Here OCR (Optical Character Recognition) technology is used to recognize text on the device screen.
OCR Recognizes text with 99%+ accuracy.
Main Features:
• Copy any text on the mobile screen to your clipboard.
• Extract text from any image, just share the image with this app to extract words on picture.
• Copy text from any application: Facebook, Twitter, Instagram, YouTube, Tumblr….
• Extracts phone number, email, URL.
• Works offline to protect your privacy.
This app is perfect to extract text for English.
How to use this app
Method 1:
1. Click a add button at bottom right of the Screen
2. In popup select image from gallery/ Capture a picture.
3. Select an Image from gallery /Capture a picture with camera.
4. Crop a picture you selected/ Captured and click tick button on top right
5. Please wait while the app performs OCR operation to extract text.
6. Long press on any word and then copy all or partial text to clipboard and done!
Method 2:
You can directly click share button in gallery and directly share the picture with Convert2Text and follow the same process from method 1.
We’d love to hear your feedback: devcafe.developers@gmail.com
OCR Recognizes text with 99%+ accuracy.
Main Features:
• Copy any text on the mobile screen to your clipboard.
• Extract text from any image, just share the image with this app to extract words on picture.
• Copy text from any application: Facebook, Twitter, Instagram, YouTube, Tumblr….
• Extracts phone number, email, URL.
• Works offline to protect your privacy.
This app is perfect to extract text for English.
How to use this app
Method 1:
1. Click a add button at bottom right of the Screen
2. In popup select image from gallery/ Capture a picture.
3. Select an Image from gallery /Capture a picture with camera.
4. Crop a picture you selected/ Captured and click tick button on top right
5. Please wait while the app performs OCR operation to extract text.
6. Long press on any word and then copy all or partial text to clipboard and done!
Method 2:
You can directly click share button in gallery and directly share the picture with Convert2Text and follow the same process from method 1.
We’d love to hear your feedback: devcafe.developers@gmail.com
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