Package: doclingr
Title: Document Intelligence via 'Docling'
Version: 0.1.1
Authors@R: c(
    person("André", "Leite", email = "leite@castlab.org", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-4718-9766")),
    person("Marcos", "Wasiliew", email = "marcos.wasiliew@gmail.com", role = "aut",
           comment = c(ORCID = "0009-0004-4694-3159")),
    person("Hugo", "Vasconcelos", email = "hugo.vasconcelos@ufpe.br", role = "aut",
           comment = c(ORCID = "0000-0001-6249-0920")),
    person("Carlos", "Amorim", email = "carlos.agaf@ufpe.br", role = "aut",
           comment = c(ORCID = "0000-0001-6315-8305")),
    person("Diogo", "Bezerra", email = "diogo.bezerra@ufpe.br", role = "aut",
           comment = c(ORCID = "0000-0002-1216-8674")),
    person("Júlia", "Nascimento Barreto", email = "juliabarreto@gd.seplag.pe.gov.br", role = "aut",
           comment = c(ORCID = "0009-0004-2851-7770")))
Description: 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.
License: MIT + file LICENSE
Language: en-US
Encoding: UTF-8
RoxygenNote: 8.0.0
URL: https://github.com/StrategicProjects/doclingr,
        https://strategicprojects.github.io/doclingr/
BugReports: https://github.com/StrategicProjects/doclingr/issues
SystemRequirements: Python (>= 3.9), docling (>= 2.20.0; tested with
        2.143.1)
Imports: reticulate (>= 1.34.0), cli, rlang, stats, tibble, tools
Suggests: arrow, testthat (>= 3.0.0), knitr, rmarkdown
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-27 20:22:26 UTC; leite
Author: André Leite [aut, cre] (ORCID: <https://orcid.org/0000-0002-4718-9766>),
  Marcos Wasiliew [aut] (ORCID: <https://orcid.org/0009-0004-4694-3159>),
  Hugo Vasconcelos [aut] (ORCID: <https://orcid.org/0000-0001-6249-0920>),
  Carlos Amorim [aut] (ORCID: <https://orcid.org/0000-0001-6315-8305>),
  Diogo Bezerra [aut] (ORCID: <https://orcid.org/0000-0002-1216-8674>),
  Júlia Nascimento Barreto [aut] (ORCID:
    <https://orcid.org/0009-0004-2851-7770>)
Maintainer: André Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-10-28 00:20:10 UTC
