Image to Text (OCR)
Convert images into selectable text with in-browser OCR. Useful for screenshots, scanned documents, receipts, notes, and multilingual image text extraction.
Processing
OCR runs locally in the browser with Tesseract, so the page can recognize text without uploading the source image.
Input formats
Common image formats including JPEG, PNG, WebP, TIFF, and BMP, with multi-file support
Output
Extracted text displayed in the page for copying and reuse
Best for
Screenshots, scanned pages, receipts, whiteboards, printed forms, and multilingual text extraction
Drop images here or click to browse
JPEG, PNG, WebP, TIFF, BMP — multiple files supported
Processing mode
Contrast boost applied — recommended for photos, scans & low-quality images
How it works
- 1Upload one or more images containing text — JPEG, PNG, WebP, TIFF, BMP
- 2Select one or more languages (50+ supported: Latin, CJK, Arabic, Devanagari, Cyrillic, Hebrew…)
- 3Use Enhanced mode for contrast-boosted pre-processing — ideal for photos and printed scans
- 4Click Extract Text — Tesseract OCR runs entirely in your browser, nothing is uploaded
- 5Per-image results show confidence score, word count, and the extracted text
- 6Copy or download results individually, or grab everything as a single .txt file
100% private
All OCR processing happens locally in your browser using the Tesseract engine. No image or text ever leaves your device.
About This Tool
When text is locked inside an image, it is hard to search, copy, translate, or reuse. This OCR page turns those pixels into editable text so you can move the content into documents, forms, notes, or translation tools.
It is especially useful for screenshots, photographed pages, scanned handouts, invoices, and archival material where retyping would be slow and error-prone. Since recognition runs in the browser, it is also practical for privacy-sensitive workflows.
Why People Use It
- Supports more than 50 OCR languages
- Multi-image queue for batch-style extraction
- Browser-side processing for private text recognition
Typical Use Cases
- Copying text from screenshots and social posts
- Digitizing printed notes, invoices, and receipts
- Extracting text from multilingual reference images
- Turning scanned documents into searchable text
How To Use Image to Text (OCR)
Step 1
Upload one or more images that contain readable text.
Step 2
Choose the recognition language or languages that match the source.
Step 3
Run OCR and let the page analyze the text regions.
Step 4
Copy the extracted text for editing, translation, or reuse.
Common Questions
Which languages are supported?
The OCR tool supports more than 50 languages, including Latin scripts, CJK languages, Arabic, Hindi, Cyrillic, Hebrew, and more.
Does it work on handwriting?
It can recognize some handwriting, but printed high-contrast text usually produces much better results than casual handwriting.
Are the images uploaded for OCR?
No. The OCR engine runs in the browser so your source images do not need to be sent to a server.