Legacy version of Resume Parser
The following applies to Affinda's legacy resume parser.
See Getting Started with the NextGen Resume Parser for more information on our latest version
Data extracted
| Category | Field |
|---|---|
| Personal Details | Name (title, first, middle, last)^ Address (geocoded to a specific location and re-formatted)^ Contact Phone (including formatted number with country code)^ Email^ Websites Date of Birth Headshot |
| Work Experience | Job Title^ Employer^ Location^ Dates Employed^ Occupation Classification Management Level Job Description^ |
| Education | Institution^ Degree^ Degree Type Dates of Study^ |
| Skills | Raw skills^ Taxonomy skills - mapped to a detailed best-in-class taxonomy containing over 3,000 soft and hard skills Skill type Number of months using skills |
| Languages | Language(s) spoken Language of the resume |
| Extra-Curricular | Certificates Publications |
| Summary | Candidate summary and objective Section raw text Probability the document is a resume |
| Referee Details | Name Phone number |
^ Included in visualization within Affinda app
Schema
The following is an example data object returned for a resume in the API response:
{
"data": {
"name": {
"raw": "Tim A. Smith",
"first": "Tim",
"last": "Smith",
"middle": "A.",
"title": "Dr"
},
"phoneNumbers": [
"(704) 996-9966",
"+61412632636"
],
"websites": [
"www.timsmith.com"
],
"emails": [
"[email protected]"
],
"dateOfBirth": "1992-01-01",
"location": {
"formatted": "Blacksburg, VA, USA",
"postalCode": "3124",
"state": "Virginia",
"country": "United States",
"countryCode": "US",
"rawInput": "Blacksburg, VA",
"streetNumber": "1",
"street": "Smith St",
"apartmentNumber": "12",
"city": "Blacksburg",
"latitude": "67.0124",
"longitude": "67.0124"
},
"objective": "",
"languages": [
"English",
"French",
"Arabic"
],
"languageCodes": [
"en",
"fr",
"ar"
],
"summary": "",
"totalYearsExperience": 13,
"headShot": "string",
"education": [
{
"id": 0,
"organization": "Virginia Polytechnic Institute and State University (Virginia Tech)",
"accreditation": {
"education": "Bachelor of Science",
"inputStr": "Bachelor of Science, Mechanical Engineering, expected",
"matchStr": "Bachelor of Science",
"educationLevel": "bachelors"
},
"grade": {
"raw": "GPA : 3.35",
"metric": "GPA",
"value": "3.35",
"additionalProp": {}
},
"location": {
"formatted": "Blacksburg, VA, USA",
"postalCode": "3124",
"state": "Virginia",
"country": "United States",
"countryCode": "US",
"rawInput": "Blacksburg, VA",
"streetNumber": "1",
"street": "Smith St",
"apartmentNumber": "12",
"city": "Blacksburg",
"latitude": "67.0124",
"longitude": "67.0124"
},
"dates": {
"completionDate": "2021-05-01",
"isCurrent": true,
"startDate": "2019-05-01"
}
}
],
"profession": "Software Developer",
"linkedin": "https://www.linkedin.com/in/user-name",
"workExperience": [
{
"id": 0,
"jobTitle": "Sales and retail assistants",
"socCode": "7111",
"socName": "Sales and retail assistants",
"organization": "General Motors",
"industry": "Automotive",
"location": {
"formatted": "Blacksburg, VA, USA",
"postalCode": "3124",
"state": "Virginia",
"country": "United States",
"countryCode": "US",
"rawInput": "Blacksburg, VA",
"streetNumber": "1",
"street": "Smith St",
"apartmentNumber": "12",
"city": "Blacksburg",
"latitude": "67.0124",
"longitude": "67.0124"
},
"jobDescription": "Interned with supercar Development from May 2017 to August 2017.",
"dates": {
"startDate": "2018-05-01",
"endDate": "2018-08-01",
"monthsInPosition": 0,
"isCurrent": true
},
"occupation": {
"jobTitle": "Sr. Software Developer",
"jobTitleNormalized": "Software Developer",
"managementLevel": "Low",
"classification": {
"title": "Book-keepers, payroll managers and wages clerks",
"minorGroup": "Administrative Occupations: Finance",
"subMajorGroup": "ADMINISTRATIVE OCCUPATIONS",
"majorGroup": "ADMINISTRATIVE AND SECRETARIAL OCCUPATIONS",
"socCode": 4122
}
}
}
],
"skills": [
{
"id": 0,
"emsiId": "KS1218W78FGVPVP2KXPX",
"name": "Applied Mechanics",
"lastUsed": "2012-01-01",
"numberOfMonths": 12,
"type": "hard_skill",
"count": 133342916,
"weighting": 0.057699221573302296,
"sources": [
{
"section": "WorkExperience",
"position": 0,
"workExperienceId": 1234
}
]
}
],
"certifications": [
"Certificate in AWS"
],
"publications": [
"Tim Smith et al., Investigations of nanoparticles in the pathology of the human eye, Cell 2014"
],
"referees": [
{
"name": "Stephen Smith",
"text": "Stephen Smith, Team Member/Mentor, Company Power Generation: [email protected]",
"email": "[email protected]",
"number": "+61490667215",
"position": "Principal",
"additionalProp": {}
}
],
"sections": [
{
"sectionType": "PersonalDetails",
"bbox": [
0,
36.392,
612,
111.056
],
"pageIndex": 0,
"text": "<All text from the {sectionType} section>"
}
],
"isResumeProbability": 98,
"rawText": "Christopher Nolan 3210 fake street '... <rest of resume text>'",
"redactedText": "**** Objective: To obtain a job '... <rest of resume text>'",
"additionalProp": "string"
}
}
HR-XML
The data that Affinda extracts from resumes can be exported in HR-XML.
By default, our resume parser will return the data that our AI model has extracted in Affinda's own standard schema. However, users can specify that they wish to return data in HR-XML format when using the Upload a document for parsing endpoint.
Adding and Updating Candidates Directly
See Adding and Updating Candidates Directly for information about adding a candidate directly to Affinda so that it can be used to index and search for the candidate in our Search and Match solution.
Updated 5 days ago