Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Docling is a user-friendly, self-sufficient, open-source toolkit licensed under MIT that facilitates the transformation of disorganized documents into structured data, thereby enhancing subsequent document and AI workflows. This versatile tool can interpret a wide array of document types, including PDF, DOCX, PPTX, XLSX, HTML, Markdown, AsciiDoc, CSV, images, audio files, and even scanned documents using any preferred OCR engine. Docling proficiently identifies and processes various elements such as tables, formulas, reading sequences, bounding boxes, headers, footers, images, captions, code snippets, list items, paragraphs, and overall document architecture, which significantly aids in the searchability and integration of the extracted content into AI systems, retrieval-augmented generation, and agent-based applications. Furthermore, it allows for exporting the parsed output in formats like JSON, plain text, Markdown, HTML, and Doctags, thus providing developers with versatile options for their development pipelines and applications. By efficiently organizing and managing components based on reading sequence, Docling breaks down documents into manageable, continuous text segments, optimizing the processing experience.
Description
The library python-docx is designed for manipulating Microsoft Word (.docx) files using Python. In Word documents, paragraphs play a crucial role, serving not only as body text but also for headings and list items like bullets. Users can define both width and height for elements, although it is generally advisable to avoid doing so. When a single dimension is specified, python-docx automatically calculates the other dimension to maintain the aspect ratio, ensuring that images retain their intended appearance without distortion. If you are unfamiliar with Word paragraph styles, it’s worth exploring, as these styles allow you to apply a comprehensive set of formatting options to a paragraph in one go. The library enables users to create new documents or modify existing ones, and while it primarily focuses on making alterations to current documents, starting with an empty file may give the impression of building a document from the ground up. By utilizing this library, users can streamline their workflow in creating and editing Word documents effectively.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Python
Yes
Google Sheets
Yes
HTML
Yes
JSON
Yes
Markdown
Yes
Microsoft Excel
Yes
Microsoft Word
No
Model Context Protocol (MCP)
Yes
Integrations
Python
Yes
Google Sheets
No
HTML
No
JSON
No
Markdown
No
Microsoft Excel
No
Microsoft Word
Yes
Model Context Protocol (MCP)
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
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
No
Vendor Details
Company Name
Docling
Country
United States
Website
www.docling.ai/
Vendor Details
Company Name
python-docx
Website
python-docx.readthedocs.io/en/latest/
Product Features
OCR
Batch Processing
No
Convert to PDF
No
ID Scanning
No
Image Pre-processing
No
Indexing
No
Metadata Extraction
No
Multi-Language
No
Multiple Output Formats
No
Text Editor
No
Zone Selection Tool
No