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docling4j

Docling4j brings the functionalities of Docling in document understanding to Java® projects

https://github.com/docling-project/docling4j

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ○
    .zenodo.json file
  • ✓
    DOI references
    Found 1 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: arxiv.org
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (15.4%) to scientific vocabulary

Keywords

ai docling document-parser document-parsing document-understanding documents java pdf pdf-converter pdf-to-json
Last synced: 4 months ago · JSON representation ·

Repository

Docling4j brings the functionalities of Docling in document understanding to Java® projects

Basic Info
Statistics
  • Stars: 12
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
ai docling document-parser document-parsing document-understanding documents java pdf pdf-converter pdf-to-json
Created 10 months ago · Last pushed 9 months ago
Metadata Files
Readme License Code of conduct Citation Security

README.md

License MIT semantic-release: angular graalpy

Docling4j version 0.1.1

Docling4j brings the functionalities of Docling in document understanding to Java® projects.

Installation (WIP)

The current version of this library is: 0.1.1

To use it in your project, define a dependency that contains the artifact coordinates (group id, artifact id and version) for the service, like this:

Maven

xml <dependency> <groupId>com.ibm.docling</groupId> <artifactId>docling4j</artifactId> <version>0.1.1</version> </dependency>

docling4j uses GraalPy, a high-performance embeddable Python 3 runtime for Java. Although not required, Oracle GraalVM JDK is recommended for running docling4j, since it supports runtime compilation to native code and efficient execution of embedded applications. Find more details on the level of optimizations of different Java runtimes here.

Get help and support

Please feel free to connect with us using the discussion section.

Technical report

For more details on Docling's inner workings, check out the Docling Technical Report.

Code of conduct

See Code of Conduct for details.

References

If you use Docling in your projects, please consider citing the following:

bib @techreport{Docling, author = {Deep Search Team}, month = {8}, title = {Docling Technical Report}, url = {https://arxiv.org/abs/2408.09869}, eprint = {2408.09869}, doi = {10.48550/arXiv.2408.09869}, version = {1.0.0}, year = {2024} }

License

The Docling codebase is under MIT license. For individual model usage, please refer to the model licenses found in the original packages.

LF AI & Data

Docling is hosted as a project in the LF AI & Data Foundation.

IBM ❤️ Open Source AI

The project was started by the AI for knowledge team at IBM Research Zurich.

Owner

  • Name: Docling Project
  • Login: docling-project
  • Kind: organization
  • Location: Switzerland

Citation (CITATION.cff) 

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: Docling
message: 'If you use Docling, please consider citing as below.'
type: software
authors:
  - name: Docling Team
identifiers:
  - type: url
    value: 'https://arxiv.org/abs/2408.09869'
    description: 'arXiv:2408.09869'
repository-code: 'https://github.com/DS4SD/docling'
license: MIT

GitHub Events

Total
  • Release event: 1
  • Watch event: 11
  • Delete event: 8
  • Push event: 9
  • Public event: 1
  • Pull request event: 12
  • Create event: 7
Last Year
  • Release event: 1
  • Watch event: 11
  • Delete event: 8
  • Push event: 9
  • Public event: 1
  • Pull request event: 12
  • Create event: 7

Committers

Last synced: 6 months ago

All Time
  • Total Commits: 11
  • Total Committers: 2
  • Avg Commits per committer: 5.5
  • Development Distribution Score (DDS): 0.182
Past Year
  • Commits: 11
  • Committers: 2
  • Avg Commits per committer: 5.5
  • Development Distribution Score (DDS): 0.182
Top Committers
Name Email Commits
Cesar Berrospi Ramis 7****m 9
semantic-release-bot s****t@m****t 2
Committer Domains (Top 20 + Academic)
martynus.net: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 0
  • Total pull requests: 8
  • Average time to close issues: N/A
  • Average time to close pull requests: 3 minutes
  • Total issue authors: 0
  • Total pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 8
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 8
  • Average time to close issues: N/A
  • Average time to close pull requests: 3 minutes
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 8
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
Pull Request Authors
  • ceberam (16)
Top Labels
Issue Labels
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Dependencies

.github/workflows/build.yaml actions
  • actions/checkout v4 composite
  • actions/setup-java v4 composite
  • actions/setup-node v4 composite
pom.xml maven
  • org.graalvm.polyglot:polyglot 24.2.0
  • org.graalvm.polyglot:python 24.2.0
  • junit:junit 4.13.2 test
package.json npm
  • @semantic-release/changelog ^6.0.3 development
  • @semantic-release/exec ^7.0.3 development
  • @semantic-release/git ^10.0.1 development
  • semantic-release ^24.2.3 development