CV Import
Copy content from a faculty CV into our flexible intake form, and our AI will map the data to your organization’s CV fields quickly and accurately. Reduce manual entry, save time and improve data quality, with human oversight at every step.
How It Works
1
Copy any text from a faculty CV, and paste it into the Scholarly UI.
2
Scholarly’s AI identifies categories and fields.
3
Data is mapped into your desired schema.
4
Review, confirm and finalize your entries.
Why It Matters
Our CV Import tool helps you reduce data entry time and significantly lowers the risk of manual errors while improving consistency and quality across faculty records. The results? More bandwidth for faculty and staff to focus on higher‑impact work, and more accurate insights across your institution.
Responsible Innovation for Faculty Data
Keeping You In Control
Our CV Import tool keeps you in command: paste a faculty CV into our flexible intake form and get structured mappings to your institution’s configured CV fields in seconds. Each suggested mapping shows its source context so you can validate, edit and approve before you save or import data.
Designed for Trust
Our approach prioritizes transparency, privacy, and verifiable security. We don’t use faculty data for AI model training, and data is never retained by our AI vendors. Access is role‑based and auditable; data is encrypted in transit and at rest; and our platform is SOC 2 Type II–compliant.
