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[ Home ](https://sharpapi.com/en) 2. [APIs Catalog](https://sharpapi.com/en/catalog) 3. [HR Tech](https://sharpapi.com/en/catalog/ai/hr-tech) 4. [Resume/CV Parsing](https://sharpapi.com/en/catalog/ai/hr-tech/resume-cv-parsing) [ HR Tech ](https://sharpapi.com/en/catalog/ai/hr-tech) AI-powered API Resume/CV Parsing =================== Parses a resume file (DOC, DOCX, TXT, RTF, PDF, JPG, JPEG, JPE, PNG, TIFF, TIF) and returns detailed data points. ------------------------------------------------------------------------------------------------------------------- Effortlessly scrape CVs and extract comprehensive candidate data with our advanced AI resume scraper. Simply upload a document, and our Parse PDF Resume API will return detailed candidate information to streamline your hiring workflow. Supported resume files - **11 file formats**: **DOC, DOCX, TXT, RTF, PDF, JPG, JPEG, JPE, PNG, TIFF, TIF** And yes - it handles those **flattened PDFs** where the entire resume is just images instead of text. This endpoint is essential for extracting detailed information from resumes, and supporting various HR and recruitment applications. It also detects and processes images embedded inside PDF files (scanned documents, photos, etc.). This API is ideal for developers building HR platforms, recruitment software, or applicant tracking systems. It automates the extraction of relevant data from resumes, ensuring accuracy and efficiency in candidate processing. Use cases include resume data extraction for applicant tracking systems, automated candidate profiling, and enhanced recruitment workflows. The file has to be uploaded as `form-data` parameter called `file`. An optional language parameter can also be provided (`English` value is set as the default one) . ### AI jobs involve two key steps: 1. **Submitting the AI job:** Initiating the process by sending the job request. 2. **Monitoring and receiving results:** Continuously checking the job status and obtaining the final output upon successful completion. --- ### Related SDKs/Libraries - Laravel [ Resume Parser/CV Parser for Laravel ](https://github.com/sharpapi/laravel-resume-parser) - PHP [ Resume/CV Parser for PHP 8 ](https://github.com/sharpapi/php-resume-parser) - Node.js [ Resume/CV Parser for Node.js ](https://www.npmjs.com/package/@sharpapi/sharpapi-node-parse-resume) --- ![Resume/CV Parsing](https://sharpapi.com/storage/238/conversions/HR---Resume-CV-Parsing-(AI)-full_size.jpg) [ Check API Details Documentation Check API Details Documentation ](https://documenter.getpostman.com/view/31106842/2s9Ye8faUp#c6c6b4cf-0b41-48dc-bfae-110f85a32f4a) [ ![SharpAPI SOC 2 Type II](https://sharpapi.com/build/assets/resources/images/a2zweb-soc2-Cb6pM2no.png) ](https://trust.a2zweb.co/) SharpAPI is now SOC 2 Type II compliant. You can check details at our [ Trust Center Portal. ](https://trust.a2zweb.co/) Your data is your data. Learn how we protect it and comply with global privacy standards in our [ Data Handling and Compliance policy ](https://sharpapi.com/data-handling-and-compliance). Step 1. Submit the AI Job request --------------------------------- **Endpoint:** `Post - /api/v1/hr/parse_resume` **REQUEST EXAMPLE:** ``` curl --location 'https://sharpapi.com/api/v1/hr/parse_resume' \ --header 'Accept: application/json' \ -H "Authorization: Bearer YOUR_API_TOKEN" \ --form 'file=@"Resume.pdf"' \ --form 'language="English"' ``` \-- **RESPONSE EXAMPLE:** ``` { "status_url": "https://sharpapi.com/api/v1/content/translate/job/status/5de4887a-0dfd-49b6-8edb-9280e468c210", "job_id": "5de4887a-0dfd-49b6-8edb-9280e468c210" } ``` --- Step 2. Monitor & Fetch AI Job Results ------------------------------------------ **Endpoint:** `GET - /v1/hr/parse_resume/job/status/:uuid` An endpoint is used to check on the progress of the requested API job. **RESULT