Extract Citation Extractor — Research AI

Researchers analyze thousands of documents for insights. Manual analysis is time-consuming and may miss connections.

22
Fields Extracted
300s
Max Processing
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What This Template Does

AI-powered extraction using gemini-2.5-flash. Part of 113 production-ready templates.

Capabilities

  • Data Extraction
  • Summarization
  • Document Processing
  • Citations
  • Bibliography

Output Schema

{
  "$schema": "http://json-schema.org/draft-07/schema#",
  "title": "Citation Extractor Output Schema",
  "description": "Schema for extracted and normalized citation data",
  "type": "object",
  "properties": {
    "citations": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "authors": {
            "type": "array",
            "items": {
              "type": "string"
            },
            "description": "List of authors in LastName, 
...

Quick Start

$ pip install doclayer
$ doclayer process document.pdf --agent research.citation-extractor

See It In Action

Real extraction example showing input document and structured output.

Input Document
References

Anderson, M. J., & Thompson, R. K. (2023). Deep learning approaches for medical image segmentation: A comprehensive review. Journal of Medical Imaging and Analysis, 45(3), 234-267. https://doi.org/10.1016/j.jmia.2023.04.012

Chen, L., Williams, S., & Patel, N. (2022). Transformer architectures for time series forecasting. In Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS 2022) (pp. 1456-1469). Curran Associates.

Goodfellow, I., Bengio, Y., & Cou
Extracted Data
{
  "citations": [
    {
      "authors": [
        "Anderson, M.",
        "Thompson, R."
      ],
      "year": "2023",
      "title": "Deep learning approaches for medical image segmentation: A comprehensive review",
      "journal": "Journal of Medical Imaging and Analysis",
      "volume": "45",
      "issue": "3",
      "pages": "234-267",
      "doi": "10.1016/j.jmia.2023.04.012",
      "citation_type": "journal_article",
      "original_format": "APA"
    },
    {
      "authors": [
        "Chen, L.",
        "Williams, S.",
        "Patel, N."
      ],
      "year": "2022",
      "title": "Transformer architectures for time series forecasting",
      "conference": "36th Conference on Neural Information Processing Systems (NeurIPS 2022)",
      "pages": "1456-1469",
      "publisher": "Curran Associates",
      "citation_type": "conference_paper",
      "original_format": "APA"
    },
    {
      "authors": [
        "Goodfellow, I.",
        "Bengio, Y.",
        "Courville, A."
      ],
      "year": "2016",
      "title": "Deep learning",
      "publisher": "MIT Press",
      "citation_type": "book",
      "original_format": "APA"
    },
    {
      "authors": [
        "Harrison, K."
      ],
      "year": "2024",
      "title": "Federated learning in healthcare: Privacy-preserving machine learning for clinical applications",
      "publisher": "Stanford University",
      "citation_type": "thesis",
      "original_format": "APA"
    },
    {
      "authors": [
        "Johnson, R."
      ],
      "year": "2023",
      "title": "Attention mechanisms in natural language processing",
      "arxiv_id": "2303.08774",
      "citation_type": "preprint",
      "original_format": "APA"
    },
    {
      "authors": [
        "Martinez, S."
      ],
      "year": "2021",
      "title": "Statistical methods for genomic data analysis",
      "book_title": "Handbook of computational biology",
      "edition": "3rd",
      "pages": "45-89",
      "publisher": "Springer",
      "editors": [
        "Roberts, P.",
        "Zhang, Q."
      ],
      "citation_type": "book_chapter",
      "original_format": "APA"
    },
    {
      "authors": [
        "World Health Organization"
      ],
      "year": "2023",
      "title": "Global health statistics 2023",
      "url": "https://www.who.int/data/global-health-statistics",
      "access_date": "2023-12-01",
      "citation_type": "web_resource",
      "original_format": "APA"
    }
  ],
  "total_citations": 7,
  "format_distribution": {
    "APA": 7
  }
}

Example demonstrating extraction of academic and technical citations from a reference section. Shows parsing of multiple citation formats (APA, IEEE, etc.) with proper author, year, title, journal, and DOI normalization for structured output.

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Frequently Asked Questions

What documents can Citation Extractor process?

The Citation Extractor template processes research documents including various formats and layouts. See the instructions for specific document types supported.

How accurate is the Citation Extractor extraction?

The Citation Extractor template uses Gemini 2.5 Flash for high-accuracy extraction. Results include confidence scores for each field.

Can I customize the Citation Extractor template?

Yes, you can modify the extraction schema, add custom fields, or adjust the instructions to match your specific requirements.

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