https://github.com/ibrahimcanerdogan/TextRecognitionApp-MLKit

Recognize text in images with ML Kit on Android
https://github.com/ibrahimcanerdogan/TextRecognitionApp-MLKit

android android-application kotlin mlkit mlkit-android recognition text

Last synced: 7 months ago
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Recognize text in images with ML Kit on Android

• Host: GitHub
• URL: https://github.com/ibrahimcanerdogan/TextRecognitionApp-MLKit
• Owner: icanerdogan
• License: mit
• Created: 2023-03-08T20:07:30.000Z (over 3 years ago)
• Default Branch: master
• Last Pushed: 2023-11-04T13:24:58.000Z (over 2 years ago)
• Last Synced: 2024-12-26T10:15:28.163Z (over 1 year ago)
• Topics: android, android-application, kotlin, mlkit, mlkit-android, recognition, text
• Language: Kotlin
• Homepage: https://medium.com/@ibrahimcanerdogan
• Size: 15.9 MB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
 Text Recognition App 


Unleash the power of text within images like never before with [Your App Name], the ultimate Image Text Analyzer and Copy Tool! Say goodbye to manual typing and tedious data entry—our advanced AI-driven technology transforms any photo into editable and copyable text with just a tap. Whether it's a snapshot from your camera or an image from your gallery, our app makes digitizing text a breeze! 




 MEDIUM 


 The ML Kit Text Recognition API can recognize text in any Latin-based character set. It can also be used to automate data-entry tasks such as processing credit cards, receipts, and business cards. 


 Key capabilities 



Recognize text across Latin-based languages Supports recognizing text using Latin script

Analyze structure of text Supports detection of words/elements, lines and paragraphs

Identify language of text Identifies the language of the recognized text

Small application footprint On Android, the API is offered as an unbundled library through Google Play Services

Real-time recognition Can recognize text in real-time on a wide range of devices



 Text structure 

The Text Recognizer segments text into blocks, lines, elements and symbols. Roughly speaking:



a Block is a contiguous set of text lines, such as a paragraph or column

a Line is a contiguous set of words on the same axis, and

an Element is a contiguous set of alphanumeric characters ("word") on the same axis in most Latin languages, or a word in others

an Symbol is a single alphanumeric character on the same axis in most Latin languages, or a character in others



 The image below highlights examples of each of these in descending order. The first highlighted block, in cyan, is a Block of text. The second set of highlighted blocks, in blue, are Lines of text. Finally, the third set of highlighted blocks, in dark blue, are Words. 




 For all detected blocks, lines, elements and symbols, the API returns the bounding boxes, corner points, rotation information, confidence score, recognized languages and recognized text. 


 Text Recognition App Preview 


App        |  Main Screen

:-------------------------:|:-------------------------:

![](https://github.com/icanerdogan/TextRecognitionApp-MLKit/blob/master/documents/TextRecognition.gif?raw=true)  |  ![](https://raw.githubusercontent.com/icanerdogan/TextRecognitionApp-MLKit/master/documents/MainActivity.png)

 LICENSE 


````

MIT License

Copyright (c) 2023 İbrahim Can Erdoğan

Permission is hereby granted, free of charge, to any person obtaining a copy

of this software and associated documentation files (the "Software"), to deal

in the Software without restriction, including without limitation the rights

to use, copy, modify, merge, publish, distribute, sublicense, and/or sell

copies of the Software, and to permit persons to whom the Software is

furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all

copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR

IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,

FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE

AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER

LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,

OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE

SOFTWARE.

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