Free Image to Text Converter
Copy text from photos, screenshots, and scanned documents instantly. 100% private — your images never leave your device.
Upload Image to Extract Text
Upload a screenshot, photo, or scanned document. OCR extracts text instantly.
Supports JPG, PNG, WebP • Max 10MB • Works best with clear, printed text
Privacy First
All OCR processing happens entirely in your browser. Your images are never uploaded to any server and are processed locally on your device.
How to Extract Text from an Image
Our free image to text converter uses advanced OCR (Optical Character Recognition) technology to extract text from any image in seconds. Simply upload a photo, screenshot, or scanned document, and get editable text you can copy, download, or edit. Perfect for converting physical documents to digital text, extracting quotes from screenshots, or copying text from images when you can't select it.
- Upload or paste your image: Click the upload area to browse for files, drag and drop an image, or paste a screenshot directly from your clipboard (Ctrl+V or Cmd+V).
- Click "Extract Text": The OCR engine analyzes your image and detects all text, including paragraphs, headings, and captions. Processing typically takes 2-5 seconds depending on image size and complexity.
- Copy or download your text: Click "Copy to Clipboard" to paste the text anywhere, or download as a .txt file for safekeeping. Edit the text directly in the output box if needed before copying.
Need to count words in an image instead? Try our Word Counter for Images tool for instant word count, character count, and reading time analysis from photos and screenshots.
What Images Work Best for Text Extraction?
OCR accuracy depends heavily on image quality, text clarity, and format. Here's what works best and what to avoid for optimal text extraction:
Works Excellently
- ✓Screenshots of websites, apps, or documents (high clarity, perfect for OCR)
- ✓Scanned documents at 300 DPI or higher (ideal for business documents, contracts)
- ✓Photos of printed text - books, magazines, signs, posters (straight-on angle works best)
- ✓High-resolution images (1200px+ width recommended for small text)
- ✓Black text on white/light backgrounds (maximum contrast = best accuracy)
⚠️Limited Accuracy
- ⚠Handwritten notes (60-80% accuracy - OCR struggles with cursive and varied handwriting)
- ⚠Blurry or low-resolution photos (enable "Enhance low-quality images" in settings)
- ⚠Text at angles or curved (straighten image first for better results)
- ⚠Unusual fonts or artistic text (decorative fonts reduce OCR accuracy)
- ⚠Text with complex backgrounds (patterns, gradients, or busy images behind text)
Pro tip: For best results with low-quality images, enable the "Enhance low-quality images" toggle in Advanced OCR Settings. This applies grayscale conversion, Otsu binarization, sharpening, and noise reduction to improve text detection significantly.
Why Use Our Image to Text Converter?
🔒 100% Private & Secure
All OCR processing happens locally in your browser—your images never get uploaded to any server. Unlike cloud OCR services that send your documents to remote servers for processing (and potentially store them), our tool keeps everything on your device. Perfect for sensitive documents like contracts, medical records, personal IDs, or confidential business materials. We literally can't see your images because they never leave your computer.
⚡ Free with No Limits
No signup, no credit card, no monthly limits, and no watermarks on extracted text. Most OCR services cap you at 5-10 free conversions per day or month, then force you to pay $10-30/month for unlimited access. CleanUpTxt processes unlimited images completely free because all processing happens in your browser—there are no server costs. Convert hundreds of images per day if needed, zero restrictions.
🚀 Instant Results
Get your text in 2-5 seconds—no waiting in processing queues like cloud services. Upload your image and the OCR engine immediately starts extracting text. No account verification emails, no "please wait 30 seconds for processing," no ads delaying results. The tool works offline after first load, so you can extract text even without internet connection once the page is cached.
Common Use Cases for Image to Text Conversion
📸 Screenshots & Social Media
Extract text from Twitter/X screenshots when you can't copy the original tweet, pull quotes from Instagram stories or LinkedIn posts for articles, or copy code snippets from programming tutorial screenshots. Social media images often contain valuable text that isn't selectable—our OCR makes it copyable in seconds. Perfect for journalists quoting social media, students capturing lecture slides, or developers extracting code from tutorial images.
📚 Books & Research Papers
Digitize physical books by photographing pages and extracting text for notes or searchable archives. Extract citations from scanned academic papers or journal articles when you need to quote research. Convert textbook pages to editable text for study guides or flashcards. Researchers use this to create searchable databases from old printed materials, while students extract key passages without manually retyping hundreds of words.
📄 Scanned Documents & PDFs
Convert scanned contracts, invoices, receipts, or forms into editable text for record-keeping or data entry. Extract information from scanned IDs, passports, or business cards for contact databases. Turn image-based PDFs (which don't allow text selection) into searchable, copyable text. Accountants use this for expense tracking from receipt photos, while HR departments digitize paper applications for applicant tracking systems.
🌍 Foreign Language Translation
Extract text from photos of foreign signs, menus, or documents to paste into Google Translate or other translation tools. Travelers photograph restaurant menus in foreign languages, extract the text, then translate it to understand what they're ordering. Works for street signs, museum placards, product packaging, or instruction manuals in languages you don't speak. Extract first, translate second—much faster than manual transcription.