Resume Screening

OCR uses AI to extract and analyze text from resumes, streamlining recruitment. Benefits include automating the process, enabling quick resume filtering, saving time, and enhancing candidate matching accuracy.

Use Case
Human Resouces

The Human Resources industry faces a daunting challenge in talent acquisition: efficiently processing and evaluating a massive influx of resumes. Traditional screening methods are not only time-intensive but also prone to oversights, leading to potential misjudgment in candidate selection. This challenge is compounded by the diversity of resume formats and the complexity of extracting relevant information accurately. These issues highlight the need for a technological intervention that is both sophisticated and adaptable.


To address these challenges, we developed a Character Recognition (OCR) solution, tailored specifically for the Human Resources sector. This solution encompasses:

  1. Robust Text Extraction Capabilities: Our OCR technology is adept at extracting text from a wide range of resume formats, including PDFs, images, and scanned documents, ensuring no valuable information is overlooked.
  2. AI-Enhanced Candidate Profiling: Beyond mere text extraction, our solution employs Artificial Intelligence to analyse and interpret the data, building comprehensive candidate profiles based on skills, experience, and qualifications.
  3. Adaptive Matching Algorithms: Leveraging Machine Learning, the system dynamically aligns candidate profiles with job requirements, enhancing the accuracy of candidate-job matching.
  4. Customizable Filters and Tags: HR professionals can set specific criteria, such as skills, experience levels, and educational qualifications, to automate the shortlisting process.
  5. Interactive User Interface: Designed for ease of use, the interface allows HR teams to navigate through candidate information effortlessly, with options for manual oversight and intervention.

This OCR-driven solution was crafted in collaboration with our client, ensuring a perfect fit for their unique recruitment workflow and challenges.


The deployment of our OCR solution in HR resume screening brought transformative results:

  1. Dramatic Reduction in Screening Time: The automation of text extraction and initial candidate assessment led to a significant decrease in time spent per resume.
  2. Enhanced Candidate Selection Accuracy: The AI-driven analysis ensures a more precise match between job requirements and applicant profiles.
  3. Streamlined Recruitment Pipeline: Automation of initial screening phases allowed HR teams to focus on engaging with the most promising candidates, enhancing the overall recruitment experience.
  4. Improved Data Management: Efficient handling and storage of candidate data, enabling quicker retrieval and comparison of profiles.

Techstacks Used

Technologies and Tools
Computer Vision: Python with PyTorch framework. Artificial Intelligence & Machine Learning: Python with TensorFlow and scikit-learn. Natural Language Processing (NLP): Python with NLTK and spaCy. Cloud Computing and Storage Solutions: AWS (Amazon Web Services). Custom Software Development Frameworks: React for frontend, Node.js for backend.

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