Identify citation style
using AI
Below is a free classifier to identify citation style. Just input your text, and our AI will predict the appropriate citation style for the given reference. - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("citation-style", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/citation-style/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_text_here"}
)
})
.then(response => response.json())
.then(data => console.log(data));
curl -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_BEARER_TOKEN" \
-d '{"data": "your_text_here"}' \
https://www.nyckel.com/v1/functions/citation-style/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict the appropriate citation style for the given reference..
This pretrained text model uses a Nyckel-created dataset and has 26 labels, including Acs, Ama, Apa, Apa 6Th Edition, Apa 7Th Edition, Apsa, Asa, Au, Bluebook and Chicago.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the appropriate citation style for the given reference.).
Whether you're just curious or building citation style detection into your application, we hope our classifier proves helpful.
Need to identify citation style at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Academic Research Management: This function can be used by academic institutions to automate the process of identifying and categorizing citation styles in research papers. By processing submissions, the system can ensure adherence to specific formatting guidelines, facilitating smoother peer reviews and publication processes.
- Content Management Systems: Publishers and online content platforms can integrate this function to tag documents with appropriate citation styles. This helps maintain consistency across their repositories and enhances the user experience by allowing easy filtering of documents based on citation formats.
- Plagiarism Detection Tools: Educational technology companies can implement this function in their plagiarism detection software. By correctly identifying the citation styles used, the tool can provide more accurate feedback and suggestions for proper citation practices to enhance academic integrity.
- Reference Management Applications: Developers of reference management tools can utilize this function to improve the automatic detection of citation styles in user-generated content. This enables seamless integration of various citation formats, making it easier for users to manage their bibliographies efficiently.
- Online Collaboration Platforms: Tools designed for collaborative writing can integrate this function to help teams identify and standardize citation styles in real time. This ensures that all contributors are following the same guidelines, reducing confusion and enhancing the quality of the final document.
- Legal Document Review Services: Law firms can benefit from this function by streamlining the review of legal documents that require specific citation formats. By automatically identifying the citation styles used, legal professionals can ensure compliance with court requirements and improve document accuracy.
- Educational Assessment Tools: Educational technology providers can use this function in assessment systems to evaluate students' understanding of citation practices. By identifying the citation styles used in student submissions, teachers can provide targeted feedback and enhance teaching methods around proper citation practices.