CV Parsing & Talent Pool
File formats, parsing speed, the CV Bank, and semantic search.
Scovai parses PDF, DOCX, and scanned documents via OCR technology. The multi-format parser handles virtually any CV layout and format, extracting structured data regardless of how the document was created.
Under 3 seconds per document. The AI extracts structured data — job title, skills, experience history, education, certifications, and contact details — instantly and accurately.
The CV Bank is your centralized talent pool. Every parsed CV is stored, semantically embedded, and indexed for instant retrieval. Search your entire candidate database with natural language queries instead of rigid keyword filters.
Type natural queries like 'React developer with cloud experience and team leadership' and Scovai finds relevant candidates based on contextual meaning. Unlike keyword search, this surfaces candidates even when their CV uses different terminology for the same skills.
Yes. Upload up to 50 CVs at once through the CV Bank interface. All documents are automatically parsed, vector-embedded, and added to your searchable talent pool within seconds.
When you find a strong candidate in your CV Bank, you can apply them to any open position with one click. This triggers the full AI scoring pipeline automatically — the candidate is evaluated against the position requirements without manual intervention.