Preview
Description
The "Object And Text Detection" app let you get text from image and Object from Image in almost in one click. Object And Text Detection app has smart OCR feature which enable you to get any text direct using camera and photos without need of writing it. The app can identify the object in the image/photo. It can tell the breed of animals, category of plants , category of fish, category of objects etc Object and Text Detection Features : - Optical Character Recognition (OCR) enables you to detect text within your images. - Direct Camera To Object & Text Detection. - Can Detect Object & Text from Image using Gallery. • Face Mood Detector - Detect Faces From Image - Overall Mood - Smile Level • Object Detector - Detect Objects in an image - Up to 100 Objects From Single Image - Car, Vehicle, Event, Community..and Many More - Accuracy Rate 99% • Read Text From Image - Detect Words From Image eg. Picture Of Bill..etc - Up 5000 Word From A Image - Accuracy Rate 98% Note : - Pick the image from the Gallery or Use the Camera - Crop the image to focus the object in the image to get the best result. - Application requires Internet Connection. Please Share If You like it. try it once and give your reviews for improvement.
What's New
Version 1.3 2019-06-27
- Performance Improvements - Fix Some Bugs Technical Analysis
Package Overview Basic metadata
Bundle ID
sam.cloud.vision Current Version 1.3
Minimum iOS 11.4
Package Size App Store Size
Package Metadata 1 / 2 version records
Detailed binary, privacy manifest, framework, and Info.plist results have not been indexed for this package yet. The verified App Store and archive metadata above remains available.
Known Version Records
1 version record with stored package metadata • 2 known version records
Stored metadata does not guarantee a package is currently available to download.
| Details | Version / IDs | Version date | Action |
|---|---|---|---|
| 7.86 MB | v1.3 App Store ID: 831813471Build: 1 | 2019-06-27 00:03:24 | Get Version |
| Not archived | App Store ID: 828264799 | Unknown | Request Version |