The Resume Parser API is a powerful tool designed to effortlessly extract essential information from resumes. With cutting-edge LLMs, it accurately parses resumes in various formats (like PDF, DOC, DOCX and TXT), swiftly extracting key details such as Name, Email, Contact, Location, Website and Social Media URLs, Years of Experience, Work Experience Details, Certifications and Education Details, Soft and Operational Skills, Languages Spoken and more. The API integrates seamlessly into your applications, streamlining the recruitment process, saving time and ensuring precision in candidate evaluation.
The Resume Parser API can take resume in PDF, DOC, DOCX and TXT format and return a JSON output
Applicant Tracking Systems (ATS): Resume parsing is frequently used in ATS to automatically extract and organize information from resumes, making it easier for recruiters and hiring managers to review and compare candidate profiles.
Recruitment Portals: Job boards and recruitment websites leverage resume parsing to help users upload their resumes easily and populate application forms with accurate data, improving the overall user experience.
Automated Candidate Screening: Resume parsing aids in automating the initial stages of candidate screening by extracting relevant details such as skills, education, and experience, enabling recruiters to quickly filter and shortlist candidates.
HR Workflows: Within HR processes, resume parsing facilitates the integration of resume data into various HR software and databases, ensuring seamless record-keeping and simplifying the overall talent management workflow.
Customized Search and Matching: Resume parsing allows for efficient searching and matching of candidates based on specific criteria, helping recruiters identify the most suitable candidates for a particular role.
Skill Gap Analysis: By parsing resumes for skills and qualifications, organizations can perform skill gap analyses to understand the strengths and weaknesses of their current workforce and make informed decisions regarding training and development.
Compliance and Reporting: Resume parsing aids in maintaining compliance with hiring regulations and standards by ensuring that necessary information, such as equal opportunity data, is accurately extracted and recorded.
Workflow Automation: Integrating resume parsing into workflow processes enables the automation of repetitive tasks, reducing manual effort and improving efficiency in handling large volumes of resumes.
Career Development Platforms: Platforms offering career development and coaching services use resume parsing to analyze users' resumes, providing personalized feedback, and suggesting improvements to enhance their professional profiles.
Talent Analytics: Resume parsing contributes to talent analytics by providing insights into trends related to candidate qualifications, experience, and skills, enabling data-driven decision-making in talent acquisition strategies.
Below is a sample API response in JSON format -
{
"parsed_resume": {
"candidate_name": [
"JOHN DOE"
],
"candidate_email": [
"[email protected]"
],
"phonenumber": [
"+353 87 9995555"
],
"candidate_location": [
"1 MAIN STREET TOWN POSTCODE IRELAND"
],
"education": [
{
"education_level": "Master of Business Studies in Accounting",
"education_specialization": "Accounting",
"education_school": "University Dublin, Ireland",
"education_period_start": "2006",
"education_period_end": "2007",
"education_location": "Dublin, Ireland"
},
{
"education_level": "Bachelor of Arts in Accounting and Finance",
"education_specialization": "Accounting and Finance",
"education_school": "University Dublin, Ireland",
"education_period_start": "2003",
"education_period_end": "2006",
"education_location": "Dublin, Ireland"
}
],
"experience": [
{
"experienceOrg": "Big Four Firm",
"job_title": "Executive, Transactions Advisory",
"startYear": "2011",
"endYear": "Present",
"job_location": "Dublin, Ireland"
},
{
"experienceOrg": "Big Six Firm",
"job_title": "Associate, Assurance & Advisory",
"startYear": "2007",
"endYear": "2011",
"job_location": "Dublin, Ireland"
},
{
"experienceOrg": "Big Six Firm",
"job_title": "Intern, Assurance & Advisory",
"startYear": "2006",
"endYear": "2006",
"job_location": "Dublin, Ireland"
}
],
"certifications": [
"CFA Institute Charter pending",
"Chartered Accountants Ireland Associate Member (ACA)"
],
"candidate_skills": {
"operational_skills": [
"MS Office",
"Bloomberg",
"Thomson One"
]
},
"languages_spoken": [
"English (Native)",
"French (Basic)"
],
"visa": [
"Entitled to initial 12-month USA work visa"
]
}
}
This endpoint will parse the given resume file and return the components in a JSON structure
resumeparse - Endpoint Features
Object | Description |
---|---|
Request Body |
[Required] File Binary |
{
"parsed_resume": {
"candidate_name": [
"JOHN DOE"
],
"candidate_email": [
"[email protected]"
],
"phonenumber": [
"+353 87 9995555"
],
"candidate_location": [
"1 MAIN STREET TOWN POSTCODE IRELAND"
],
"education": [
{
"education_level": "Master of Business Studies in Accounting",
"education_specialization": "Accounting",
"education_school": "University Dublin, Ireland",
"education_period_start": "2006",
"education_period_end": "2007",
"education_location": "Dublin, Ireland"
},
{
"education_level": "Bachelor of Arts in Accounting and Finance",
"education_specialization": "Accounting and Finance",
"education_school": "University Dublin, Ireland",
"education_period_start": "2003",
"education_period_end": "2006",
"education_location": "Dublin, Ireland"
}
],
"experience": [
{
"experienceOrg": "Big Four Firm",
"job_title": "Executive, Transactions Advisory",
"startYear": "2011",
"endYear": "Present",
"job_location": "Dublin, Ireland"
},
{
"experienceOrg": "Big Six Firm",
"job_title": "Associate, Assurance & Advisory",
"startYear": "2007",
"endYear": "2011",
"job_location": "Dublin, Ireland"
},
{
"experienceOrg": "Big Six Firm",
"job_title": "Intern, Assurance & Advisory",
"startYear": "2006",
"endYear": "2006",
"job_location": "Dublin, Ireland"
}
],
"certifications": [
"CFA Institute Charter pending",
"Chartered Accountants Ireland Associate Member (ACA)"
],
"candidate_skills": {
"operational_skills": [
"MS Office",
"Bloomberg",
"Thomson One"
]
},
"languages_spoken": [
"English (Native)",
"French (Basic)"
],
"visa": [
"Entitled to initial 12-month USA work visa"
]
}
}
curl --location 'https://zylalabs.com/api/2910/resume+parser+api/3036/resumeparse' \
--header 'Content-Type: multipart/form-data' \
--form 'image=@"FILE_PATH"'
Header | Description |
---|---|
Authorization
|
[Required] Should be Bearer access_key . See "Your API Access Key" above when you are subscribed. |
No long term commitments. One click upgrade/downgrade or cancellation. No questions asked.
The latency is a bit high at the moment, in the range of 20β30 secs. It uses the latest OpenAI model internally, and it is known to be a bit slower. We are continuously working towards improving the latency.
The Resume Parser API does not store, sell, or train on input resumes. However, we use OpenAI models in the backend. Kindly check the OpenAI data privacy page - https://openai.com/enterprise-privacy before subscribing.
No, currently we do not support images or image based PDF files. The supported file formats are PDF, TXT, DOC and DOCX.
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