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OCR – Optical Character Recognition does the work of visual analysis – simply identifies text characters in digital images (examines & translates the characters into code that can be used for data processing). Here I have a model that does all of that and saves texts from image as readable document. Trying out something very similar to google lens – goggle lens isn’t a bad idea, is it? PS: "summary chapter 5.png" is a test image

License: Apache License 2.0

Python 100.00%
ocr-recognition google-lens dataprocessing

lens_it's Introduction

lens_it

Requirement: Download & install Tesseract-OCR and copy the installed/saved path to code as I have it in line 25. Please find the Tesseract-OCR software here

Also, to note: Image file must be in the same location as the code file.

  • Run and enter the filename including its extension in the program. For example: computer.jpg

  • Wait for few seconds till the program ends its running (import image will be displayed).

  • Finally, check for the saved text document in the same location as the image file & code file. Saved as “exp_txt”.

    Using Spyder IDLE? Just open “exp_txt” in variable explorer panel

Please edit the saved text document just in case some alphabets are mistaken for another.

lens_it's People

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lens_it's Issues

Update README

I am here in this quite interesting repo but sadly I cannot see tips on how to test your code.

Can you please update your README file so that it will tell us the go abouts for testing this program, maybe some requirements and softwares that needs to be installed before we can successfully test this project.

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