Free OCR Tool Online

Extract text from images using OCR technology. Supports multiple languages and handwritten text.

Last updated

OCR — optical character recognition — turns an image of text into actual editable text. The use case is everywhere once you start looking: a screenshot of an error message you want to paste into a Google search, a photo of a printed receipt you need to log in a spreadsheet, a scanned PDF of a contract whose text someone needs to quote, a phone shot of a whiteboard at the end of a meeting, a textbook page you need to cite, a foreign-language menu you want to translate. Our OCR tool runs the recognition entirely in your browser, which means images of payslips, ID cards, contracts, and medical reports never get uploaded anywhere — this is the difference between OCR you can use on confidential documents and OCR you cannot. Image quality is the single biggest factor in accuracy. Best results come from high-contrast, well-lit images with text that is roughly horizontal: a phone scan taken straight-on under good lighting hits 95%+ accuracy on printed Latin-alphabet text. Quality drops when the image is blurry, the lighting is uneven (one side dark, one side bright), the text is rotated more than about 15 degrees, the contrast is low (gray text on a gray background, faint pencil, faded receipts), or the source is handwritten (the engine is trained on printed type and treats handwriting as approximate). Supported inputs include JPG, PNG, WebP, GIF, and BMP; text is extracted as Unicode and copied to your clipboard with one click. Common workflows: digitizing printed receipts for expense tracking, extracting quotes from screenshots of articles, converting scanned book pages into searchable text, pulling phone numbers and addresses out of business card photos, and getting the text out of a PDF that turned out to be a scan rather than a real PDF.

How to Use OCR Tool

1

Upload Image

Drag and drop an image containing text, or click to browse your files.

2

Extract Text

Click extract to perform OCR analysis on your image.

3

Copy Text

Copy the extracted text to clipboard for use in documents, emails, or applications.

Features

Image Text Extraction

Extract printed text from photos, screenshots, and scanned documents.

Multiple Formats

Supports JPG, PNG, WebP, GIF, and BMP image formats.

Copy to Clipboard

One-click copy for extracted text to paste anywhere.

Local Processing

All OCR processing happens in your browser. Your images stay on your device.

Benefits of Using OCR Tool

Completely Free

Use OCR Tool without any cost, limits, or hidden fees. No premium plans needed.

No Installation

Works directly in your browser. No software downloads or plugins required.

100% Private

Your files and data are processed locally. Nothing is uploaded to external servers.

Works Everywhere

Compatible with Chrome, Firefox, Safari, Edge on desktop, tablet, and mobile.

No Sign-Up

Start using the tool immediately. No account creation or email verification.

Always Available

Access this tool 24/7 from anywhere in the world, on any device.

Frequently Asked Questions

A high-resolution scan or phone photo taken straight-on, in even lighting, with the text horizontal and the page filling most of the frame. Good contrast (dark text on a light background) is critical — gray-on-gray, faded receipts, and shiny laminated surfaces all reduce accuracy significantly. If your photo is rotated, crop and rotate it in any image editor before uploading; the OCR engine is most accurate within ±5 degrees of horizontal.
Only approximately. The recognition model is trained on printed type fonts, not handwriting. Block-printed handwriting in capitals on lined paper sometimes works; cursive handwriting almost never works reliably. For high-quality handwriting recognition, dedicated handwriting OCR services with specifically trained models (like Google's Cloud Vision handwriting API) are the right tool.
Yes — that is one of the most common reasons people need OCR. The "PDF" you have is actually an image embedded in a PDF wrapper (a scanned document). Convert the PDF page to an image first (a screenshot works in a pinch, or export the page from any PDF reader as PNG), then upload the image here. The extracted text can then be pasted into Word, Notes, or anywhere else.
English and other Latin-alphabet languages (Spanish, French, German, Italian, Portuguese, Dutch, Polish, etc.) work reliably. Accented characters and the extended Latin set are recognized correctly. Non-Latin scripts (Arabic, Chinese, Japanese, Korean, Cyrillic, Hebrew, Devanagari) work only partially with the default model — for those, dedicated language-specific OCR engines produce dramatically better results.