TalentInsight Schema Reader API API ID: 12712

Parse PDF/DOCX resumes into structured JSON data using FastAPI and spaCy
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A fast and reliable API built with FastAPI and spaCy to extract structured information from resumes.

Extracts:
- Contact Details (Name, Email, Phone)
- Social Profiles (LinkedIn, GitHub)
- Professional Skills & Years of Experience
- Section-by-section breakdown (Summary, Experience, Education, Projects)

API Documentation

Endpoints


fast and reliable endpoint to extract structured information from PDF/DOCX resumes. It returns contact details, social profiles, professional skills, years of experience, and a section-by-section breakdown.



                                                                            
GET https://zylalabs.com/api/12712/talentinsight+schema+reader+api/24597/analyze+cv
                                                                            
                                                                        

Free test requests remaining: 3 of 3.

This endpoint does not require any input parameters.


API EXAMPLE RESPONSE

{"status":"ok","message":"Resume Parser API is running."}

Analyze CV - CODE SNIPPETS


curl --location --request GET 'https://zylalabs.com/api/12712/talentinsight+schema+reader+api/24597/analyze+cv' --header 'Authorization: Bearer YOUR_API_KEY' 


    

API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the TalentInsight Schema Reader API simply include your bearer token in the Authorization header.
Headers
Header Description
Authorization [Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

Simple Transparent Pricing

No long-term commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.

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Starts at
$ 10,000/Year


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TalentInsight Schema Reader API FAQs

The GET endpoint returns structured information from resumes, including contact details, social profiles, professional skills, and experience breakdowns. The POST endpoint evaluates resumes, providing a comprehensive score, feedback on strengths and weaknesses, and suggestions for improvement.

Key fields in the GET response include "contact_info," "social_profiles," "skills," and "experience_years." The POST response includes "score," "feedback," and "suggestions," allowing users to understand the resume's effectiveness.

The response data is structured in JSON format. For the GET endpoint, data is categorized into sections like contact information and skills. The POST endpoint organizes feedback into distinct fields, making it easy to parse and utilize.

The GET endpoint provides contact information, social media links, skills, and experience details. The POST endpoint analyzes educational background, work experience, skills, and certifications, assessing their relevance to job descriptions.

Users can customize their requests by submitting resumes in PDF or DOCX format to the GET endpoint. For the POST endpoint, users can include specific job descriptions in the JSON format to tailor the evaluation process.

The data is extracted directly from the resumes submitted by users. The API utilizes FastAPI and spaCy for parsing, ensuring that the information is derived from the content of the documents provided.

Data accuracy is maintained through the use of advanced natural language processing techniques provided by spaCy, which helps ensure that the extracted information is relevant and correctly interpreted from the resumes.

Typical use cases include recruitment platforms assessing candidate resumes, HR systems improving candidate selection, and career coaching services providing feedback to job seekers on their resume quality and relevance.

General FAQs

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