|over 2 years ago||about 20 hours ago|
|MIT License||Apache License 2.0|
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
- Extract text from PDF
[For Hire] Data Analysis, Bots, Web Scrapers & Automation Software
9 projects | reddit.com/r/jobbit | 23 Feb 2021
Mexican Government Report Text Analysis using spaCy, NumPy, pandas, Matplotlib, Seaborn and geopandas.
[OC] S13 Apex Ranked Stat Tracking Software
1 project | reddit.com/r/apexlegends | 9 May 2022
This software was made possible due to EasyOCR (free) for Python. This OCR was incredibly easy to use, and extremely accurate for what I needed. A big thank you to the creators.
6 projects | news.ycombinator.com | 9 May 2022
I've had good results with EasyOCR, much better than Tesseract. I agree with you, Tesseract has performed very poorly in my experience.
I have created a tool to translate any kind of VN by image analysis.
5 projects | reddit.com/r/visualnovels | 26 Mar 2022
Currently the tool supports 2 different OCRs. PaddleOCR and EasyOCR. In both cases, the OCR has a specific model for Japanese characters. They work quite well, as long as the characters have clear contrast. The problem is that these OCR implement Torch, which makes the program very heavy. I am looking for a way to optimize this.
Improve Google Cloud Vision OCR results
1 project | reddit.com/r/computervision | 1 Mar 2022
[Question] Best approach for Optical Character recognition on large (20MB+) photos?
1 project | reddit.com/r/opencv | 10 Nov 2021
Try easyocr or Tesseract. Both are pretty easy to use and don't need much background in OpenCV.
What is the actual top 10 OCR ? (facility to deploy everywhere/cloud, efficiency, cost)
1 project | reddit.com/r/OCR | 5 Nov 2021
EasyOCR: - Deployment: Easy as hell but difficult to train with personnalize data.
Do you know a good software or website to extract rectangles from an image with text in it and label them ?
1 project | reddit.com/r/OCR | 3 Nov 2021
Process: I take an image. I take a screenshot of the first word I see. I register this screenshot. I give him the name 1.jpg,2.jpg,.... in a labels.csv, I write the name of the jpg and the corresponding text. I repeat... And I can use it to train https://github.com/JaidedAI/EasyOCR !
Extract text from PDF
the repo with Python package https://github.com/JaidedAI/EasyOCR
website with online demo https://www.jaided.ai/easyocr/ (you can upload your images there)
How would one go about recognizing a text (date) in an image?
1 project | reddit.com/r/MLQuestions | 7 Sep 2021
Try running https://github.com/JaidedAI/EasyOCR, which reads all the text from a given image. Then loop over the words read and see if it reads your date properly or if it splits it into multiple words. Even if it does this, you can easily find the year (you might need to do some postprocessing on what the ocr reads, i.e transform l to 1). The nice thing is that you get the bounding boxes of where the tect was read so you can use some sort of postprocessing on bbox locations and words read to find the month amd day (i.e. I read 25 at the same y index as the yesr but the x index is to the left, so its probably the day). Good luck :)
What are some alternatives?
PaddleOCR - Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
tesserocr - A Python wrapper for the tesseract-ocr API
OpenCV - Open Source Computer Vision Library
awesome-colab-notebooks - Collection of google colaboratory notebooks for fast and easy experiments
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
scantailor-advanced - ScanTailor Advanced is the version that merges the features of the ScanTailor Featured and ScanTailor Enhanced versions, brings new ones and fixes.
deep-text-recognition-benchmark - Text recognition (optical character recognition) with deep learning methods.
layout-parser - A Unified Toolkit for Deep Learning Based Document Image Analysis
Face Recognition - The world's simplest facial recognition api for Python and the command line
SimpleCV - The Open Source Framework for Machine Vision
doctr - docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.