Private beta access by invitation

Parse CVs into clean JSON - built for product workflows.

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.

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Terminal content_copy 
curl -X POST https://cvlens.ai/api/cv-parser/parses \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -F "cv=@resume.docx"
description

Multi-Format CV Parsing

The parser accepts PDF, DOC, DOCX, JPG, and PNG resumes and returns structured JSON for downstream systems.

psychology

Optional Analysis Add-On

Paid teams can request `features[]=analysis` only for the CVs where seniority and consistency checks are worth the extra cost.

lock_open

Private Beta Access

New workspaces currently require an invitation link. Contact support@amyla.net if you want access to the parser.

Everything you need from a CV - structured and ready to use.

CVLens extracts the most important resume data points and normalizes them into a clean API response with optional per-request analysis.

person

Candidate Identity

names, contact fields, birth date, social links

work

Work Experience

job titles, companies, dates, descriptions

school

Education

degrees, institutions, fields, years

location_on

Structured Location & Document Data

location parts, document language, and canonical profile details

psychology

Optional Analysis

seniority assessment plus consistency and completeness checks

api

API-first Workflow

multipart upload, polling, and request-controlled add-ons

Predictable output your app can trust.

Send a CV, receive structured JSON. Add analysis only when you want the extra signal.

check Easy to validate
check Ready for databases
check Designed for automation
response.json Example response (trimmed)
content_copy 
{
  "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" }
  },
  ...
}

Built for developers who need practical resume data.

CVLens focuses on predictable API behavior, encrypted short-term retention, and explicit cost control per CV.

Fact extraction first

structured candidate data designed for downstream systems

Retention window

encrypted storage expires after 7 days

Integration in minutes

simple HTTP API with optional `features[]` add-ons

Made for products that work with candidate data.

ATS Platforms

normalize data

Job Boards

pre-fill profiles

HR SaaS Tools

smarter workflows

Internal Automation

automate intake

Start small. Scale when parsing grows.

Simple usage-based pricing for base parsing, with optional paid analysis requested per CV.

Free

€0

  • checkPrivate beta workspaces
  • check25 parses per month
  • checkPDF, DOC, DOCX, JPG, PNG
  • checkAPI access
  • checkinvitation link required
Request Access
Paused

Default

€5/mo

Self-service checkout is paused during the private beta.

  • checkReal products/small teams
  • checkplanned usage-based billing
  • checkoptional `features[]=analysis` per request
  • checkPDF, DOC, DOCX, JPG, PNG
  • checkemail support
Request Access

Business

Custom

  • checkLarge volume
  • checkcustom pricing
  • checkhigher usage guardrails
  • checkcustom add-on packaging
Contact Sales

Ready to turn CVs into structured data?

CVLens is in private beta. Contact support@amyla.net if you want access to the parser.

Request Access View Docs