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Description
Unsiloed AI is an enterprise document intelligence platform built to transform unstructured documents into structured, LLM-ready data. The platform processes PDFs, images, spreadsheets, scans, and multimodal files, then outputs clean JSON, Markdown, or structured fields for AI agents, LLM applications, vector databases, and data warehouses. Its core capabilities include parsing, extraction, and document splitting, allowing teams to use each function independently or chain them into a full production pipeline. Unsiloed’s parser converts complex documents into Markdown while preserving structure across text, tables, charts, figures, forms, handwriting, signatures, and visual hierarchy. Its extraction engine pulls schema-specific fields into JSON and uses domain awareness to understand documents such as invoices, contracts, financial reports, healthcare records, and regulatory filings. Its splitting tools can separate mixed files into individual documents or break long documents into retrievable chunks while preserving parent-child relationships and surrounding context. The platform is powered by proprietary dual-stream vision models that combine a data stream for tokens and entities with a layout stream for bounding boxes, alignment, indentation, and visual structure. Unsiloed is designed to solve the problem of fragile OCR and DIY pipelines that break when document layouts change. For enterprise AI teams, Unsiloed provides a more reliable document layer for turning high-value unstructured data into assets that can be searched, reasoned over, and used in production AI systems.
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
No
API Access
Has API
Yes
Screenshots View All
No images available
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
No price information available.
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)
No
Online Support
Yes
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
Unsiloed.ai
Founded
2025
Country
United States
Website
www.unsiloed.ai/
Vendor Details
Company Name
Artifex
Founded
1993
Country
United States
Website
pdf2docx.readthedocs.io/en/latest/
Product Features
Data Extraction
Disparate Data Collection
No
Document Extraction
No
Email Address Extraction
No
IP Address Extraction
No
Image Extraction
No
Phone Number Extraction
No
Pricing Extraction
No
Web Data Extraction
No
Product Features
Annotations
No
Convert to PDF
No
Digital Signature
No
Encryption
No
Merge / Append
No
PDF Reader
No
Watermarking
No
