OCR to Text Guide

What this tool is for

OCR (Optical Character Recognition) reads the text inside an image and converts it into editable, copyable digital text. This tool uses the Tesseract OCR engine — the same technology used by Google and many enterprise applications — to accurately recognize printed text in over 10 languages, right inside your browser.

When you should use it

Digitizing receipts, invoices, or paper documents into spreadsheets; extracting text from a PDF screenshot that won't let you select text; copying code from a programming tutorial video screenshot; translating text from a photo of a sign or menu; or safely extracting text from sensitive documents without cloud uploads.

Step-by-step instructions

• Select the correct document language from the dropdown menu — this is the most important step for accuracy.
• Upload your image or document scan. High-contrast images with clear text give the best results.
• Wait while the local Tesseract engine processes the image. First-time use downloads language data, which takes a few seconds.
• The extracted text appears in an editable text box on the right side of the screen.
• Manually correct any recognition errors, then click 'Copy Text' to use it.

How it works & Privacy

We use a WebAssembly (WASM) port of the industry-standard Tesseract OCR engine, running 100% locally in your browser. The image is first preprocessed to enhance contrast, then analyzed line-by-line using trained neural network models for each language. The entire computation happens on your CPU — no data leaves your device.

Common Mistakes to Avoid

• Uploading a very blurry or low-resolution scan — Tesseract requires sufficient resolution (ideally 300 DPI or higher) to reliably distinguish individual characters. Re-scan at higher resolution if possible.
• Choosing the wrong language — selecting German when your document is in English will produce garbled output. Always match the language setting to your document's actual language.
• Expecting perfect handwriting recognition — Tesseract is optimized for printed (typed) text. Handwritten text, cursive, and unusual fonts may have much lower accuracy.
• Using very complex page layouts — two-column text, tables with overlapping cell borders, or heavily formatted text may have its reading order confused. Extract simpler regions separately for complex layouts.

Frequently Asked Questions