AI APIs for HR Tech — Resume Parsing, Job Matching & Skills Data [ SharpAPI ![SharpAPI logo](https://sharpapi.com/build/assets/resources/images/logo200-C65na0V3.png) ](https://sharpapi.com/en) Open main menu Products Solutions [ Resume Parsing API ](https://sharpapi.com/en/resume-parsing-api)Convert resumes in PDF, DOCX or images into structured JSON profiles. [ Resume Job Match Score ](https://sharpapi.com/en/resume-job-match-score-api)Score any resume against a job description across a dozen dimensions. [ Invoice Parsing API ](https://sharpapi.com/en/invoice-parsing-api)OCR and AI extraction of invoice data into clean, structured JSON. [ Translation API ](https://sharpapi.com/en/translation-api)Structured JSON translation for applications across 80+ languages. [ AI for HR Tech ](https://sharpapi.com/en/solutions/hr-tech)The full hiring pipeline: parse, match, skills data and job descriptions. [ AI for E-commerce ](https://sharpapi.com/en/solutions/ecommerce)Product content, categorization, sentiment and post-purchase emails. [ Skills Taxonomy API ](https://sharpapi.com/en/skills-taxonomy-api)Related skills, job titles and a queryable skills database. [ Custom Workflows ](https://sharpapi.com/en/custom-workflows)Turn any AI prompt into your own production REST API endpoint. 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Resume parsing that handles PDF, DOC, DOCX and TXT layouts Explainable resume-to-job match scores for automated ranking Skills & Job Positions databases as ready-made taxonomy lookups [ Try Resume Parsing Live ](#demo) [ Start Free Trial → ](https://sharpapi.com/register) candidate-screening-pipeline 1 Parse Resume `POST /hr/parse_resume` `{ candidate, experience[], skills[] }` 2 Match Score `POST /hr/resume_job_match_score` `{ match_scores, explanation }` 3 Expand Skills `POST /hr/related_skills` `{ related_skills[] + weights }` 4 Job Description `POST /hr/job_description` `{ requirements[], benefits[] }` 1. [ Home ](https://sharpapi.com/en) 2. [AI APIs for HR Tech](https://sharpapi.com/en/solutions/hr-tech) Parse a Resume Right Now -------------------------- Pick a sample resume and watch the parser return the structured JSON your ATS would consume. Parse Resume/CV File Resume/CV Job Match Score Related Skills Related Job Positions Generate Job Description ### Try it live — no signup needed Live demo Pick a sample document and watch this API process it in real time. Website Backend developer resume (PDF) Marketing manager resume (PDF) Demo runs on bundled sample documents. Want to test your own files? [Start a free trial](https://sharpapi.com/register) Parameters Output language English Spanish German French Polish Italian Portuguese Dutch Chinese Japanese Arabic Run this API Processing… ``` ``` That was a live API response. Get your own API key and 100,000 free trial words — no credit card required. [ Start free trial ](https://sharpapi.com/register) Try again Not ready yet? Get a monthly email with new endpoints, live demos and API automation recipes. Send me demos Double opt-in, unsubscribe anytime. ### Try it live — no signup needed Live demo Pick a sample resume, paste a job description and watch the AI score the match. Website Backend developer resume (PDF) Marketing manager resume (PDF) Demo runs on bundled sample documents. Want to test your own files? [Start a free trial](https://sharpapi.com/register) Parameters Output language English Spanish German French Polish Italian Portuguese Dutch Chinese Japanese Arabic Run this API Processing… Load example ``` ``` That was a live API response. Get your own API key and 100,000 free trial words — no credit card required. [ Start free trial ](https://sharpapi.com/register) Try again Not ready yet? Get a monthly email with new endpoints, live demos and API automation recipes. Send me demos Double opt-in, unsubscribe anytime. ### Try it live — no signup needed Live demo Paste a short text and watch this API process it in real time. Website Parameters Output language English Spanish German French Polish Italian Portuguese Dutch Chinese Japanese Arabic Max results Voice tone Extra context Run this API Processing… Load example ``` ``` That was a live API response. Get your own API key and 100,000 free trial words — no credit card required. [ Start free trial ](https://sharpapi.com/register) Try again Not ready yet? Get a monthly email with new endpoints, live demos and API automation recipes. Send me demos Double opt-in, unsubscribe anytime. ### Try it live — no signup needed Live demo Paste a short text and watch this API process it in real time. Website Parameters Output language