Identify language of api documentation
using AI
Below is a free classifier to identify language of api documentation. Just input your text, and our AI will predict the appropriate API endpoints for your requests - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("language-of-api-documentation", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/language-of-api-documentation/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/language-of-api-documentation/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict the appropriate API endpoints for your requests.
This pretrained text model uses a Nyckel-created dataset and has 46 labels, including Afrikaans, Arabic, Armenian, Basque, Bulgarian, Catalan, Croatian, Czech, Danish and Dutch.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the appropriate API endpoints for your requests).
Whether you're just curious or building language of api documentation detection into your application, we hope our classifier proves helpful.
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Need to identify language of api documentation at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- API Documentation Localization: This use case involves identifying the language of API documentation to ensure accurate translation for international developers. By classifying the language, businesses can streamline the localization process, enabling them to cater to diverse user bases.
- Quality Assurance in API Documentation: Organizations can utilize the language classifier to ensure that API documentation is written in the correct language before publication. This helps maintain high standards of quality and prevents miscommunication due to language errors.
- Personalized Developer Experience: By detecting the language of API documentation, companies can personalize the developer experience by directing users to resources in their preferred language. This leads to improved user engagement and satisfaction with the API offerings.
- Content Management System Integration: Integrating the language classification function into a Content Management System (CMS) allows for better organization of API documentation. Users can filter documentation based on language, making navigation easier and more efficient for global teams.
- Analytics for API Usage: Businesses can gather insights on which language versions of their API documentation are most frequently accessed. This data helps inform marketing strategies and resource allocation for further localization and development.
- Automated Language Tagging: Automatically tagging API documentation with language identifiers can aid in content discovery both internally and externally. This functionality enhances searchability and ensures teams can quickly find relevant documents in their preferred language.
- Compliance and Regulation Checks: For organizations operating in multiple countries, ensuring that API documentation meets local language regulations is crucial. The language classification function assists in verifying compliance with legal requirements regarding language use in technical documentation.