About the API:
This API will receive an URL of the PDF or MS Word resume file that you want to parse. Receive a JSON object with all the information extracted from the resume.
Automated Candidate Screening:
Applicant Tracking System (ATS) Integration:
Job Matching and Recommendation:
Talent Pool Management:
Diversity and Inclusion Analysis:
Besides the number of API calls per month, there are no other limitations.
Pass the URL of the PDF or MS Word file from which you want to get the structured data.
Be able to detect the name, skills, and education of the applicant.
Parse by URL - Endpoint Features
| Object | Description |
|---|---|
url |
[Required] A publicly reachable URL to download the resume (pdf/docx/doc formats supported) |
{"status":200,"success":true,"data":{"Name":"Hayden Smith","Contact Information":{"Address":"214 Mitre Avenue, Park Hill, 3045","Mobile Number":"04501123456","Email":"[email protected]"},"Work Experience":[{"Position":"Customer service (volunteer)","Employer":"Park Hill Soccer Club Canteen","Duration":"December 2016 \u2013 March 2017","Responsibilities":["Served customers","Handled cash including operating of cash register"]},{"Position":"Newspaper deliverer","Employer":"Argo Newsagency","Duration":"June 2016 \u2013 February 2017","Responsibilities":["Delivered weekend newspapers to houses"]}],"Education":{"Current":{"School":"Park Hill Secondary College","Year":"Year 11","Subjects":["Maths","English","Business Management","VET studies in Sport and Recreation"]}},"Skills":["Customer service","Numeracy","Communication","Teamwork","Organization","Problem-solving"]}}
curl --location --request POST 'https://zylalabs.com/api/4266/cv+to+json+api/5205/parse+by+url?url=https://myfuture.edu.au/docs/default-source/entry-level-resumes/resume_sample_student8ea47e04a8fe67e6b7acff0000376a3b.pdf' --header 'Authorization: Bearer YOUR_API_KEY'
This endpoint will allow you to upload a resume file. PDF or DOCX are supported.
Upload File - Endpoint Features
| Object | Description |
|---|---|
Request Body |
[Required] File Binary |
{"status":200,"success":true,"data":{"Name":"MOHAMED AMOR","Contact Information":{"Email":"[email protected]","Phone":"+216 98 264 577"},"Work Experience":[{"Position":"Technical Support Intern","Company":"BNA Bank - Banque Nationale Agricole","Duration":"Aug 2022 - Aug 2022","Responsibilities":["Assist IT managers.","Provide technical support to employees."]},{"Position":"Technical solutions Intern","Company":"HPE - Hewlett Packard Enterprise","Duration":"July 2023 - Sept 2023","Responsibilities":["Have a training on HPE products and environment.","Work on an automation project.","Provide technical solutions."]}],"Education":{"Degree":"Information Technology, Computer Engineering Degree","School":"Esprit School of Engineering","Duration":"Sept 2021 - May 2026"},"Skills":{"Programming":["C","C++","Python","PHP (Symfony)","Java","JavaScript","Shell","JavaFX","QT"],"Tools":["SQL","UML","ORACLE","GIT","Firebase","Flutterflow","CCNA","Adobe Illustrator"],"Languages":{"Arabic":"C2","French":"C2","English":"C1","Spanish":"B1"}}}}
curl --location 'https://zylalabs.com/api/4266/cv+to+json+api/5220/upload+file' \
--header 'Content-Type: application/json' \
--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 commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.
The API supports various resume formats including PDF, DOC, DOCX, RTF, and TXT. This allows it to handle resumes submitted in different styles and formats, ensuring compatibility with a wide range of applications.
The API uses advanced machine learning and natural language processing (NLP) techniques to achieve high accuracy in extracting relevant information from resumes. Continuous updates and training on diverse datasets help maintain and improve accuracy over time.
Yes, the Resume Information Extractor API is designed to support multiple languages, enabling it to process resumes in various languages and extract relevant information accurately.
The API employs robust security measures including encryption for data in transit and at rest, secure authentication methods, and compliance with data protection regulations such as GDPR to ensure the privacy and security of candidate information.
The API can extract a wide range of details including contact information (name, phone number, email address), work experience, education, skills, certifications, languages spoken, and other custom fields as required.
The "Parse by URL" and "Upload Resume" endpoints return a JSON object containing structured data extracted from resumes. This includes key details such as contact information, work experience, education, skills, and certifications.
Key fields in the response data include "Name," "Contact Information," "Work Experience," "Education," and "Skills." Each field provides specific details relevant to the candidate's profile.
The response data is organized in a structured JSON format. Each section, such as "Work Experience" or "Education," is presented as an array or object, making it easy to parse and integrate into applications.
Both endpoints provide comprehensive information, including candidate's name, contact details, work history, educational background, skills, and responsibilities associated with previous positions.
The "Parse by URL" endpoint requires a single parameter: the URL of the resume file. The "Upload Resume" endpoint accepts a file upload, adhering to size and format restrictions (PDF or DOCX).
Users can integrate the returned JSON data into HR systems or databases for candidate management, automated screening, and job matching, enhancing recruitment efficiency and data organization.
Data accuracy is maintained through advanced machine learning algorithms and continuous training on diverse datasets. Regular updates ensure the API adapts to various resume formats and styles.
Typical use cases include automated candidate screening, ATS integration, job matching, talent pool management, and diversity analysis, all aimed at optimizing recruitment processes.
Please have a look at our Refund Policy: https://zylalabs.com/terms#refund
To obtain your API key, you first need to sign in to your account and subscribe to the API you want to use. Once subscribed, go to your Profile, open the Subscription section, and select the specific API. Your API key will be available there and can be used to authenticate your requests.
You can’t switch APIs during the free trial. If you subscribe to a different API, your trial will end and the new subscription will start as a paid plan.
If you don’t cancel before the 7th day, your free trial will end automatically and your subscription will switch to a paid plan under the same plan you originally subscribed to, meaning you will be charged and gain access to the API calls included in that plan.
The free trial ends when you reach 50 API requests or after 7 days, whichever comes first.
No, the free trial is available only once, so we recommend using it on the API that interests you the most. Most of our APIs offer a free trial, but some may not include this option.
Yes, we offer a 7-day free trial that allows you to make up to 50 API calls at no cost, so you can test our APIs without any commitment.
Zyla API Hub is like a big store for APIs, where you can find thousands of them all in one place. We also offer dedicated support and real-time monitoring of all APIs. Once you sign up, you can pick and choose which APIs you want to use. Just remember, each API needs its own subscription. But if you subscribe to multiple ones, you'll use the same key for all of them, making things easier for you.
Service Level:
100%
Response Time:
2,811ms
Service Level:
100%
Response Time:
7,830ms
Service Level:
100%
Response Time:
823ms
Service Level:
100%
Response Time:
1,341ms
Service Level:
100%
Response Time:
1,966ms
Service Level:
100%
Response Time:
1,293ms
Service Level:
100%
Response Time:
3,408ms
Service Level:
100%
Response Time:
2,039ms
Service Level:
100%
Response Time:
1,720ms
Service Level:
100%
Response Time:
1,272ms
Service Level:
100%
Response Time:
780ms
Service Level:
100%
Response Time:
875ms
Service Level:
100%
Response Time:
369ms
Service Level:
100%
Response Time:
627ms
Service Level:
100%
Response Time:
1,035ms
Service Level:
100%
Response Time:
991ms
Service Level:
100%
Response Time:
1,007ms
Service Level:
100%
Response Time:
2,396ms
Service Level:
100%
Response Time:
710ms
Service Level:
100%
Response Time:
238ms