English Spanish German French Polish Italian Portuguese Dutch Chinese Japanese Arabic Max results Voice tone Extra context Run this API Processing… Load example ``` ``` That was a live API response. Get your own API key and 100,000 free trial words — no credit card required. [ Start free trial ](https://sharpapi.com/register) Try again Not ready yet? Get a monthly email with new endpoints, live demos and API automation recipes. Send me demos Double opt-in, unsubscribe anytime. ### Try it live — no signup needed Live demo Paste a short text and watch this API process it in real time. Website Parameters Company name Employment type Country Remote-friendly Visa sponsorship Output language English Spanish German French Polish Italian Portuguese Dutch Chinese Japanese Arabic Voice tone Run this API Processing… Load example ``` ``` That was a live API response. Get your own API key and 100,000 free trial words — no credit card required. [ Start free trial ](https://sharpapi.com/register) Try again Not ready yet? Get a monthly email with new endpoints, live demos and API automation recipes. Send me demos Double opt-in, unsubscribe anytime. One Async Workflow for Every Endpoint --------------------------------------- Integrate the pattern once and every HR endpoint works the same way. ### 1. Submit POST a resume file or text payload. The API immediately returns a job ID and a status\_url — no blocking requests in your web workers. ### 2. Poll Poll the status\_url or let an SDK handle it. Jobs run asynchronously in a processing queue, typically finishing in seconds. ### 3. Consume JSON Get a documented, stable JSON schema per endpoint — candidate profiles, match scores or skill lists ready for your database. Call it from any stack ---------------------- Submit a job, poll the status URL, get structured JSON. SDKs available for PHP, Laravel, Python, Node.js, .NET and Flutter. cURL PHP Python Response ``` curl -X POST "https://sharpapi.com/api/v1/hr/parse_resume" \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{"file": "resume.pdf (multipart/form-data — PDF, DOC, DOCX or TXT)", "language": "English"}' ``` ``` $response = Http::withToken('YOUR_API_KEY') ->post('https://sharpapi.com/api/v1/hr/parse_resume', {"file": "resume.pdf (multipart/form-data — PDF, DOC, DOCX or TXT)", "language": "English"}); $statusUrl = $response->json('status_url'); // poll until status = success ``` ``` import requests response = requests.post( "https://sharpapi.com/api/v1/hr/parse_resume", headers={"Authorization": "Bearer YOUR_API_KEY"}, json={"file": "resume.pdf (multipart/form-data — PDF, DOC, DOCX or TXT)", "language": "English"}, ) status_url = response.json()["status_url"] # poll until status == "success" ``` ``` { "data": { "type": "api_job_result", "id": "50fa96a0-3e34-4323-be84-6ed602b00925", "attributes": { "status": "success", "type": "hr_parse_resume", "result": { "candidate_name": "Jack Doe", "candidate_email": "johndoe@gmail.com", "candidate_phone": "+1 888 888 8888", "candidate_address": "", "candidate_language": "English", "candidate_spoken_languages": [ "English" ], "candidate_honors_and_awards": [ "Third best project in Machine Learning Practical by IBM" ], "candidate_courses_and_certifications": [], "candidate_linkedin": "", "candidate_github": "", "candidate_twitter": "", "candidate_website": "", "candidate_date_of_birth": null, "candidate_nationality": "", "candidate_summary_objective": "", "work_authorization": "", "years_of_experience": 2, "approximate_age": null, "brief_summary": "John Doe is a skilled software engineer with experience in Android development and a strong academic background in artificial intelligence and computer science.", "drivers_licenses": [], "interests_hobbies": [], "projects": [ { "project_name": "Image Classification", "description": "Classified images of handwritten digits and letters from the MNIST and EMNIST datasets using deep neural networks. Implemented models with different activation functions, weight initialization strategies, and learning rules.", "url": "" }, { "project_name": "Speaker Independent Digit Recognition", "description": "Recorded voiced English digits and parameterized the collected waveform files as MFCCs. Constructed a speaker-dependent, and -independent speech recognizer using the Hidden Markov Model Toolkit (HTK).", "url": "" } ], "volunteer_experience": [], "publications": [], "references": [], "positions": [ { "position_name": "Software Engineer Internship", "company_name": "Google Inc.", "country": "Japan", "start_date": "2017-05-01", "end_date": "2017-07-31", "skills": [ "Android", "Google