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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Parsie is a sophisticated AI-based document parsing solution that efficiently retrieves essential information from various formats, including PDFs, Word documents, images, and emails, ensuring a high level of precision. This tool is particularly beneficial for handling resumes, invoices, contracts, and reports, as it automates the often tedious manual data entry process, thereby enabling businesses to enhance their workflows and conserve valuable time. How It Operates ✅ Upload – Just drag and drop your PDFs, Word files, or images into the interface. ✅ AI Extraction – Our advanced AI technology identifies and extracts vital information automatically. ✅ Export & Integrate – You can download the structured data in formats like CSV and JSON, or synchronize it through API, Google Sheets, or Zapier. Essential Features 🔹 AI-Powered OCR – Accurately reads and extracts text from scanned documents and images. 🔹 Custom Extraction Rules – Specify the exact data you wish to extract, without any programming skills needed. 🔹 Schema Generation – The AI provides recommendations for structured formats based on your extracted data. 🔹 API Access – Automate your parsing needs and seamlessly incorporate it into your existing workflow. 🔹 Batch Processing – Handle multiple documents simultaneously for efficient data extraction. Additionally, Parsie offers an intuitive user interface that simplifies the entire process, making it accessible even for those with limited technical expertise.

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 Yes 

API Access

Has API Yes 

Screenshots View All

No images available

Screenshots View All

Integrations

GitHub No 
Microsoft Word No 
PyMuPDF No 
PyPI No 
Python No 

Integrations

GitHub Yes 
Microsoft Word Yes 
PyMuPDF Yes 
PyPI Yes 
Python Yes 

Pricing Details

$12
Free Trial Yes 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Parsie

Founded

2025

Country

United States

Website

parsie.pro

Vendor Details

Company Name

Artifex

Founded

1993

Country

United States

Website

pdf2docx.readthedocs.io/en/latest/

Product Features

Resume Parsing

Automated Application Input No 
Automatic Updating No 
Customizable Macros No 
Data Extraction No 
Multi-Language No 
Resume Import No 
Resume Management No 
Semantic Matching No 
Social Media Corroboration No 
Sort / Filter No 
White Label Option No 

Product Features

PDF

Annotations No 
Convert to PDF No 
Digital Signature No 
Encryption No 
Merge / Append No 
PDF Reader No 
Watermarking No 

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