EasyOCR VS deep-text-recognition-benchmark

Compare EasyOCR vs deep-text-recognition-benchmark and see what are their differences.

EasyOCR

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc. (by JaidedAI)
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EasyOCR deep-text-recognition-benchmark
38 2
21,535 3,589
3.0% 0.9%
4.6 0.0
8 days ago 25 days ago
Python Jupyter Notebook
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

EasyOCR

Posts with mentions or reviews of EasyOCR. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-27.

deep-text-recognition-benchmark

Posts with mentions or reviews of deep-text-recognition-benchmark. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-29.
  • OCR on soda can and food containers
    3 projects | /r/computervision | 29 Apr 2021
    The second stage involves running a recognition algorithm on the bounding boxes generated by your localisation algorithm, you could use tesseract here and get some decent results however if there is a lot of irregular text (curved/distorted) then I would recommend using https://github.com/clovaai/deep-text-recognition-benchmark they provide some good pretrained models that you could then finetune.
    3 projects | /r/computervision | 29 Apr 2021
    Yeah EasyOCR uses https://github.com/clovaai/deep-text-recognition-benchmark as a backbone. Could definitely be a good option.

What are some alternatives?

When comparing EasyOCR and deep-text-recognition-benchmark you can also consider the following projects:

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)

doctr - docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

OpenCV - Open Source Computer Vision Library

awesome-colab-notebooks - Collection of google colaboratory notebooks for fast and easy experiments

tesserocr - A Python wrapper for the tesseract-ocr API

LaTeX-OCR - pix2tex: Using a ViT to convert images of equations into LaTeX code.

detectron2 - Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Tesseract.js - Pure Javascript OCR for more than 100 Languages πŸ“–πŸŽ‰πŸ–₯

tika-python - Tika-Python is a Python binding to the Apache Tikaβ„’ REST services allowing Tika to be called natively in the Python community.

CRAFT-pytorch - Official implementation of Character Region Awareness for Text Detection (CRAFT)

layout-parser - A Unified Toolkit for Deep Learning Based Document Image Analysis