Multi-Format CV Parsing
The parser accepts PDF, DOC, DOCX, JPG, and PNG resumes and returns structured JSON for downstream systems.
Private beta access by invitation
CVLens is a developer-first API that extracts structured CV data from PDF, DOC, DOCX, JPG, and PNG resumes and lets customers request optional paid analysis per upload.
curl -X POST https://www.cvlens.ai/api/cv-parser/parses \
-H "Authorization: Bearer YOUR_API_KEY" \
-F "cv=@resume.docx"
The parser accepts PDF, DOC, DOCX, JPG, and PNG resumes and returns structured JSON for downstream systems.
25 one-time parses. Analysis included on 5 of them. After the trial, request analysis only for the CVs where the extra signal is worth it.
New workspaces currently require an invitation link. Contact support@amyla.net if you want access to the parser.
CVLens extracts the most important resume data points and normalizes them into a clean API response with optional per-request analysis.
names, contact fields, birth date, social links
job titles, companies, dates, descriptions
degrees, institutions, fields, years
location parts, document language, and canonical profile details
seniority assessment plus consistency and completeness checks
multipart upload, polling, and request-controlled add-ons
Send a CV, receive structured JSON. Add analysis only when you want the extra signal.
{
"id": "01jt...",
"status": "completed",
"poll_url": "/api/cv-parser/parses/01jt...",
"data": {
"person": {
"full_name": "Jane Miller",
...
"social_links": [{ "type": "linkedin" }],
"location": { "city": "Berlin", "country_code": "DE" }
},
...
"document": { "document_language": "de" }
},
"analysis": {
"seniority_assessment": { "level": "senior" }
},
...
}
CVLens focuses on predictable API behavior, encrypted short-term retention, and explicit cost control per CV.
structured candidate data designed for downstream systems
encrypted storage expires after 7 days
simple HTTP API with optional `features[]` add-ons
normalize data
pre-fill profiles
smarter workflows
automate intake
Start with the API overview, then go deeper into supported document formats, integration use cases, and data retention.
From multipart upload to structured JSON and optional analysis.
Extract structured CV facts from text-based and scanned PDFs.
Normalize editable Word resumes into one stable response contract.
Process JPG and PNG resumes through guarded OCR extraction.
Use normalized candidate data in applicant tracking workflows.
Pre-fill profiles and reduce manual candidate intake.
Understand encryption, workspace access, and the 7-day retention window.
Start with one-time credits, then use a monthly minimum fully credited toward successful work.
€0
25 one-time parses. Analysis included on 5 of them.
€5/ month minimum
Fully credited toward metered usage
€5 monthly minimum spend, fully credited against successful usage.
Launch Pricing — activate by December 31, 2026.
€0.05 per successful async parse
€0.06 per successful sync parse
+ €0.10 per successful analysis
€15/ month
Platform fee
Best value from around 500 successful parses per month — sooner when using analysis.
€0.02 per successful async parse
€0.03 per successful sync parse
+ €0.04 per successful analysis
€115 / month minimum
€15 platform + €100 parse commitment
Commit to €100 in monthly parse usage and keep the lower rates above it.
€0.01 per successful async parse
€0.02 per successful sync parse
+ €0.04 per successful analysis
Failed parses and full cache hits are free. Analysis is available in async mode only.
CVLens remains in private beta. Request access to activate launch pricing.
CVLens is in private beta. Contact support@amyla.net if you want access to the parser.