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
Extraction: name, email, experience, education, skills, etc.
Returns a compatibility score and missing skills.
Removes personal data for fair processing.
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": "Full Stack Developer",
"duration": "2019-2022"
}
],
"skills": ["Python", "React", "AWS"],
"education": "Master Computer Science",
"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 without requiring any additional resources. CVReader significantly reduces legal risks related to hiring discrimination, both for our clients and for our firm. Our consultants and our clients now focus exclusively on candidates' skills.
Alexandre Bonin
Associate Director
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