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One job posting brings hundreds of résumés — each with its own format, font and layout. HR teams open every file, hunt for skills and history, and retype them into spreadsheets. First-pass screening takes days and good candidates get lost in the volume.
How AI résumé extraction works
- Multi-format input: PDF, scanned images and Word — no standard template required
- Field extraction: skills, work history, education and contact details pulled from free text
- Structuring: everything becomes structured data in a candidate database
- Search & compare: candidate comparison in minutes instead of days
What changes — real delivery numbers
MetaDeep's delivered Intelligent Resume Extraction & Management System cuts first-pass screening time by 80%, reviews 2–3× more candidates and improves job-match quality. Base rollout in 3 weeks; domain fine-tuning ~2 months. KPIs: screening time, field-extraction accuracy, job match rate, time-to-hire.
Built for Persian
The system handles Persian and bilingual (fa-en) résumés — half-spaces, Persian job titles, Iranian universities and companies — the exact gap that makes foreign ATS tools unreliable in the Iranian market. Pairs with the Intelligent Archive System and Document Image-to-Text System. Contact MetaDeep to start.
