Metadata-Version: 2.1
Name: TextExtract
Version: 1.0.0
Summary: Tesseract Optimize is a optimize version of Tesseract to provide better text recognition.
Home-page: https://github.com/sam4u3/TextExtract
Author: Sayar Mendis
Author-email: sayarmendis26@gmail.com
License: UNKNOWN
Description: Overview :  
        =======================  
          
        TextExtract is a optimize version of Tesseract to provide better text recognition.
          
          
        Features :  
        ==============================  
          
        1) Extract text from any image  
        2) Extract text which match expected text   
          
        Installation :
        ==============================  
          
        **Prerequisite :**  
          
        - Python 3.6+ (https://www.python.org/downloads/)  
        - Tesseract.exe file and DLLs('liblept177.dll','libtesseract400.dll','vcomp140.dll')  
        - Tesseract version used is : tesseract 4.0.0-beta.3  
          
        **Using pip :**  
          
        `pip install TextExtract`  
          
        Usage :  
        ==============================  
          
        ```python  
        from TextExtract.TextExtractApi.TextExtract import TextExtractFunctions  
          
        #Get single text without comparing text with expected  
        result,scale=TextExtractFunctions.image_to_string_only("MenuIcon.png",lang='eng')
          
        #Get texts from list of scaled images text with highest matching with expected text
        result,match=TextExtractFunctions.image_to_string_matched("MenuIcon.png",expected_text='Menu',lang='eng')
          
        #Get list of result with matches results  
        finalresult,scaled_results=TextExtractFunctions.image_to_string_matched("MenuIcon.png",expected_text='Menu',all_results=True)
        
        ```  
          
        **Contact Information :**  
          
        [Email: sayarmendis26@gmail.com](mailto::sayarmendis26@gmail.com)
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
