1
Upload or paste your image
Drag and drop your image into the upload area, click to browse your files, or simply paste an image directly from your clipboard.
- Supported formats include JPG, PNG, and WebP (up to 10 MB)
Image to Text Converter
Extract text from image online with our free image to text converter. Convert JPG, JPEG, PNG, and WebP files locally in your browser with instant copy and paste.
No installation
Fast processing
Browser friendly
Privacy-aware
Features
Extract text from photos, scans, receipts, and screenshots using Optical Character Recognition
Powered by client-side Tesseract WebAssembly for in-browser OCR processing without server uploads
Multi-language text recognition support for English, Spanish, and French scripts
Supports JPG, JPEG, PNG, and WebP images with fast local processing
Image to text converter with instant clipboard copy and paste plus direct .txt file downloads
Free image to text converter online with zero server uploads, no file queues, and no account required
How It Works
2
Select the text language
Choose the primary language of the text in your image (English, Spanish, or French) to help the OCR engine accurately identify the characters.
- The tool relies on this setting to process language-specific letters and accents
3
Extract and copy text
Click the process button and wait for the extraction to finish. Once complete, you can copy the text to your clipboard or download it as a .txt file.
- All processing happens securely within your browser
Common Use Cases
Digitizing Printed Notes & Book Pages
Convert photos of textbook pages, research articles, and printed notes into editable digital text.
Receipt, Invoice & Document Logging
Extract data and line items from photos of paper receipts, invoices, and physical forms for expense reports.
Extracting Non-Selectable Screenshot Text
Grab unselectable text from software error dialogs, video subtitles, and webinar slide screenshots.
Tips & Best Practices
Local Processing for Privacy
All optical character recognition (OCR) happens directly in your browser using your device's resources. Your images are never uploaded to our servers, ensuring your data remains private.
Image Quality Matters
For the best results, use clear, well-lit images with high contrast. Blurry photos, stylized fonts, or handwritten text may reduce the accuracy of the extracted text.
Supported Languages
The tool currently supports English, Spanish, and French text extraction. Please note that Arabic text recognition is not supported at this time.
Frequently Asked Questions
What is an image to text converter?
An image to text converter is an optical character recognition (OCR) utility that analyzes pixel patterns in visual files (JPG, JPEG, PNG, or WebP) and extracts the characters into editable, searchable text.
How does the image to text converter work?
The image to text converter works by loading a local WebAssembly OCR engine in your browser, recognizing character shapes in English, Spanish, or French, and outputting the text with instant copy and paste or TXT download without uploading your image to a server.
How do I extract text from an image online?
Upload, drag and drop, or paste your image into the converter, choose your recognition language (English, Spanish, or French), click Extract Text, and copy the recognized text output.
How accurate is the character recognition?
OCR accuracy depends on image resolution, font clarity, lighting, and contrast; clean, high-contrast images yield the best recognition results.
Does the tool recognize handwritten text?
The OCR engine is optimized for printed, typed, and digital fonts. Clear block handwriting may be recognized, but stylized cursive will have lower accuracy.
Is my image uploaded to an external server?
No. OCR processing runs 100% locally in your web browser using client-side WebAssembly; your images never leave your computer.
What is the difference between Image to Text and PDF to Text?
Image to Text uses visual OCR to recognize pixel characters in images, while PDF to Text extracts pre-existing digital text streams from native PDF files.