Grobid
Grobid is a machine learning library for extracting, parsing, and restructuring raw documents such as PDF into structured TEI-encoded documents.
FreeWebAPICLIOpen sourceKorean
Visit websitegithub.com
Compare with OpenEvidenceExplore Grobid alternativesOverview
Grobid is a machine learning library for extracting, parsing, and restructuring raw documents such as PDF into structured TEI-encoded documents. It focuses on technical and scientific publications, extracting headers, citations, and full-text structures with high accuracy using CRF and Deep Learning models. It is widely used in digital libraries and research data pipelines.
Key features
- Header metadata extraction
- Full-text structuring to TEI/XML
- Citation parsing and resolution
- Formula and table extraction
- High-performance REST API
- Docker support
- Large-scale parallel processing
Pricing
Use cases
- Building large-scale paper databases
- Automated citation analysis
- Academic search engine indexing
- Research trend analysis
Who it is for
Data scientistsAcademic ResearchersDigital Library Developers
Integrations
Python (Grobid-client)ElasticsearchDockerCrossref
How we verified this
Company, pricing, and feature details come from the primary sources below and our latest verification pass. When sources disagree, the official source and the most recent check win.
Last verified 08/30/2026Verified sources: 1
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