pasteable content without manual retyping. Built for developers, QA engineers, technical writers, and anyone who needs data from visual sources, it processes files client-side so your images never leave your device.
OCR bridges the gap between visual information and structured data. Developers use it to recover text from legacy screenshots, digitize API response captures, extract error messages from crash logs, and convert UI mockups into copy. Because it runs in the browser, there is no API key to manage, no rate limit to hit, and no installation required.
Client-side processing means your screenshots stay on your machine. Nothing is uploaded to a remote server, so sensitive logs, private API responses, and internal design assets remain confidential. No account, no API key, and no subscription are required, making it suitable for quick one-off extractions as well as repeated use in development workflows.
Use Cases
- Extracting text from application screenshots for documentation, changelogs, and release notes
- Converting scanned receipts, invoices, and contracts into searchable digital records
- Recovering copy from design mockups and image-based product specifications
- Digitizing terminal output, log files, and error screenshots for faster debugging
- Translating image-based technical content into editable code comments or support tickets
- Pulling data from charts, dashboards, and image-only reports into spreadsheets
How-To
- Open the Screenshot to Data (OCR) tool in your browser
- Upload or drag-and-drop an image containing text
- Wait for optical character recognition to process the file
- Review the extracted text output for accuracy
- Copy the result to your clipboard or export it to your project
Supported formats include PNG, JPG, JPEG, WEBP, and common screenshot exports. For best results, use high-contrast images with clear, legible text, and avoid heavy blur, low resolution, or extreme rotation. The extracted output can be pasted directly into code editors, spreadsheets, tickets, or CMS fields, turning static visuals into usable developer data in seconds.