Maps", "Interactive screenshot code generator" ], "job_details": "Designed and implemented an interactive screenshot code generator for Android Google Maps." }, { "position_name": "Visiting Student Research Internship", "company_name": "Brown University", "country": "USA", "start_date": "2017-01-01", "end_date": "2017-04-30", "skills": [ "Statistical analysis", "User interactions", "Crowdsourcing system" ], "job_details": "Performed statistical analysis on user interactions for the crowdsourcing system 'Drafty' HCOMP 2017. Advisor: Jeff Huang." }, { "position_name": "Software Engineer Internship", "company_name": "Google Inc.", "country": "Japan", "start_date": "2016-09-01", "end_date": "2016-12-31", "skills": [ "Android", "Chrome", "WebView", "Language locales", "Han character unification" ], "job_details": "Created support for multiple language locales in Android Chrome and WebView. Fixed Han character unification in Android Nougat. Made locales consistent across all Chrome supported Android Versions." }, { "position_name": "Summer Trainee Engineering Program Internship", "company_name": "Google Inc.", "country": "Japan", "start_date": "2015-05-01", "end_date": "2015-09-30", "skills": [ "Bug assignment system", "Google's internal bug organizer" ], "job_details": "Improved the bug assignment system in Google’s internal bug organizer." } ], "education_qualifications": [ { "school_name": "The University of Edinburgh, School of Informatics", "school_type": "University or equivalent", "degree_type": "Master's Degree or equivalent", "faculty_department": "", "specialization_subjects": "Artificial Intelligence", "country": "United Kingdom", "start_date": "2017-09-01", "end_date": "2018-11-30", "learning_mode": "In-person learning", "education_details": "Master of Science with Distinction in Artificial Intelligence." }, { "school_name": "University of Toronto, Faculty of Arts and Sciences", "school_type": "University or equivalent", "degree_type": "Bachelor's Degree or equivalent", "faculty_department": "", "specialization_subjects": "Computer Science and Mathematics", "country": "Canada", "start_date": "2012-08-01", "end_date": "2016-06-30", "learning_mode": "In-person learning", "education_details": "Honors Bachelor of Science with Distinction in Computer Science and Mathematics." }, { "school_name": "Waseda University, School of Fundamental Science and Engineering", "school_type": "University or equivalent", "degree_type": "N/A", "faculty_department": "", "specialization_subjects": "", "country": "Japan", "start_date": "2014-08-01", "end_date": "2015-07-31", "learning_mode": "In-person learning", "education_details": "One year Exchange Program (University of Toronto)." } ] } } } } ``` [Full API documentation »](https://documenter.getpostman.com/view/31106842/2s9Ye8faUp#c6c6b4cf-0b41-48dc-bfae-110f85a32f4a) The Complete HR Tech Endpoint Suite ------------------------------------- AI endpoints for the candidate pipeline plus utility databases for skills and job title taxonomies. ### Resume/CV Parsing Parses a resume file (DOC, DOCX, TXT, RTF, PDF, JPG, JPEG, JPE, PNG, TIFF, TIF) and returns detailed data points. [ Endpoint details → ](https://sharpapi.com/en/catalog/ai/hr-tech/resume-cv-parsing) [ Resume Parsing API deep dive → ](https://sharpapi.com/en/resume-parsing-api) ### Resume/CV Job Match Score Smart AI scoring for CV-to-job compatibility [ Endpoint details → ](https://sharpapi.com/en/catalog/ai/hr-tech/resume-cv-job-match-score) [ Job Match Score API deep dive → ](https://sharpapi.com/en/resume-job-match-score-api) ### Job Description Generator Creates a detailed job description tailored to a wide range of parameters. [ Endpoint details → ](https://sharpapi.com/en/catalog/ai/hr-tech/job-description-generator) ### Related Skills Generator Generates a list of related skills with their corresponding relevance scores. [ Endpoint details → ](https://sharpapi.com/en/catalog/ai/hr-tech/related-skills-generator) ### Related Job Positions Generator Generates a list of related job positions along with their relevance scores. [ Endpoint details → ](https://sharpapi.com/en/catalog/ai/hr-tech/related-job-positions-generator) ### Skills Database API Utility API: query a curated database of professional skills for autocomplete, normalization and taxonomy features. [ Endpoint details → ](https://sharpapi.com/en/catalog/utility/skills-database-api) ### Job Positions API Utility API: look up standardized job titles to power search filters, role suggestions and clean position data. [ Endpoint details → ](https://sharpapi.com/en/catalog/utility/job-positions-api) What