Image to Text OCR
Extract editable text from screenshots, photos, and scanned documents with free in-browser OCR. No API key and no server upload required.
Input Image
Upload image for OCR
PNG, JPG, WEBP and more up to 12MB
Extracted Text
Words
0
Characters
0
Confidence
-
Processing Time
-
OCR runs directly in your browser using Tesseract.js. Your image is not sent to Axonix servers.
Use high-contrast images with clear text, and select the correct OCR language before extraction.
Built With Care
“OCR quality depends heavily on image quality, font clarity, and language selection. Clean scans with dark text on light backgrounds usually produce the highest confidence scores.”
Image to Text OCR
Extract text from images online with Axonix's free OCR converter. Convert screenshots, scanned pages, and photos into editable text instantly while keeping processing in your browser.
- 1Upload your image file (PNG, JPG, WEBP, etc.).
- 2Choose the OCR language that best matches the text in the image.
- 3Click 'Extract Text' and wait for OCR to finish.
- 4Review the extracted text in the output area.
- 5Use Copy or Download to save your results.
- 100% browser OCR using Tesseract.js
- No API key and no sign-up required
- Supports multiple OCR languages including English, Urdu, and Arabic
- Real-time OCR progress bar
- Copy extracted text to clipboard instantly
- Download OCR result as a .txt file
Real Ways People Use This
Screenshot Notes
Capture text from screenshots of lectures, meetings, or presentations and convert it into editable notes.
Scanned Documents
Extract text from scanned pages so you can search, edit, and reuse document content quickly.
Image-Based PDFs
Use OCR on exported page images when a PDF is non-selectable or locked as a scanned document.
Social Media Text
Grab text from social posts, infographics, or memes for translation or repurposing.
- OCR accuracy depends on image clarity, contrast, and the selected language model.
- Screenshots with tiny fonts, motion blur, or heavy compression can produce partial or noisy text output.
- For sensitive documents, manually verify extracted names, numbers, and dates before reuse.
- 1Upload a clear image and choose the correct OCR language first.
- 2Run extraction and review confidence plus obvious recognition errors.
- 3Proofread critical fields before copying text into reports, forms, or client docs.