EXAMPLE:** ``` { "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)." } ] } } } } ``` ### Valid Attribute Values within `education_qualifications` #### `learning_mode` The only possible values for the `learning_mode` attribute within the `education_qualifications` list are as follows. These values will always be in **English**: - `In-person learning` - `Online/remote learning` - `Hybrid` - `Trainee programme` #### `degree_type` The only possible values for the `degree_type` attribute within the `education_qualifications` list are as follows. These values will always be in **English**: - `Doctorate/PhD or equivalent` - `Master’s Degree or equivalent` - `Bachelor’s Degree or equivalent, Diploma or equivalent` - `High School/Secondary School Diploma or equivalent` - `Professional Certificate or equivalent` - `N/A` --- **Related topics:** AI Resume parsing, scrape CV, AI resume scraper, AI resume parser, Parse PDF resume API, Free Resume Parsing API, Parse PDF resume API - Related Keywords: - [ HR Tech ](https://sharpapi.com/en/tag/hr-tech) - [ Resume Parsing ](https://sharpapi.com/en/tag/resume-parsing) - [ CV Parsing ](https://sharpapi.com/en/tag/cv-parsing) - [ HR API ](https://sharpapi.com/en/tag/hr-api) - [ AI Resume Parser ](https://sharpapi.com/en/tag/ai-resume-parser) - [ AI CV Parser ](https://sharpapi.com/en/tag/ai-cv-parser) - [ AI Resume Parsing ](https://sharpapi.com/en/tag/ai-resume-parsing) - [ AI CV Parsing ](https://sharpapi.com/en/tag/ai-cv-parsing) - [ Extraction ](https://sharpapi.com/en/tag/extraction) - [ Resume ](https://sharpapi.com/en/tag/resume) - [ CV ](https://sharpapi.com/en/tag/cv) - [ Recruitment ](https://sharpapi.com/en/tag/recruitment) ### Other HR Tech APIs - [ Job Description Generator ](https://sharpapi.com/en/catalog/ai/hr-tech/job-description-generator) - [ Related Job Positions Generator ](https://sharpapi.com/en/catalog/ai/hr-tech/related-job-positions-generator) - [ Related Skills Generator ](https://sharpapi.com/en/catalog/ai/hr-tech/related-skills-generator) - [ Resume/CV Job Match Score ](https://sharpapi.com/en/catalog/ai/hr-tech/resume-cv-job-match-score) ### Accelerate integration with our official [SDK client packages](https://github.com/sharpapi/): [ NodeJS SDK ](https://github.com/sharpapi/sharpapi-node-client) [ ](https://github.com/sharpapi/sharpapi-node-client) [ Python SDK ](https://github.com/sharpapi/sharpapi-python-client) [ ](https://github.com/sharpapi/sharpapi-python-client) [ PHP SDK ](https://github.com/orgs/sharpapi/repositories?q=php) [ ](https://github.com/orgs/sharpapi/repositories?q=php) [ Laravel SDK ](https://github.com/orgs/sharpapi/repositories?q=laravel) [ ](https://github.com/orgs/sharpapi/repositories?q=laravel) [ .NET SDK ](https://www.nuget.org/packages/SharpApi.Service) [ .NET ](https://www.nuget.org/packages/SharpApi.Service) [ Flutter SDK ](https://pub.dev/packages/sharpapi_flutter_client) [ ](https://pub.dev/packages/sharpapi_flutter_client) Discover our complete [AI-Powered Automation Toolkit](https://sharpapi.com/en/toolkit) [ ![SharpAPI Introduction Video](https://sharpapi.com/storage/1248/conversions/logo500-square-white-preview.jpg) ](https://sharpapi.com/en/blog/post/sharpapi-introduction-video) Feb 2, 2024 [ #HR Tech ](https://sharpapi.com/en/blog/tag/hr-tech) [ #Travel ](https://sharpapi.com/en/blog/tag/travel) [ #SEO ](https://sharpapi.com/en/blog/tag/seo) ### [ SharpAPI Introduction Video ](https://sharpapi.com/en/blog/post/sharpapi-introduction-video) SharpAPI is a powerful AI-powered API, which provides a range of workflow automation endpoints to help improve efficiency across various industries. It has features for E-commerce, Content & Marketing Automation, SEO, HR Tech, and Travel & Hospitality industries. [ ![How AI-Powered APIs are Transforming Recruitment](https://sharpapi.com/storage/218/conversions/hr=apyhub-preview.jpg) ](https://sharpapi.com/en/blog/post/how-ai-powered-apis-are-transforming-recruitment-top-hr-apis-in-2024) Aug 