Identify language of resume
using AI
Below is a free classifier to identify language of resume. Just input your text, and our AI will predict the most suitable language style for your resume - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("language-of-resume", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/language-of-resume/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-resume/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict the most suitable language style for your resume.
This pretrained text model uses a Nyckel-created dataset and has 42 labels, including Afrikaans, Arabic, Basque, Bengali, Bulgarian, Croatian, Czech, Danish, Dutch and English.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the most suitable language style for your resume).
Whether you're just curious or building language of resume detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify language of resume at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Resume Language Detection for Recruitment: Organizations can utilize the language of resume identifier to automatically filter incoming resumes based on language proficiency. This will streamline the recruitment process by ensuring that candidates meet the language requirements for specific job roles before they are reviewed by HR.
- Multilingual Job Portal Optimization: Job portals can employ this function to categorize and display listings in the appropriate languages for job seekers. This enhances user experience, allowing candidates to find jobs in their preferred language more easily, and improves engagement on the platform.
- Compliance in Bilingual Markets: Companies operating in bilingual regions can use the identifier to ensure compliance with local language laws. By verifying that documents and communications align with legal requirements, organizations can avoid penalties while serving diverse customer bases effectively.
- Personalized Candidate Experience: Recruitment platforms can leverage the function to tailor communication with candidates. By identifying the language of their resumes, platforms can send personalized messages and materials in the candidates’ preferred languages, increasing engagement and improving the overall experience.
- Training Material Localization: Businesses can use the language of resume identifier to determine the most common languages among their employees. This information allows them to create localized training materials that cater to their workforce's linguistic diversity, enhancing learning outcomes.
- Data Analysis for Diversity Metrics: Organizations can analyze the language of the resumes they receive to assess the diversity of their applicant pool. This data can drive initiatives aimed at increasing representation within the workforce and inform strategies to attract a broader range of candidates.
- AI-Driven Talent Matching: Recruitment technology can integrate this function to improve the accuracy of talent matching for bilingual positions. By identifying candidates' language competencies in their resumes, employers can utilize AI to better align candidates with roles that require specific language skills, resulting in more effective hires.