AI Solution for Efficient CV Processing at Scale
Automation Time
320+hr/mo
Human Moderation
Minimal
An AI-powered CV processing tool, created by SapientPro, automates data extraction, classification, and search, saving over 320 hours each month while minimizing manual moderation and accelerating recruitment at scale.
Our Collaboration Story
A human resource agency supporting large corporations approached us to build a tool for preparing candidate CVs in their internal format. Their legacy software struggled to parse even its own files, slowing down daily work. Knowing our AI background, they asked us to help reduce the manual effort required.
We developed a CV management system that processes unstructured resumes in various formats and extracts key details like education, experience, and projects. What once took up to two hours per CV now takes around five minutes — enough to review, confirm, and export the file using their corporate template.
Challenges
Text Extraction From Image-Based PDFs
Needed to apply OCR to process CVs containing embedded images and non-standard formatting.
Consistent Data Structuring
Required a unified output format to systematize thousands of CVs for easier access and analysis.
Minimizing Human Involvement
Sought to reduce manual moderation while maintaining accuracy across automated tasks.
CV Automation Tool Features
AI-Powered Data Extraction
Automatically identifies and extracts key details from resumes, including name, education, work experience, projects, and hobbies.
Support for Diverse Formats
Processes CVs in various file types and layouts, including scanned PDFs with non-standard formatting.
OCR for Image-Based Documents
Applies optical character recognition (OCR) to extract text from CVs containing embedded images or image-based content.
Unified Output Format
Converts all resumes into a consistent, structured format to simplify storage, comparison, and further analysis.
Searchable Candidate Index
Creates indexed CV records using Azure AI Search, enabling fast lookup, filtering, and comparison.
Recruiter-Friendly Interface
Includes a custom search interface that helps recruiters locate and review candidate data quickly and intuitively.
How It Works
Upload a CV in any format — DOC, PDF, even image-based files — and the system extracts key details like name, university, and work history. The data is organized into a structured format that’s easy to search, filter, and export into any template your team uses.
Solutions
01
Azure OpenAI-Based PDF Parsing
Used Azure OpenAI to extract relevant CV data across varied formats automatically.
02
Structured Indexing With Azure AI Search
Implemented searchable CV records using Azure AI Search for fast, reliable querying.
03
Custom Interface For CV Access
Built a search UI for recruiters to quickly locate, evaluate, and compare structured candidate data.
UNLEASH YOUR IDEA
Max Tatarchenko
CTO with 14 years of experience in solution architecture and engineering, specializing in blockchain and smart contracts. His broad expertise drives innovation across diverse technology projects.
CTO with 14 years of experience in solution architecture and engineering, specializing in blockchain and smart contracts. His broad expertise drives innovation across diverse technology projects.
UNLEASH YOUR IDEA
