Document processing and decision support
OCR-Assisted CV & Application Processing
A workflow that turns application documents in different formats into human-verified, searchable, and comparable institutional records.
What this role enables
- 01
Edit document classification rules and keywords
- 02
Review the effect of rule changes
- 03
Separate administrator, HR and viewer permissions
- 04
Follow pending document reviews and activity history
Institutional context
Applications arrived in different file types and layouts. Re-entering information consumed time and limited the ability to search and compare records.
My contribution
- Connected document upload, OCR and human review in one workflow.
- Developed candidate, document and job-status screens.
- Brought rule, role and review tools into administration views.
Problem
Manually extracting education, experience, contact, and skill data was inconsistent. Automated extraction also needed human verification before influencing an institutional decision.
Constraints
- Supporting varied PDF and image layouts
- Clearly surfacing low-confidence OCR fields to reviewers
- Processing personal data within role, retention, and purpose boundaries
- Presenting automated matching as a recommendation, not a decision
- 01Document intake
- 02OCR
- 03Field suggestions
- 04Human verification
- 05Searchable record
Approach
Document intake, text extraction, field suggestion, and human verification were designed as separate stages. The source and review status of each field stay visible, keeping the limits of automation explicit.
Solution built
The solution includes OCR-assisted import, candidate records, a verification queue, searchable filters, and rule-based vacancy matching. User corrections remain linked to their source documents, and sensitive fields are access-controlled.
For management
- Edit document classification rules and keywords
- Review the effect of rule changes
- Separate administrator, HR and viewer permissions
- Follow pending document reviews and activity history
Institutional impact
Disconnected documents become searchable institutional records, reducing repeat data entry and creating a consistent information structure for candidate review.
Technical scope
- PDF and image processing
- OCR and field extraction
- Human verification queue
- Rule-based matching
- Roles and data lifecycle
- Search, filters, and exports