How to Extract Text from Image (OCR) — Free Online

Need to copy text from a screenshot, photo, or scanned document? Here's how to do it instantly — free, private, no software to install. Supports 100+ languages.

Last updated: May 20, 2026 · 6 min read

What Is OCR and When Do You Need It?

OCR (Optical Character Recognition) converts text in images into editable, copyable text. Common scenarios: copying text from a screenshot someone sent you, digitizing a printed document, extracting data from a photo of a receipt or whiteboard, converting a scanned PDF into searchable text, or grabbing text from an infographic.

Method 1: Free Online OCR (No Upload)

The fastest and most private option:

1. Open QuickImageHub Extract Text from Image
2. Drag and drop your image (JPG, PNG, WebP, or any format)
3. Select the language of the text
4. Click Extract → copy the recognized text

Everything runs in your browser using Tesseract.js (WebAssembly). Your image never leaves your device — no server, no cloud processing.

Method 2: Google Lens (Mobile)

On Android or iOS, Google Lens can extract text from photos. Open Google app → tap Lens icon → point at text → tap "Copy all." It's convenient but requires sending your image to Google's servers.

Method 3: Apple Live Text (iOS 15+ / macOS Monterey+)

Apple devices with Live Text can select text directly in photos. Open the photo in Photos app, tap and hold on text, then Copy. Works offline but only on newer Apple devices and limited language support.

Method 4: Windows Snipping Tool (Windows 11)

Windows 11's updated Snipping Tool has a Text Actions feature. Take a screenshot, then click the Text Actions button to select and copy text. Decent for English but limited multilingual support.

Multilingual OCR Support

QuickImageHub supports 100+ languages, making it especially useful for multilingual content:

Tips for Better OCR Results

Use high-resolution images. The more pixels per character, the more accurate the recognition. If you're photographing a document, ensure it fills most of the frame.

Good lighting matters. Shadows across text dramatically reduce accuracy. Photograph documents in even, diffused light — near a window works well.

Keep text straight. Skewed or rotated text reduces accuracy. If photographing a document, try to keep it flat and aligned with the camera.

Select the correct language. OCR models are language-specific. Selecting the wrong language will produce garbled output even on clear text.

For mixed-language documents (e.g., English and Korean together), try each language separately and combine the results, or use the language that covers the majority of the text.

OCR Use Cases

Students: Extract text from textbook photos, lecture slides, or whiteboard images. Convert to notes you can search and edit.

Business: Digitize receipts for expense reports, extract data from business cards, convert printed contracts into editable documents.

Developers: Copy error messages from screenshots, extract text from design mockups, grab code from tutorial images.

Researchers: Digitize older printed papers, extract text from archived documents, convert scanned library materials into searchable text.

Multilingual work: Extract Korean text from Korean documents, Japanese menus, Chinese signage — without needing to type characters manually.

OCR vs PDF Text Extraction

If you're working with PDFs, you might not need OCR at all. There are two types of PDFs:

Text-based PDFs (created from Word, Google Docs, etc.) already contain selectable text. Use Extract PDF Text — it's faster and 100% accurate because it reads the text data directly.

Scanned PDFs (created from a scanner or camera) are essentially images wrapped in a PDF. For these, first convert to images with PDF to Image, then use OCR on the resulting images.

Frequently Asked Questions

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