How to extract text from images using EasyOCR Python Library (Deep Learning)




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In this video, I’ll show you how you can extract text from images using EasyOCR which is a Ready-to-use OCR library with 40+ languages supported including Chinese, Japanese, Korean and Thai!

Link to the Repository : https://github.com/JaidedAI/EasyOCR

Link to the notebook : https://github.com/bhattbhavesh91/easyocr-demo

If you do have any questions with what we covered in this video then feel free to ask in the comment section below & I’ll do my best to answer those.

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#OCR #DeepLearning

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Comment List

  • Bhavesh Bhatt
    November 30, 2020

    Can you please explain this step by step process of installation for beginners . Please

  • Bhavesh Bhatt
    November 30, 2020

    Can you kindly tell me which library support Bangla language????

  • Bhavesh Bhatt
    November 30, 2020

    Can I use easyocr to extract text from pdf?

  • Bhavesh Bhatt
    November 30, 2020

    Hi sir i am working in developing this project on our local language Tigrigna which is Eritrean language..can you help me how to prepare the language data please?

  • Bhavesh Bhatt
    November 30, 2020

    πŸ‘πŸ‘πŸ‘πŸ‘πŸ‘ŒπŸ‘

  • Bhavesh Bhatt
    November 30, 2020

    I was trying to find a software like this which can translate doctors prescription…do you know where to find it or can you help me develop one .

  • Bhavesh Bhatt
    November 30, 2020

    Hello sir I have a doubt
    I am working on a deep learning project
    In that project i have to extract Brand name of the products based on image
    How can I extract it
    Can you please help me sir

  • Bhavesh Bhatt
    November 30, 2020

    Thanks Bhavesh for amazing video. Please suggest any pre processing steps required for natural images. Because most of the ocr have not given me accurate results if images are directly passed without any pre processing.

  • Bhavesh Bhatt
    November 30, 2020

    Similarly I stumbled on a repo
    PaddleOCR
    They are also showing great results.

  • Bhavesh Bhatt
    November 30, 2020

    Hi, thanks for making this educational content. EasyOCR is now supporting Devanagari (Hindi, Marathi, Nepali). Other languages are also coming.

  • Bhavesh Bhatt
    November 30, 2020

    i don't know why it is not working in anaconda environment. did all installations. Any catch?

  • Bhavesh Bhatt
    November 30, 2020

    nice, but it gives low accuracy for old images…

  • Bhavesh Bhatt
    November 30, 2020

    thank you for amazing video, i have quick question after extracting text from image is it possible to store output in excel or word doc. i will be glad

  • Bhavesh Bhatt
    November 30, 2020

    Your videos are so interesting…..

  • Bhavesh Bhatt
    November 30, 2020

    Does this library works for 'Devnagari' ?

  • Bhavesh Bhatt
    November 30, 2020

    Thanks for sharing, does the library also recognizes numeric character in an image?

  • Bhavesh Bhatt
    November 30, 2020

    Is it ok to just know the library and use it without knowing how it works?

  • Bhavesh Bhatt
    November 30, 2020

    Is ir better than tesseract?

  • Bhavesh Bhatt
    November 30, 2020

    Is this better than tesseract by Google.

  • Bhavesh Bhatt
    November 30, 2020

    Hi Bhavesh.Nice video.Why don't you start affordable DS or machine learning video in a sequential manner.Even after 2 or 3 days,you can upload the same videos to youtube also.

  • Bhavesh Bhatt
    November 30, 2020

    Useful.

  • Bhavesh Bhatt
    November 30, 2020

    This is better than tessersact! Thank you for the video!

  • Bhavesh Bhatt
    November 30, 2020

    Hi Bhavesh,
    Is there any package that you know for language translation from Swedish to English etc?

  • Bhavesh Bhatt
    November 30, 2020

    This is exactly something I needed for a hackathon. Thanks a lot.

  • Bhavesh Bhatt
    November 30, 2020

    Great Library !!

  • Bhavesh Bhatt
    November 30, 2020

    NiceπŸ‘ŒπŸ‘Œ

  • Bhavesh Bhatt
    November 30, 2020

    This is so cool! Great video Bhavesh!

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