pdf2docx

pdf2docx

Artifex
+
+

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About

UnDatas.IO is a platform focused on parsing and processing unstructured data. It utilizes advanced technology to automatically recognize document layouts and categorize tables, images, formulas, and text, greatly simplifying the data processing process. The platform not only saves a lot of time in organizing data but also helps users extract valuable insights from data and make more strategic decisions. UnDatas.IO provides powerful data support for academic research, business analysis, and technology development. Recognize the layout of documents, identifying areas such as tables, images, formulas, and text. And revert them to json or markdown format. APIs enable different platforms and applications to collaborate seamlessly, facilitating data sharing and the integration of business processes. Our platform enables you to launch your data-driven projects with ease. Boost productivity and achieve better results. Empower your decision-making with advanced analytics.

About

pdf2docx is a Python library that uses PyMuPDF to extract data from PDF files, parse their layouts according to rules, and generate corresponding .docx files via python-docx. It supports conversion of text, images, tables, and other structural elements; it includes tools to extract tables, handle formatting, and preserve layout as much as possible. It offers both a command-line interface and a graphical user interface. The internal architecture is modular; it includes packages for handling pages, layout, tables, images, shape paths, text spans/blocks, and other elements, enabling fine control over how PDF content is mapped into Word documents. Developers can use the API for batch conversions or integrate it into workflows; there's documentation on installation (from PyPI or source), usage, and technical details of layout-parsing, table extraction, and internal modules. The project is open source, hosted on GitHub, and made available under its license with no warranty.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Data analysts searching for a tool to process and structure unstructured data from various documents

Audience

Technical users seeking a solution to convert PDF documents into Word format programmatically while preserving layout, tables, images, and text structure

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$99 per month
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

UnDatasIO
United States
undatas.io

Company Information

Artifex
Founded: 1993
United States
pdf2docx.readthedocs.io/en/latest/

Alternatives

Alternatives

AnyParser

AnyParser

CambioML
PDF.co

PDF.co

ByteScout
PDF Conversa

PDF Conversa

ASCOMP Software
BDB Platform

BDB Platform

Big Data BizViz

Categories

Categories

PDF

Integrations

GitHub
Microsoft Word
PyMuPDF
PyPI
Python

Integrations

GitHub
Microsoft Word
PyMuPDF
PyPI
Python
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