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https://github.com/oshapandey/text_extraction

In this project, we will be working on extracting text from images. After extracting the text we will apply some basic functions of opencv on that text to enhance it and to get more accurate results. This project will be very useful as it will save time and effort of typing from an image.
https://github.com/oshapandey/text_extraction

flask html ipynb-notebook opencv python

Last synced: about 15 hours ago
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In this project, we will be working on extracting text from images. After extracting the text we will apply some basic functions of opencv on that text to enhance it and to get more accurate results. This project will be very useful as it will save time and effort of typing from an image.

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README 

        
Step to run application locally:

Step 1:	Create the copy of the project.

Step 2: Open command prompt and change your current path

to folder where you can find 'app.py' file.

Step 3: Create environment by command given below-

conda create -name 

Step 4: Activate environment by command as follows-

conda activate 

Step 5: Install tesseract using windows installer available at: https://github.com/UB-Mannheim/tesseract/wiki

Step 6: Note the tesseract path from the installation. Default installation path at the time of this edit was: C:\ProgramFiles\Tesseract-OCR. It may change so please check the installation path.

Step 7: pytesseract.pytesseract.tesseract_cmd = r'C:\ProgramFiles\Tesseract-OCR\tesseract.exe'

Step 8: Use command below to install required dependencies-

python -m pip install -r requirements.txt

Step 9: Run application by command-

python app.py

You will get url copy it and paste in browser.

Step 10: You have sample_data folder where you can get images to test.