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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 Pixcribe?

Pixcribe is a cutting-edge AI-powered application designed to streamline the process of data extraction by transforming chaotic documents into well-structured, actionable information. It enables users to upload an array of file types, such as PDFs, scanned images, invoices, receipts, forms, screenshots, and various business documents, while allowing them to select specific data fields for extraction, including names, dates, total amounts, invoice numbers, addresses, identification numbers, table entries, line items, and customized values. Going beyond the limitations of conventional optical character recognition (OCR), Pixcribe utilizes advanced artificial intelligence to interpret the context, labels, tables, and layouts found within documents, thus empowering users to access necessary information from files that may not be perfectly organized. Moreover, the platform provides an option for users to review extracted data before exporting, significantly reducing the likelihood of human errors and promoting the smooth integration of information into spreadsheets, databases, internal systems, or automated workflows. This feature not only boosts productivity but also ensures that users can operate with high-quality data in an effective manner, thus elevating their overall workflow efficiency. With Pixcribe, organizations can enhance their data management processes and make informed decisions based on accurate information.

Media

Media

No images available

Integrations Supported

GitHub
Microsoft Word
PyMuPDF
PyPI
Python

Integrations Supported

GitHub
Microsoft Word
PyMuPDF
PyPI
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

$21/month/user
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Artifex

Date Founded

1993

Company Location

United States

Company Website

pdf2docx.readthedocs.io/en/latest/

Company Facts

Organization Name

Pixcribe

Date Founded

2025

Company Location

United States

Company Website

pixcribe.com

Categories and Features

PDF

Annotations
Convert to PDF
Digital Signature
Encryption
Merge / Append
PDF Reader
Watermarking

Categories and Features

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

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