Integrate CV parsing AI into your ATS in just a few lines of code
High-performance REST JSON API, latency < 3s, real-time webhooks. Ideal for automating large-scale screening.
REST API & Webhooks
Built for developers, production-tested.
Latency < 3 seconds
Real-time parsing and scoring, even for batches of CVs.
Native ATS integration
Connect our API to your ATS (Taleez, Teamtailor, Cegid, Bullhorn...).
Swagger documentation
Clear endpoints, request/response examples, priority support.
Available endpoints
POST /parse – CV parsing (56 or 96 fields)
Extraction: name, email, experience, education, skills, etc.
POST /match – Candidate/job scoring
Returns a compatibility score and missing skills.
POST /anonymize – CV anonymization
Removes personal data for fair processing.
POST /generate-pdf – Custom PDF CV generation
Creates a PDF with your branding.
Example JSON response (parsing):
{
"candidate": {
"first_name": "Jean",
"last_name": "Dupont",
"email": "jean.dupont@email.com",
"phone": "+33612345678"
},
"experience": [
{
"company": "TechCorp",
"position": "Développeur Full Stack",
"duration": "2019-2022"
}
],
"skills": ["Python", "React", "AWS"],
"education": "Master Informatique",
"score": 87
}It took us only one hour to integrate CVReader into our recruitment processes. Dozens of applications are anonymized daily without impacting our organization and, most importantly, without requiring additional resources. CVReader significantly mitigates legal risks regarding hiring discrimination for both our clients and the firm. Our consultants and clients can now focus solely on candidate skills.
Real-time webhooks
Receive notifications as soon as a CV is processed. Seamless integration into your workflow.
Scalability
Our infrastructure handles thousands of CVs per day with no performance degradation.
14 days without credit card – 200 free credits