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Average Ratings 0 Ratings
Description
Genuine attention, as assessed by Parse.ly, uncovers how individuals choose to allocate their time—highlighting what captivates them and what holds significance in their lives. Through its data, Parse.ly investigates the interests of consumers and the priorities of media organizations. The platform equips creators, marketers, and developers with essential tools to gauge content effectiveness, validate its worth, and craft personalized content experiences that yield substantial outcomes. By utilizing real-time analytics, you can maintain an understanding of your current audience engagement. Furthermore, drawing on historical insights allows for a comprehensive view of past trends to aid in future planning. With a suite of over 30 distinct attention metrics, along with subscriber tracking and segmentation capabilities, Parse.ly provides all the resources you need to succeed. Instead of worrying about whether your metrics are correct, shift your focus to taking decisive action based on the insights you gather. Ultimately, Parse.ly empowers you to make informed decisions that enhance your content strategy and foster deeper connections with your audience.
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
Brightspot
Convert Experiences
Freshpaint
GitHub
Google Tag Manager
Microsoft Word
PostUp
PyMuPDF
PyPI
Python
Integrations
Brightspot
Convert Experiences
Freshpaint
GitHub
Google Tag Manager
Microsoft Word
PostUp
PyMuPDF
PyPI
Python
Pricing Details
No price information available.
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
Parse.ly
Founded
2009
Country
United States
Website
www.parse.ly/
Vendor Details
Company Name
Artifex
Founded
1993
Country
United States
Website
pdf2docx.readthedocs.io/en/latest/
Product Features
Web Analytics
Campaign Management
Conversion Tracking
Form Analytics
Goal Tracking
Keyword Tracking
Multiple Site Management
Pageview Tracking
Referral Source Tracking
Site Search Tracking
Time on Site Tracking
User Interaction Tracking
Product Features
Annotations
Convert to PDF
Digital Signature
Encryption
Merge / Append
PDF Reader
Watermarking