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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.
Getting started
Browse package contents
Package details |
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| 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> |
| License | MIT + file LICENSE |
| Version | 0.1.1 |
| URL | https://github.com/StrategicProjects/doclingr https://strategicprojects.github.io/doclingr/ |
| Package repository | View on CRAN |
| Installation |
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