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Grobid is a machine learning-based tool designed for extracting bibliographic data from PDF documents. It automatically identifies and parses structured information such as titles, authors, references, and more, making it a powerful resource for document analysis and academic workflows.
• Bibliographic Data Extraction: Accurately extracts metadata like title, authors, publication venue, and dates from PDFs.
• Reference Parsing: Identifies and extracts references from academic papers, supporting multiple citation styles.
• Document Segmentation: Recognizes sections like abstracts, keywords, and conclusions within documents.
• Multilingual Support:Processes documents in multiple languages, expanding its utility across global research.
• Open Source: Freely available for use, customization, and integration into other applications.
• High Accuracy: Leverages advanced machine learning models to ensure precise data extraction.
docker run -d --name grobid -p 8070:8070 grobid/grobid
What file formats does Grobid support?
Grobid primarily works with PDF documents, but it can also process other text-based formats to some extent.
Can Grobid handle handwritten or scanned PDFs?
Grobid performs best with machine-readable PDFs. Scanned or handwritten documents may require OCR (Optical Character Recognition) preprocessing for accurate results.
Is Grobid free to use?
Yes, Grobid is open-source and free to use, making it accessible for academic and research purposes.