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Resume/Application Data Extraction

Resume/Application Data Extraction header

Extract the following information from job application documents:

You describe it

Extract the following information from job application documents:

Required Fields

  • Candidate name

  • Email address

  • Phone number

  • Current job title

  • Years of experience

  • Highest education level (High School, Associate, Bachelor, Master, PhD, or Other)

  • Expected salary (if mentioned)

Validation Rules

  • Email must be valid format

  • Phone should be normalized to E.164 format (+1XXXXXXXXXX)

  • Years of experience must be a number

  • Education level must map to one of: High School, Associate, Bachelor, Master, PhD, Other

Handling Missing Data

  • If salary not mentioned, set to null

  • If current title missing, infer from most recent work experience

  • If years of experience not explicitly stated, calculate from work history dates

  • If a field genuinely doesn't exist in the document, return null (do not guess or hallucinate)

Output Requirements

  • Return structured JSON with all extracted fields

  • Include confidence score (0-1) for each field

  • Flag any fields with confidence < 0.7 for human review

  • For flagged fields, provide brief reasoning for low confidence

Processing Guidelines

  • Ignore cover letters or personal statements when extracting structured data

  • Handle both text-based and scanned/image documents

  • Process multi-page documents completely

  • If multiple phone numbers exist, prefer mobile over work

  • If multiple email addresses exist, prefer personal over work

We build it

Extract Data

Upload a resume or job application document (PDF or image) and extract structured candidate data including contact details, experience, education, and salary expectations with confidence and review flags.

Resume Document

Provide the resume or job application file to extract structured candidate data from.

Try me

Required Fields

  • Candidate name

  • Email address

  • Phone number

  • Current job title

  • Years of experience

  • Highest education level (High School, Associate, Bachelor, Master, PhD, or Other)

  • Expected salary (if mentioned)

Validation Rules

  • Email must be valid format

  • Phone should be normalized to E.164 format (+1XXXXXXXXXX)

  • Years of experience must be a number

  • Education level must map to one of: High School, Associate, Bachelor, Master, PhD, Other

Handling Missing Data

  • If salary not mentioned, set to null

  • If current title missing, infer from most recent work experience

  • If years of experience not explicitly stated, calculate from work history dates

  • If a field genuinely doesn't exist in the document, return null (do not guess or hallucinate)

Output Requirements

  • Return structured JSON with all extracted fields

  • Include confidence score (0-1) for each field

  • Flag any fields with confidence < 0.7 for human review

  • For flagged fields, provide brief reasoning for low confidence

Processing Guidelines

  • Ignore cover letters or personal statements when extracting structured data

  • Handle both text-based and scanned/image documents

  • Process multi-page documents completely

  • If multiple phone numbers exist, prefer mobile over work

  • If multiple email addresses exist, prefer personal over work

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