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What is pdf2docx?

pdf2docx is a Python library that utilizes PyMuPDF to extract data from PDF files, analyze their layouts according to defined rules, and generate .docx documents using python-docx. This library simplifies the conversion of numerous elements such as text, images, and tables, featuring capabilities for table extraction, formatting management, and preservation of layout integrity whenever feasible. Additionally, it provides both a command-line interface and a graphical user interface to suit various user needs. Its modular design includes separate packages for handling pages, layouts, tables, images, shape paths, text spans, and other components, offering precise control over the transformation of PDF content into Word files. Developers can utilize the API for batch processing or easily embed it within their existing systems. Extensive documentation is available, detailing installation (which can be sourced from PyPI or directly), usage guidelines, and in-depth technical information on layout parsing, table extraction, and the internal modules. The project is open-source and can be found on GitHub, published under its license and with a disclaimer of any warranties. Furthermore, pdf2docx not only streamlines the conversion process significantly but also serves as an invaluable resource for professionals regularly working with PDF and Word file formats, enhancing their productivity.

What is Adobe PDF Services API?

Create a PDF from Microsoft Office documents, protect sensitive information, and easily convert it to multiple formats. By programmatically adjusting documents, you can reorder, insert, and rotate pages while also reducing file sizes. Leverage the cloud-based APIs that drive Adobe's user-friendly applications to deliver scalable and secure solutions effectively. You can extract text, images, tables, and other elements from both native and scanned PDF files, resulting in a well-organized JSON file. The PDF Extract API employs sophisticated AI technology to accurately identify text components and understand the natural reading order of various elements, including headings, lists, and paragraphs that may span multiple columns or pages. Furthermore, it captures font styles and metadata, recognizing attributes such as bold and italic text along with their locations within the PDF. The extracted data is structured in a JSON format, whereas tables can be provided in CSV or XLSX formats, and images are saved as PNG files. This all-encompassing method guarantees that users can efficiently handle and modify their PDF documents while maintaining critical data integrity, ensuring a seamless experience throughout the process. Moreover, the ability to manipulate and convert files not only enhances productivity but also streamlines workflows for various professional applications.

Media

Media

Integrations Supported

Microsoft Word
Python
GitHub
PyMuPDF
PyPI

Integrations Supported

Microsoft Word
Python
.NET
Amazon
EximiousSoft ePage Creator
HTML
Ivo
JSON
Microsoft PowerPoint
Node.js
Postman
QCommission
Studiovity Screenwriting
Torvalds
UiPath
Workers by Delos

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Artifex

Date Founded

1993

Company Location

United States

Company Website

pdf2docx.readthedocs.io/en/latest/

Company Facts

Organization Name

Adobe

Date Founded

1982

Company Location

United States

Company Website

developer.adobe.com/document-services/apis/pdf-services/

Categories and Features

PDF

Not specified

Categories and Features

PDF APIs

Not specified

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