open-parse VS deepdoctection

Compare open-parse vs deepdoctection and see what are their differences.

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open-parse deepdoctection
3 8
1,782 2,209
- 6.9%
9.2 9.2
9 days ago 4 days ago
Python Python
MIT License 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.

open-parse

Posts with mentions or reviews of open-parse. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-07.

deepdoctection

Posts with mentions or reviews of deepdoctection. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-07.

What are some alternatives?

When comparing open-parse and deepdoctection you can also consider the following projects:

DocumentInformationExtraction - Key Information Extraction From Documents: Evaluation And Generator

Flowise - Drag & drop UI to build your customized LLM flow

CascadeTabNet - This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"

PentestGPT - A GPT-empowered penetration testing tool

donut - Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022

bark - 🔊 Text-Prompted Generative Audio Model

Information-extraction-from-document - Graph Key Information Extraction: GKIE

JARVIS - JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

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

loopgpt - Modular Auto-GPT Framework

Selefra - The open-source policy-as-code software that provides analysis for Multi-Cloud and SaaS environments, you can get insight with natural language (powered by OpenAI).

Graph-Key-Information-Extraction-from-Documents