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Description
The PDFix SDK empowers users to automatically enhance the accessibility of existing PDF documents. It facilitates the conversion of standard PDFs into high-quality, accessible PDF/UA formats. With its auto-tagging capability, the SDK identifies crucial document elements such as text, images, tables, headers and footers, headings, lists, and reading order. By enabling automated batch processing, it not only saves valuable time but also significantly lowers remediation expenses. If you've ever attempted to extract information from multiple PDF files, you certainly understand the challenges involved. Utilizing advanced machine learning techniques, the SDK has developed an algorithm that enables seamless and structured data extraction. As a result, users can easily identify various logical components, including text, headings, images, tables, headers and footers, and lists. Furthermore, it allows for scraping data from PDFs and converting it into your preferred formats, such as HTML, CSV, JSON, or XML, making the process much more efficient and user-friendly. This functionality is particularly beneficial for organizations aiming to improve their document accessibility and streamline data management.
Description
pdf2docx is a Python library that leverages PyMuPDF to extract information from PDF documents, analyze their layouts based on specific rules, and create corresponding .docx files using python-docx. This library facilitates the conversion of various elements, including text, images, and tables, and is equipped with features to extract tables, manage formatting, and maintain layout integrity as much as possible. In addition, it offers a command-line interface as well as a graphical user interface to accommodate different user preferences. Its modular architecture comprises distinct packages for managing pages, layouts, tables, images, shape paths, text spans, and other components, allowing for precise control over the translation of PDF content into Word documents. Developers can take advantage of the API for batch conversion processes or seamlessly integrate it into their existing workflows. Comprehensive documentation is provided, covering installation (available from PyPI or source), usage instructions, and technical insights into layout parsing, table extraction, and the various internal modules. The project is open-source and hosted on GitHub, operating under its license and disclaiming any warranties. Overall, pdf2docx is a versatile tool that significantly streamlines the conversion process from PDF to Word format, making it an essential asset for anyone working with these file types.
API Access
Has API
API Access
Has API
Integrations
GitHub
Microsoft Word
PyMuPDF
PyPI
Python
Pricing Details
$490 per year
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
PDFix
Country
Slovakia
Website
pdfix.net
Vendor Details
Company Name
Artifex
Founded
1993
Country
United States
Website
pdf2docx.readthedocs.io/en/latest/
Product Features
Annotations
Convert to PDF
Digital Signature
Encryption
Merge / Append
PDF Reader
Watermarking
Product Features
Annotations
Convert to PDF
Digital Signature
Encryption
Merge / Append
PDF Reader
Watermarking