Is there a way to validate or audit the accuracy of resume parsing results through RChilli?

Yes, RChilli provides multiple ways to validate and audit the accuracy of parsing results. Here’s how you can ensure your resumes are being parsed correctly:

• Batch Testing: You can upload multiple resumes at once to check parsing consistency across different formats, layouts, and structures. This helps validate large-scale accuracy before going live.
• Confidence Scores: Each field extracted by the Resume Parser (e.g., skills, education, work experience) comes with a confidence score. These scores help you evaluate the reliability of the parsed data and quickly identify fields that may need closer inspection.
• Resume Quality Score: Along with parsed fields, RChilli can also return a Resume Quality score. This provides insights into how complete and well-structured a resume is, helping recruiters assess candidate data readiness.
• Review the Parser Response: After uploading a resume, check the JSON response returned by the Resume Parser API. The structured data (skills, experience, education, etc.) is clearly displayed, along with any error messages or warnings.
• Inspect the “DetailResume” Field: The API response includes the DetailResume field, which shows the raw text extracted from the resume. You can compare this against the original resume to verify parsing accuracy.
• Use the RChilli Dashboard: If you’re using RChilli’s MyAccount Panel, you can directly view parsed resume data. This includes structured fields like skills, experience, and education, making it easy to validate.
• Manual Comparison: For thorough auditing, you can manually compare parsed data against the original resume to ensure all key details are extracted correctly.
• Parsing Errors & Logs: If discrepancies occur, error logs and response codes will highlight specific resume sections that need attention.

For more information visit this link: Resume Parser
For further assistance, email support@rchilli.com.