AI Resume Data Extraction Agent
Automating Resume Data Extraction with AI
Parse Any Format with Multilingual OCR
The agent handles PDFs, DOCX files, and scanned images with intelligent OCR that supports multiple languages, detects layouts, and extracts text from two-column designs, tables, and non-standard templates with near-human accuracy.
Extract and Normalize Candidate Data Automatically
AI-powered entity extraction pulls contact details, work history, education, skills, and certifications—then normalizes job titles and skills to canonical taxonomies so your data is consistent and searchable across every resume.
Deliver Structured JSON to Your ATS via Webhooks
Parsed resume data flows directly into your applicant tracking system through signed webhook callbacks, with field-level confidence scores, schema validation, and automatic deduplication to keep candidate records clean and recruiter workflows moving.
How Cassidy automates resume intake using AI
Step 1: Trigger on resume intake
The Workflow activates when a new resume arrives—whether uploaded to a career site, dropped into an SFTP bucket, forwarded from an inbox, or submitted via API from job boards and agency feeds.
Step 2: Classify and pre-process the document
Cassidy identifies the document type, filters out cover letters and non-resume files, normalizes the format, and routes scanned or image-based resumes through OCR with automatic language detection and layout analysis.
Step 3: Extract and structure candidate data
The AI Agent parses the resume to extract contact information, work history, education, skills, certifications, and additional details—resolving ambiguities, expanding acronyms in context, and mapping entities to your skills and job title taxonomies.
Step 4: Validate and apply business rules
Cassidy validates the extracted data against your schema, applies confidence thresholds, and enforces compliance rules like PII redaction for fair-screening workflows or GDPR consent flags before delivery.
Step 5: Deliver to ATS and downstream systems
The structured JSON payload is sent to your ATS via signed webhook, with field mappings that match your system's candidate schema. Cassidy handles retries, deduplication, and can route low-confidence parses for human review before final upsert.
Implement it inside your company
- Hands-on onboarding and support
- Self-paced training for your team
- Dedicated implementation experts
- Ongoing use case discovery
- ROI tracking & analytics dashboards
- Proven playbooks to get started fast