13, 2024 [ #HR Tech ](https://sharpapi.com/en/blog/tag/hr-tech) [ #CV Parsing ](https://sharpapi.com/en/blog/tag/cv-parsing) [ #AI in Recruitment ](https://sharpapi.com/en/blog/tag/ai-in-recruitment) ### [ How AI-Powered APIs are Transforming Recruitment ](https://sharpapi.com/en/blog/post/how-ai-powered-apis-are-transforming-recruitment-top-hr-apis-in-2024) Discover the impact of AI-powered HR tech stacks on modern recruitment challenges and how top HR APIs are reshaping the hiring landscape in 2024. Enhance candidate experience, improve efficiency, and stay competitive with innovative HR technology solutions. [ ![Transforming HR Tech with AI-Powered Efficiency](https://sharpapi.com/storage/1170/conversions/austin-distel-unsplash-small-preview.jpg) ](https://sharpapi.com/en/blog/post/transforming-hr-tech-with-ai-powered-efficiency) Nov 7, 2024 [ #HR Tech ](https://sharpapi.com/en/blog/tag/hr-tech) [ #AI ](https://sharpapi.com/en/blog/tag/ai) [ #Resume Parsing ](https://sharpapi.com/en/blog/tag/resume-parsing) ### [ Transforming HR Tech with AI-Powered Efficiency ](https://sharpapi.com/en/blog/post/transforming-hr-tech-with-ai-powered-efficiency) So, you’re neck-deep in resumes and job descriptions, and your only defense against the deluge is a lukewarm cup of coffee. Enter SharpAPI. This isn’t just any old toolkit – this is a turbo-charged, HR tech hero. Here’s how each of these endpoint superheroes (cue dramatic music) can turn your hiring process from drudgery to, well, semi-automated bliss. [ ![AI-powered Resume Parser/CV Parser for Laravel](https://sharpapi.com/storage/1188/conversions/mohammad-rahmani-unsplash-300-preview.jpg) ](https://sharpapi.com/en/blog/post/ai-resume-parser-cv-parser-for-laravel) Nov 13, 2024 [ #HR Tech ](https://sharpapi.com/en/blog/tag/hr-tech) [ #Resume Parsing ](https://sharpapi.com/en/blog/tag/resume-parsing) [ #CV Parsing ](https://sharpapi.com/en/blog/tag/cv-parsing) ### [ AI-powered Resume Parser/CV Parser for Laravel ](https://sharpapi.com/en/blog/post/ai-resume-parser-cv-parser-for-laravel) Alright, so you’ve got a stack of resumes to sift through, and you're feeling that slight existential dread knowing there are only so many hours in a day. What if you could slice through all that resume clutter with an AI-powered razor that picks out the gems for you? [ ![Job Positions API: Unlock Comprehensive HR Data](https://sharpapi.com/storage/3116/conversions/markus-winkler-300-preview.jpg) ](https://sharpapi.com/en/blog/post/job-positions-api) Apr 1, 2025 [ #HR Tech ](https://sharpapi.com/en/blog/tag/hr-tech) [ #HR API ](https://sharpapi.com/en/blog/tag/hr-api) [ #HR ](https://sharpapi.com/en/blog/tag/hr) ### [ Job Positions API: Unlock Comprehensive HR Data ](https://sharpapi.com/en/blog/post/job-positions-api) Imagine having access to a vast, meticulously structured database of over 16,000 job positions across various industries—all at your fingertips. This API doesn’t just list roles; it also offers related job positions with weighted relevancy scores, making it a perfect companion for HR platforms, job boards, AI-driven career matching, and workforce analytics. [ ![Resume/CV & Job Description Match Scoring + Laravel Package](https://sharpapi.com/storage/3759/conversions/jobs-liravega-300-preview.jpg) ](https://sharpapi.com/en/blog/post/resume-cv-job-description-match-scoring-laravel-package) May 1, 2025 [ #HR Tech ](https://sharpapi.com/en/blog/tag/hr-tech) [ #CV Parsing ](https://sharpapi.com/en/blog/tag/cv-parsing) [ #AI in Recruitment ](https://sharpapi.com/en/blog/tag/ai-in-recruitment) ### [ Resume/CV & Job Description Match Scoring + Laravel Package ](https://sharpapi.com/en/blog/post/resume-cv-job-description-match-scoring-laravel-package) Hiring is hard. Sifting through dozens—if not hundreds—of resumes to find the right fit feels more like archaeology than recruitment. So we decided