Work Experience Extraction
Structured work history extraction
Parse job titles, companies, dates, and responsibilities from resumes. Calculate total experience automatically.
How it works
Section detection
Identify work experience sections in any resume format.
Entry parsing
Extract each job with title, company, dates, and description.
Date normalization
Parse dates in any format to structured start/end dates.
Experience calculation
Calculate total years of experience automatically.
Key Benefits
Complete history
Extract all jobs, not just recent ones.
Date intelligence
Handle "2019 - Present", "Jan 2020 - Dec 2021", etc.
Company recognition
Normalize company names for consistent matching.
Responsibility extraction
Parse bullet points and job descriptions.
Code examples
{
"workExperiences": [
{
"title": "Senior Software Engineer",
"organization": "Google",
"location": "Mountain View, CA",
"skillsDescription": "Led development of microservices platform...",
"startMonth": 3,
"startYear": 2021,
"endMonth": null,
"endYear": null,
"isOngoing": true
}
]
}Technical Details
Work experience parsing uses NER models for company and title detection, date parsing with extensive format support, and section classification for accurate extraction.
Frequently asked questions
Related pages
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