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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "doclingr" in publications use:'
type: software
license: MIT
title: 'doclingr: Document Intelligence via ''Docling'''
version: 0.1.0
abstract: 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.
authors:
- family-names: Leite
  given-names: Andre
  email: leite@castlab.org
- family-names: Wasilew
  given-names: Marcos
  email: marcos.wasilew@gmail.com
- family-names: Vasconcelos
  given-names: Hugo
  email: hugo.vasconcelos@ufpe.br
- family-names: Amorim
  given-names: Carlos
  email: carlos.agaf@ufpe.br
- family-names: Bezerra
  given-names: Diogo
  email: diogo.bezerra@ufpe.br
repository: https://cran.r-universe.dev
repository-code: https://github.com/StrategicProjects/doclingr
commit: 827d89d1050de616cfab47ea1c80e3b7819eeea8
url: https://strategicprojects.github.io/doclingr/
date-released: '2026-07-10'
contact:
- family-names: Leite
  given-names: Andre
  email: leite@castlab.org