|7 months ago||4 days ago|
|Apache License 2.0||Apache License 2.0|
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Document Parsing - an unsolved problem?
5 projects | reddit.com/r/LanguageTechnology | 19 Jul 2022
At my previous job we had the same problem which we solved by using Tika. We called it on the server along with other stuff, but there is also a Python binding.
Extract text from PDF
Hey, I’ve spent quite a bit of time looking at extracting text as accurately as possibly from PDFs, it’s turns out that it is not as simple as it might seem. It is especially tricky once you get a wide variety of PDFs (including PDFs with image based text or tables). While I unfortunately cannot share the code I used to extract this text, I will tell you that for what I think your doing, the best solution will require a few things. First you should pick a good module. I’ve spent a long time going over open source solutions to this and the best two I’d say are Excalibur and Apache Tika .
Tika is from Apache so yes its original code base is Java but it has bindings in other languages. Checkout Tika-Python!
Extract text from documents
5 projects | dev.to | 27 Mar 2021
The Textractor instance is the main entrypoint for extracting text. This method is backed by Apache Tika, a robust text extraction library written in Java. Apache Tika has support for a large number of file formats: PDF, Word, Excel, HTML and others. The Python Tika package automatically installs Tika and starts a local REST API instance used to read extracted data.
[D] Looking for a fast OCR repo
2 projects | reddit.com/r/MachineLearning | 5 Jul 2022
Do you have hardware acceleration available? If so, check out https://github.com/JaidedAI/EasyOCR
[P] Training to read PDF documents. Any ideas?
3 projects | reddit.com/r/MachineLearning | 20 May 2022
If all you need to do is OCR, check out https://github.com/JaidedAI/EasyOCR , it's a similar architecture to the cloud services, without all the $. You'll end up with extracted text and bounding boxes for it.
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.
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)
3 projects | news.ycombinator.com | 31 Jul 2021
[D] Sudden drop in loss after hours of no improvement - is this a thing?
2 projects | reddit.com/r/MachineLearning | 30 Jul 2021
Background: I have been working on a project to perform OCR on mobile screenshots in my current company. Due to many quality and deployment issues, I could not go with tesseract; then, I found EasyOCR, which seemed reasonable at initial testing; however, further investigation revealed that it does not generalize that well. See the issue I created here I created.
10 projects | news.ycombinator.com | 18 Jul 2021
Best OCR for keras CNN trained handwritten character model?
2 projects | reddit.com/r/tensorflow | 3 Jun 2021
There are many possible approaches to OCR. You might want to take a look at the pipeline of EasyOCR at https://github.com/JaidedAI/EasyOCR.
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)
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
OpenCV - Open Source Computer Vision Library
tesserocr - A Python wrapper for the tesseract-ocr API
awesome-colab-notebooks - Collection of google colaboratory notebooks for fast and easy experiments
doctr - docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
deep-text-recognition-benchmark - Text recognition (optical character recognition) with deep learning methods.
scantailor-advanced - ScanTailor Advanced is the version that merges the features of the ScanTailor Featured and ScanTailor Enhanced versions, brings new ones and fixes.
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