Is my document uploaded when I use this OCR tool?

Yes — it is uploaded. The image is sent to a third-party OCR service (OCR.space), which performs the recognition and returns the text; you can verify this by opening your browser's Developer Tools (F12) → Network tab and watching the upload request. We store nothing and no account is required, but the image does leave your device. Do not use this tool for medical records, legal contracts, financial statements or ID documents — use a desktop OCR application for those.

What is the difference between OCR and PDF text extraction?

PDF documents come in two types: (1) Text-based PDFs where text is stored as actual digital characters that can be selected, copied, and searched. (2) Image-based PDFs (commonly created by scanning paper documents) where each page is a bitmap image — text exists only as pixels and cannot be selected without OCR. For type 1 PDFs, use our PDF to TXT converter for perfect, instant extraction. For type 2 (scanned) PDFs, convert to image first (screenshot or PDF-to-image tool), then use our OCR tool. The OCR step is only needed when text exists as pixels, not as digital characters.

Why does recognition need an internet connection?

Recognition itself runs on a third-party OCR service, so the image has to be uploaded and the result downloaded — both need a connection. Recognition usually takes a few seconds; if nothing comes back within 30 seconds the request is abandoned and you can just try again. The service is called with a public demo key, so it is rate limited and occasionally unavailable, which is one more reason an attempt can fail.

Can OCR read handwriting?

Tesseract can recognize printed block handwriting (clear, separated letters similar to printed text) with moderate accuracy. Cursive handwriting, overlapping letters, or informal handwriting is significantly less accurate with Tesseract because it's primarily trained on printed text. For handwriting recognition, dedicated handwriting OCR services (such as Google Cloud Vision API or Microsoft Azure Computer Vision) use specialized neural network models that significantly outperform Tesseract for handwritten content. Use our tool for printed or typed documents and photographs of signage; use specialized services for handwriting-heavy content.

Utility Tools2026-05-10

OCR Tool — Extract Text from Images Free Online

Optical Character Recognition (OCR) is the technology that reads text from images and converts it into editable, selectable digital text. Before OCR, digitizing a printed document required manually retyping every word. Today, OCR enables instant text extraction from scanned documents, photos of signs, screenshots of non-copyable content, and images of receipts, business cards, or handwritten notes. Our OCR tool sends the image to an online OCR service and shows you the text that service returns, usually within a few seconds. Because recognition runs on that service, the image you choose is uploaded to it and only the recognised text comes back to your browser. No account is required, but the image does leave your device — so do not run medical forms, legal contracts, financial statements or ID documents through it.

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OCR Tool

Free · No registration

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Step-by-Step Guide

Select your recognition language

Choose English, Simplified Chinese (简体中文), or Traditional Chinese (繁體中文) based on the primary language of the text in your image. Language selection is critical — OCR accuracy drops significantly when the wrong language model is applied, as different languages have different character shapes and frequency patterns. For mixed-language images (e.g., English technical terms in a Chinese document), select the dominant language and manually correct the minority-language portions afterward.

Upload or drag-and-drop your image

Drag an image file into the upload area or click to browse. Supported formats: JPEG, PNG, and WebP up to 50 MB. For best OCR results, use images with: clear, high-contrast text (dark text on white background); resolution of at least 300 DPI (for scanned documents) or full screen resolution (for screenshots); minimal perspective distortion (image taken straight-on, not at an angle); no severe blur or motion artifacts. Low-quality images will be processed but accuracy decreases substantially with image quality.

Click "Extract Text" and wait for processing

Click the Extract Text button. The image is uploaded to an online OCR service, which returns the recognised text — this needs an internet connection and usually takes a few seconds; the request is abandoned after 30 seconds. Processing time depends on image size and complexity: a standard A4 page of text typically takes 3-10 seconds on a modern computer.

Review and edit the extracted text

The extracted text appears in an editable text area. OCR is not perfect — expect occasional errors, especially with: unusual fonts, very small text (below 8pt), handwriting, degraded or aged documents, and images with significant background noise. Review the output for obvious errors. Common OCR mistakes: "0" confused with "O", "1" confused with "l" or "I", "5" confused with "S", accented characters misread. The text area is fully editable — correct errors directly in the output before copying or downloading.

Copy or download the text

Use the Copy button to place the extracted text in your clipboard for immediate pasting into any application. Use the Download .txt button to save the extracted text as a plain text file. For legal or archival purposes, consider downloading the .txt file as a record. The character count displayed below the text area gives you a quick verification of the extraction's completeness — compare it against your manual estimate of how much text the image contained.

Process multi-page documents

Our OCR tool processes one image at a time. For multi-page scanned documents, process each page individually and combine the text files. For PDF documents that contain text as actual text (not scanned images), use our PDF to TXT tool instead — it extracts text with 100% accuracy without OCR processing. Reserve our OCR tool for images and scanned PDFs where the text exists only as pixels, not as embedded digital text.

Tips & Best Practices

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Scan or photograph documents at 300 DPI minimum for best accuracy — photos taken with a modern smartphone camera in good lighting are typically sufficient.

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Use high contrast: place documents on a flat, non-reflective white surface when photographing. Avoid shadows that cross over text.

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Straighten tilted images before processing — OCR accuracy drops noticeably with text tilted more than 5-10 degrees. Use our Image Crop/Rotate tool to correct orientation first.

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For receipts or small-print documents, take a close-up photo or scan at 600 DPI for better accuracy on small text.

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Handwriting recognition: Tesseract can handle printed handwriting (clear block letters) but struggles with cursive or informal handwriting. For handwriting, use a specialized handwriting OCR service.

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After extraction, use Ctrl+A then spell-check in a word processor to quickly identify OCR errors that produce non-words.

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For confidential documents, do not use this tool: images are uploaded to a third-party OCR service. Use a desktop OCR application for those instead.

Frequently Asked Questions

Accuracy depends on image quality. For high-quality images (clear text, good lighting, 300+ DPI, standard fonts), Tesseract achieves 95-99% character accuracy — meaning fewer than 5 errors per 100 characters. For poor-quality images (blurry, low contrast, unusual fonts, small text), accuracy can drop to 70-80%. In practice: a clear scan of a standard document will have very few errors; a photo of text on a coffee-stained receipt in dim lighting will have many. The accuracy metric that matters is whether the extracted text is usable — even 90% accuracy may leave dozens of errors in a 5000-word document that require manual correction.

OCR technology has transformed the way we interact with physical and image-based text, and our online implementation makes professional-quality text extraction available to everyone without accounts or subscriptions — though images are uploaded to a third-party service, so keep sensitive documents away from it. Upload your image, select the language, extract the text, and copy it directly to your workflow — the whole process takes under a minute for most documents. For high-volume document processing or handwriting recognition, dedicated OCR services offer additional capability; for everyday text extraction from images and screenshots, our tool provides immediate and accurate results.

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