The Resume Parser 1.0 is now available for teams building hiring products, ATS workflows, recruitment marketplaces, and AI screening tools.
This release turns messy CVs into structured hiring data that can be stored, searched, matched, and passed into downstream automation.
Added
Customer outcomes
- Convert PDF, DOCX, TXT, Markdown, URL, raw text, and image-based resumes into a consistent JSON schema
- Enrich candidate profiles with AI-generated summaries, skill proficiency, years of experience, and confidence signals
- Match candidates against job descriptions with a score, matched skills, and missing skills
- Reuse previously parsed resume JSON for match-only workflows without paying to parse the same CV again
- Run raw-text matching when speed matters and full parsing is not required
- See request history, status, stage progress, and errors in the dashboard for easier integration support
API
- Version 1.0.0 resume parsing API endpoints for submitting and retrieving results
- API key creation from the dashboard
- Parse request history, stage timeline, and usage statistics in the dashboard
Billing
- Credit-based usage system
- Same API surface and JSON schema across plans
- Failed parses and failed matching stages do not consume credits
Parsing
- Multiple AI model tiers for parsing accuracy
- OCR processing for scanned documents
- Support for PDF, DOCX, TXT, Markdown, JPG, PNG, raw text, pre-parsed JSON, and URL inputs
- Skill extraction, enrichment, and optional normalization from resumes
- Configurable pipeline stages for parse and matching workflows
- Job description matching for parsed, pre-parsed, or raw-text inputs
- Structured JSON output with personal information, work experience, education, skills, certifications, and languages