CV / Resume Parsing API

About CV / Resume Parsing API

Resume Parser extracts candidate details from CV files and returns them as structured data through an asynchronous job process. A client submits a PDF, DOC, DOCX, TXT, or RTF file (optionally specifying the resume's language), receives a job ID and status URL, then polls the status endpoint until the job completes and the parsed result is available.

The parsed output includes candidate-level fields such as name, email, phone, address, language, spoken languages, honors and awards, and courses and certifications. Work history is returned as a list of positions with company name, position name, start and end dates, country, job details, and skills. Education is returned as a list of qualifications with school name, degree type, school type, learning mode, faculty/department, specialization subjects, education details, country, and start and end dates.

The API is suited for applications that need unstructured resume content converted into machine-readable fields, such as ATS intake, candidate profile enrichment, internal talent search, and document triage. It is published by SharpAPI and consists of two endpoints: one to submit a parsing job (POST) and one to check job status and retrieve results (GET).

Key features

• Extracts candidate details (name, email, phone, address, languages, honors, certifications) from resumes
• Parses work history into structured positions with company, role, dates, and skills
• Parses education into structured qualifications like school, degree type, and dates
• Accepts PDF, DOC, DOCX, TXT, or RTF resume file uploads
• Runs as an asynchronous job: submit a file, then poll a status endpoint for results
• Optional language parameter to specify the resume's language, defaulting to English

Frequently asked questions