Resume Parser + Job Match — CV to JSON with 0-100 score
Pricing
from $5.00 / 1,000 resume parseds
Parse resumes and CVs (PDF, DOCX or text) into structured JSON: contact, job titles, work history, education, skills. Optionally score each one 0-100 against a job posting with a breakdown. No LLM; resume content is never logged. $0.005 per resume.
One item per resume: {"text": "..."} for plain text, or {"url": "https://..."} for a PDF, DOCX or TXT file (max 5 MB, text-based: no OCR). Optional "id" is copied to the output. A bare string also works (a URL or resume text). Up to 500 per run; charged per resume parsed, empty or unreadable ones are skipped and not charged.
[ { "id": "candidate-001", "text": "Alex Morgan\nSenior Backend Engineer\nalex.morgan@example.com | +1 555 0100 | Austin, TX, USA\n\nSUMMARY\nBackend engineer with nine years of experience building APIs and data pipelines in Python on AWS.\n\nEXPERIENCE\nSenior Backend Engineer, Acme Analytics\nJan 2021 - Present\n- Built Python and Django services on AWS, PostgreSQL and Redis\n- Moved deployments to Docker and Kubernetes\n\nSoftware Engineer, Contoso Labs\nJun 2017 - Dec 2020\n- Developed REST APIs in Python and Flask\n- Wrote data pipelines with SQL and Airflow\n\nEDUCATION\nBSc Computer Science, Example State University, 2013 - 2017\n\nSKILLS\nPython, Django, Flask, PostgreSQL, Redis, AWS, Docker, Kubernetes, SQL, Airflow" }, { "id": "candidate-002", "text": "Sam Taylor\nMarketing Coordinator\nsam.taylor@example.com | London, UK\n\nEXPERIENCE\nMarketing Coordinator, Northwind Retail\nSep 2022 - Present\n- Ran email campaigns in HubSpot and reported results in Google Analytics\n- Managed social media calendars\n\nEDUCATION\nBA Marketing, Example University, 2019 - 2022\n\nSKILLS\nHubSpot, Google Analytics, SEO, Copywriting" }]Title of the job to score every resume against. Leave job fields empty to parse only.
Job posting text or HTML. Required skills and years of experience are read from it.
Location or remote policy as written in the posting, e.g. 'Remote - US' or 'London'. Used to check location eligibility.