doclingr: Document Intelligence via 'Docling'

An interface to 'Docling', a document-understanding library that converts 'PDF', 'DOCX', 'PPTX', 'HTML' and image documents into structured, AI-ready data. The package wraps the 'Docling' 'Python' package through 'reticulate' to extract layout-aware text, tables and metadata, export to 'Markdown' or 'JSON', and split documents into context-rich chunks suitable for retrieval-augmented generation (RAG) and embedding pipelines.

Version:	0.1.0
Imports:	reticulate (≥ 1.34.0), cli, rlang, stats, tibble
Suggests:	testthat (≥ 3.0.0), knitr, rmarkdown
Published:	2026-07-10
DOI:	10.32614/CRAN.package.doclingr
Author:	Andre Leite [aut, cre], Marcos Wasilew [aut], Hugo Vasconcelos [aut], Carlos Amorim [aut], Diogo Bezerra [aut]
Maintainer:	Andre Leite <leite at castlab.org>
BugReports:	https://github.com/StrategicProjects/doclingr/issues
License:	MIT + file LICENSE
URL:	https://github.com/StrategicProjects/doclingr, https://strategicprojects.github.io/doclingr/
NeedsCompilation:	no
SystemRequirements:	Python (>= 3.9), docling (>= 2.20.0; tested with 2.107.0)
Language:	en-US
Materials:	README, NEWS
CRAN checks:	doclingr results

Documentation:

Reference manual:	doclingr.html , doclingr.pdf
Vignettes:	From documents to a RAG corpus in R (source, R code) Conversion options and performance (source, R code) Building a RAG pipeline (source, R code) Extracting tables from documents (source, R code)

Downloads:

Package source:	doclingr_0.1.0.tar.gz
Windows binaries:	r-devel: doclingr_0.1.0.zip, r-release: doclingr_0.1.0.zip, r-oldrel: doclingr_0.1.0.zip
macOS binaries:	r-release (arm64): doclingr_0.1.0.tgz, r-oldrel (arm64): doclingr_0.1.0.tgz, r-release (x86_64): doclingr_0.1.0.tgz, r-oldrel (x86_64): doclingr_0.1.0.tgz

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