docutron VS genalog

Compare docutron vs genalog and see what are their differences.

docutron

Docutron Toolkit: detection and segmentation analysis for legal data extraction over documents. (by louisbrulenaudet)

genalog

Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities. (by microsoft)
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docutron genalog
2 1
17 296
- 1.4%
5.8 0.0
7 months ago 4 months ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 MIT License
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.

docutron

Posts with mentions or reviews of docutron. We have used some of these posts to build our list of alternatives and similar projects.

genalog

Posts with mentions or reviews of genalog. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing docutron and genalog you can also consider the following projects:

deep-text-recognition-benchmark - Text recognition (optical character recognition) with deep learning methods, ICCV 2019

unstructured - Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

SDV - Synthetic data generation for tabular data

document-ai-samples - Sample applications and demos for Document AI, the end-to-end document processing platform on Google Cloud

synthetic-data-genomics - Proof of concept code from Gretel.ai and Illumina using generative neural networks to create synthetic versions of mouse genotype and phenotype data.

videocr-PaddleOCR - Extract hardcoded subtitles from videos using machine learning

Copulas - A library to model multivariate data using copulas.

ocrpy - OCR, Archive, Index and Search: Implementation agnostic OCR framework.

ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Multi-Type-TD-TSR - Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:

nist-crc-2023 - NIST Collaborative Research Cycle on Synthetic Data. Learn about Synthetic Data week by week!