What is the percentile breakdown (p50, p75, etc.) of parsing times for a large batch of resumes and JD?

Resume & JD Parser Performance Metrics (pX Percentiles)

When parsing a batch of resumes or job descriptions, P(n) denotes the percentile parsing time — meaning n% of documents were parsed within the specified time.

Resume Parser

For Example:

Below are the pX metrics for the Resume Parser API:-

Batch Used:- 6M

JD Parser API

Below are the pX metrics for the JD Parser API:-

Batch Used:- 0.3m

So the table provided above states as follows:

1. For 50% of the resumes, parsing time is less than 879ms
2. For 75% of the resumes, parsing time is less than 1353ms
3. For 90% of the resumes, parsing time is less than 2241ms
4. For 95% of the resumes, parsing time is less than 3129ms
5. For 99% of the resumes, parsing time is less than 7738ms

Note:- The parsing time of a resume depends on the number of pages in the resume, the formatting of the resume, and other details.

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