Image to Text (OCR)
Extract editable text from a photo, scan, or screenshot — free, private.
Drag & drop an image here, or click to browse
How to Use the Image to Text (OCR)
- Upload Image: Import any clear photo, scanned document, or UI screenshot.
- Extract Content: Click "Extract Text" to trigger client-side OCR text recognition.
- Copy Text: Review the extracted editable plain text and copy it directly to your clipboard.
Why Use This Tool
Extracting text from an image online for free, privately, without a signup, is exactly what this browser-based OCR tool is built for. Whether you're converting a screenshot or a photo image to editable text, this offline-capable optical character recognition engine runs the whole process without ever sending your picture to a cloud service. It removes the need to manually retype a full paragraph just because it exists only as an image or scan.
How It Works
This picture-text extractor and photo-to-text converter loads a full optical character recognition engine directly into your browser, analyzing the uploaded image pixel by pixel to detect and extract readable characters. It's a free, private alternative to Brandfolder OCR and OnlineOCR services that typically require uploading your document to a remote server first.
Key Features
The image-word-reader handles printed text from photos, scanned documents, and UI screenshots reasonably well, showing a live progress percentage while the recognition engine works. Because the extracted text lands in an editable, copyable output box, you can immediately paste it into a document, search engine, or translation tool without retyping anything manually. No file size cap is enforced beyond your browser own memory limits, and the extraction works offline once the recognition engine has loaded once. A language selector now supports English, Urdu, Hindi, Bengali, Arabic, French, Spanish, and Simplified Chinese, a live image preview and progress bar show exactly what's happening, and you can copy the result or download it as a TXT file with one click.
Common Use Cases
Students photograph a textbook page and extract the text for quick note-taking or searching. Professionals digitize a printed business card or document by extracting the text into an editable format. Researchers pull quotes from a photographed book page without manually retyping them, and anyone with a screenshot full of text can extract it to copy elsewhere. Journalists pull quotes from a photographed printed article without manually transcribing every sentence.
Tips for Best Results
Clear, well-lit, high-contrast images produce the most accurate extraction — blurry or low-resolution photos will result in more recognition errors. Straight-on shots without an angled perspective also help the recognition engine read each line correctly. Cropping out unnecessary background before uploading can also improve accuracy by helping the engine focus only on the relevant text region.
Privacy & Security
Because ToolNest processes everything entirely within your browser using client-side JavaScript, your files never leave your device. There is no server-side storage, no third-party analytics attached to your data, and no risk of a breach exposing files you processed months ago.
How do I extract text from a photo without uploading it to a cloud server?
Upload the image locally, and the OCR engine loaded into your browser processes it entirely on your device.
Does browser OCR support clean handwritten or scanned documents?
It works best on printed text; handwritten text recognition is generally less accurate with browser-based OCR engines.
Why does the first OCR extraction take longer than expected?
The recognition engine needs to load into your browser the first time you use it, then processes faster on subsequent uses.
Can I extract text from a screenshot as well as a photo?
Yes, the tool works on any image type your browser can open, including screenshots.