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How does the Resume Parser API work?
Everything You Need to Know About Resume Parser API
Hiring teams today deal with thousands of resumes, and manual screening slows everything down. Arya.ai’s Resume Parser API automates this process, turning messy, unstructured resumes into clean, structured profiles ready to evaluate, score, and act on.
It’s built to help recruiters, HR tech companies, and job platforms make faster, more data-driven hiring decisions.
Features of a Good Resume Parser API
High Accuracy with Complex Layouts
Recognizes sections across various formats — even non-standard, design-heavy resumes — precisely.
Multi-Language Support
Parse CVs in English, Spanish, French, and German without losing context or detail.
Field-Level Control
Configure which fields to extract or prioritize, from essential screening to skill-specific matching, depending on your use case.
Low Latency, High Volume
Built to parse millions of resumes with low processing time, it is perfect for job portals and enterprise ATS.
How Arya.ai’s Resume Parser API Works
- Upload Resume: Accept resumes via form, email, or bulk upload.
- AI Extraction: Our parser identifies and extracts relevant fields with contextual tagging.
- Structured Output: Get clean JSON output with every data point neatly organized.
- Integrate & Use: Feed data into your ATS, job matching system, or candidate scoring tool.
Benefits of Using a Resume Parsing API
Faster Shortlisting
Skip manual screening and focus on qualified candidates earlier in the funnel.
Better Candidate Experience
Auto-fill application forms using parsed data, reducing friction and dropout rates.
Improved Match Accuracy
Quickly assess candidates based on skills, experience, or role fit — not just keywords.
Scalable Hiring Ops
Whether you’re handling 100 resumes a week or 100,000 a day, the API scales with your needs.
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