Package profile

docling-ibm-models

Summary: This package contains the AI models used by the Docling PDF conversion package
Author: Nikos Livathinos <nli@zurich.ibm.com>, Maxim Lysak <mly@zurich.ibm.com>, Ahmed Nassar <ahn@zurich.ibm.com>, Christoph Auer <cau@zurich.ibm.com>, Michele Dolfi <dol@zurich.ibm.com>, Peter Staar <taa@zurich.ibm.com>
License: MIT
Homepage: https://github.com/docling-project/docling-ibm-models
Source: https://github.com/docling-project/docling-ibm-models
Number of releases: 60
First release: 0.1.0 on 2024-07-15
Latest release: 3.14.0 on 2026-08-11
Latest release size: 92.2 KB (pure Python wheel)

Source: ClickPy

Docling-ibm-models has 15 dependencies, 2 of which optional.

Packages depending on docling-ibm-models (1).
Package	Optional	Group
docling-slim	true	all

pymupdf-layoutPyMuPDF Layout turns PDFs into structured data 10× faster than vision-based tools using AI trained on PDF internals, not images. CPU-only. No GPU required.
doclingSDK and CLI for parsing PDF, DOCX, HTML, and more, to a unified document representation for powering downstream workflows such as gen AI applications.
autoevalsUniversal library for evaluating AI models
fpdfSimple PDF generation for Python
pydyfA low-level PDF generator.
rpaframework-pdfPDF library of RPA Framework
pdfminerPDF parser and analyzer