With this OCR Text Recogniser, you can extract and edit text from images using the app’s recognition and cropping features. Includes language support for all Latin languages, sharing options, and text editing tools.
AppRecs review analysis
AppRecs rating 4.1. Trustworthiness 69 out of 100. Review manipulation risk 14 out of 100. Based on a review sample analyzed.
★★★★☆
4.1
AppRecs Rating
Ratings breakdown
5 star
75%
4 star
0%
3 star
0%
2 star
13%
1 star
13%
What to know
✓
Low review manipulation risk
14% review manipulation risk
✓
High user satisfaction
75% of sampled ratings are 4+ stars (4.1★ average)
About OCR Text Recogniser
OCR Text Recogniser is app to recognize any text from an image with with a precision rate between 98% to 100%. The app recognizes all latin languages such as English, French, Spanish, Portuguese, German, Italian, Norwegian, Danish, and so on.
It turns your device in to text scanner.
Features of Text Scanner:
- Extract any Text or Words from Image.
- Recognize text from image supports all latin languages.
- Crop image before OCR.
- Edit, Copy & Share OCR result.
Optical character recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene-photo (for example the text on signs and billboards in a landscape photo) or from subtitle text superimposed on an image (for example: from a television broadcast).
It turns your device in to text scanner.
Features of Text Scanner:
- Extract any Text or Words from Image.
- Recognize text from image supports all latin languages.
- Crop image before OCR.
- Edit, Copy & Share OCR result.
Optical character recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene-photo (for example the text on signs and billboards in a landscape photo) or from subtitle text superimposed on an image (for example: from a television broadcast).