HR Platforms Build with SharpAPI --------------------------------------- ### ATS Resume Intake Turn every uploaded resume into a searchable candidate profile the moment it lands — no manual data entry. resume.pdf → { candidate profile } ### Automated Candidate Ranking Score each applicant against the job description and surface the strongest matches first for recruiters. resume + job_offer → match % ### Job Board Posting Tools Give employers a one-click job description generator with requirements and benefits drafted by AI. position name → full posting ### Skills-Based Search Expand queries with related skills so a search for "React" also finds candidates listing "Next.js". skill → related_skills[] ### Career Path Suggestions Recommend adjacent roles to candidates using the Related Job Positions endpoint and weighted results. position → related_positions[] ### Profile Autocomplete Back your onboarding forms with the Skills and Job Positions databases for clean, normalized inputs. ski… → Skills DB suggestions Why HR Tech Vendors Choose SharpAPI ------------------------------------- ### Layout-Agnostic Parsing One JSON schema for every resume template — two-column designs, tables and scanned exports included. ### Explainable Match Scores Match results ship with reasoning, so recruiters see why a candidate ranked high — not just a number. ### Taxonomy Databases Included Skills and Job Positions utility APIs replace expensive enterprise taxonomy licenses. ### Multilingual Pipeline Parse resumes and generate job content in the language your market needs — 80+ supported. ### Async & Batch-Friendly The job/poll workflow processes thousands of resumes overnight without tying up your servers. ### SOC 2 Type II Certified Candidate documents are handled under an audited security program — a hard requirement for HR data. Predictable pricing from $50/month 14-day free trial with 100,000 words included. No credit card required. 30-day money-back guarantee on your first payment. [ Start free trial ](https://sharpapi.com/register) [ See pricing ](https://sharpapi.com/en/pricing) HR Tech APIs — Frequently Asked Questions ------------------------------------------- Which HR Tech endpoints does SharpAPI offer? The HR suite covers the full candidate pipeline: Resume/CV Parsing to structured JSON, Resume-to-Job Match Scoring, Related Skills and Related Job Positions generators, and an AI Job Description Generator. Two utility databases — Skills Database API and Job Positions API — complement them with taxonomy lookups. What file formats does the resume parser accept? The Resume/CV Parsing API accepts PDF, DOC, DOCX and TXT files sent as multipart/form-data. It returns one consistent JSON structure with personal details, work history, education, skills, languages and certifications — regardless of the resume layout. How does the Resume-to-Job Match Score work? You submit a candidate resume file together with a job description text. The API returns a structured match score with an explanation, so your ATS can rank applicants automatically instead of relying on keyword filters. Can I combine the endpoints into one screening pipeline? Yes — that is the intended design. Parse the resume first, score it against your job description, expand candidate skills with the Related Skills endpoint for better search, and generate the job posting itself with the Job Description Generator. All endpoints share the same auth, job workflow and JSON conventions. Is candidate data safe with SharpAPI? Processing is API-based and asynchronous; submitted documents are used only to produce your job result. SharpAPI is SOC 2 Type II certified — see the trust portal for the current security posture and policies. How much does the HR Tech API suite cost? All endpoints share one subscription starting at $50/month, metered in processed words. New accounts get a 14-day free trial with 100,000 words — enough to benchmark parsing quality on your own resumes. Explore More SharpAPI ----------------------- [ Skills Taxonomy API →Related skills, job titles and a queryable skills database. ](https://sharpapi.com/en/skills-taxonomy-api) [ HR Tech API Catalog →Browse every recruitment and candidate-evaluation endpoint. ](https://sharpapi.com/en/catalog/ai/hr-tech) [ Translation API →Translate resumes and job postings across 80+ languages. ](https://sharpapi.com/en/translation-api) Add AI to Your HR Product This Week ------------------------------------- Start the 14-day free trial and benchmark resume parsing on your own documents — 100,000 words included. 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