to fix that. [ ![CVMatchScore.com: A Real-World Showcase of Our Resume Match API](https://sharpapi.com/storage/12637/conversions/nik-match-unsplash-300-preview.jpg) ](https://sharpapi.com/en/blog/post/cvmatchscore-com-a-real-world-showcase-of-our-resume-match-api) Jan 9, 2026 [ #HR Tech ](https://sharpapi.com/en/blog/tag/hr-tech) [ #CV Parsing ](https://sharpapi.com/en/blog/tag/cv-parsing) [ #HR API ](https://sharpapi.com/en/blog/tag/hr-api) ### [ CVMatchScore.com: A Real-World Showcase of Our Resume Match API ](https://sharpapi.com/en/blog/post/cvmatchscore-com-a-real-world-showcase-of-our-resume-match-api) APIs are easy to explain and harder to truly understand. CV Match Score is a small, fully functional product we built to show what happens when our Resume–Job Match API is used in a real, user-facing scenario. No mockups, no sample data, just a working example. [ ![Smarter Scoring, Sharper Hiring: A Major Update to the CV Match Score API](https://sharpapi.com/storage/28527/conversions/vecteezy_woman-submit-resume-to-employer-to-review-job-application_7143703-300-1-preview.jpg) ](https://sharpapi.com/en/blog/post/smarter-scoring-sharper-hiring-a-major-update-to-the-cv-match-score-api) Apr 9, 2026 [ #HR Tech ](https://sharpapi.com/en/blog/tag/hr-tech) [ #Resume Parsing ](https://sharpapi.com/en/blog/tag/resume-parsing) [ #CV Parsing ](https://sharpapi.com/en/blog/tag/cv-parsing) ### [ Smarter Scoring, Sharper Hiring: A Major Update to the CV Match Score API ](https://sharpapi.com/en/blog/post/smarter-scoring-sharper-hiring-a-major-update-to-the-cv-match-score-api) Not all hiring looks the same, and your scoring engine shouldn't pretend it does. SharpAPI's Resume/CV & Job Description Compatibility Scoring endpoint now ships with a formal directive system that lets you tell the engine exactly what matters for each role, and watch it ripple all the way through to the final score. [ ![When Laravel/PHP E-commerce App Meets AI](https://sharpapi.com/storage/9/conversions/sharpapi-github-php-bg-preview.jpg) ](https://sharpapi.com/en/blog/post/when-laravel-php-e-commerce-app-meets-ai-unleashing-the-power-of-sharpapi-in-10-use-cases) Jan 1, 2024 [ #AI ](https://sharpapi.com/en/blog/tag/ai) [ #Resume Parsing ](https://sharpapi.com/en/blog/tag/resume-parsing) [ #AI Resume Parser ](https://sharpapi.com/en/blog/tag/ai-resume-parser) ### [ When Laravel/PHP E-commerce App Meets AI ](https://sharpapi.com/en/blog/post/when-laravel-php-e-commerce-app-meets-ai-unleashing-the-power-of-sharpapi-in-10-use-cases) Hey fellow Laravel enthusiasts! In the ever-evolving landscape of e-commerce, integrating AI into your Laravel applications is not just a luxury, it’s a necessity. With SharpAPI’s Laravel package, it’s now easier than ever. In this blog, I’ll guide you through 10 transformative use cases for enhancing your Laravel-based e-commerce applications using SharpAPI. [ ![HR Marketing Meets Automation: SharpAPI Content Tools](https://sharpapi.com/storage/1172/conversions/scott-graham-unsplash-400-preview.jpg) ](https://sharpapi.com/en/blog/post/hr-marketing-meets-automation-sharpapi-content-tools) Nov 5, 2024 [ #HR API ](https://sharpapi.com/en/blog/tag/hr-api) [ #Translation API ](https://sharpapi.com/en/blog/tag/translation-api) [ #Keywords ](https://sharpapi.com/en/blog/tag/keywords) ### [ HR Marketing Meets Automation: SharpAPI Content Tools ](https://sharpapi.com/en/blog/post/hr-marketing-meets-automation-sharpapi-content-tools) HR tech is about more than just hunting for the perfect hire – it’s about creating content that attracts them and keeps them glued to your brand. Enter SharpAPI’s content automation tools, here to make your marketing team and your brand look like absolute rockstars. Imagine having a set of tools so sharp, they could slice through a clunky sentence or rescue a dull job ad, turning it into a showstopper. 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