Average Ratings 2 Ratings
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Description
Introducing a rapid market-ready solution designed for the extraction of information from unstructured PDFs, images, and scanned documents, featuring an intuitive template editor that requires no coding skills. Users can easily create templates using a visual interface, enabling the support of fields, tables, PDF forms, and both multi-paged and unstructured tables. The solution harnesses a robust OCR engine that accommodates multiple languages, allows for the reuse of AI-driven templates, and efficiently extracts text, tables, images, attachments, and various data types from PDFs. It reads tables and converts them into CSV format, retrieves text from images, and extracts attachments while providing multi-language OCR capabilities. Additionally, it is equipped to manage noisy images and damaged text effectively through integrated OCR filters. The system facilitates conversion to popular data formats such as TXT, JSON, XLS, XLSX, CSV, or XML, and offers advanced AI-driven functions for table and document analysis, ensuring an all-encompassing approach to data extraction and management. Furthermore, its user-friendly nature makes it accessible for all levels of users, enhancing productivity and efficiency in document processing tasks.
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
$10 per user 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
ByteScout
Founded
2006
Country
United States
Website
www.bytescout.com
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