Extract and Verify Resume Data with AI
How to extract resume data in 3 steps
1. Upload a resume
Upload PDF, DOCX, scanned resumes, or CV files.
2. AI extracts structured candidate data
Automatically identify personal details, work experience, education, skills, certifications, and projects.
3. Review source evidence
Every extracted field links back to supporting text from the original resume before export.
Traditional Resume Parsing vs Source-Verified Resume Extraction
Traditional Resume Parsers
- × Extract data without showing supporting evidence
- × Difficult to audit extraction accuracy
- × Missing fields often go unnoticed
- × Manual validation required before ATS import
Gentables Source-Verified Extraction
- ✓ Every field includes supporting source evidence
- ✓ Missing information is clearly identified
- ✓ Verify results before importing into ATS systems
- ✓ Traceable structured output for compliance and auditing
More than a Resume Parser
Extract complete candidate profiles
Capture contact information, work experience, education, skills, certifications, publications, projects, and achievements from resumes and CVs.

Source-backed evidence for every field
See exactly where each extracted value came from. Every field can be traced back to supporting content in the original resume.

Structured JSON for ATS and recruiting workflows
Export clean structured candidate data as JSON, tables, or spreadsheets for ATS systems, talent databases, and recruiting pipelines.

Common resume extraction use cases
Recruiting & ATS Systems
• Parse resumes before ATS import
• Verify extracted candidate profiles
• Standardize resume data across applicants
Executive Search & Staffing
• Extract candidate skills and experience
• Build searchable talent databases
• Validate candidate information against source documents
AI Agent & HR Automation
• Feed verified candidate data into AI workflows
• Build structured candidate knowledge bases
• Generate source-backed hiring reports



