A Cover Letter Optical Character Recognition (OCR) data extractor is an advanced technology that uses Artificial Intelligence (AI) and machine learning to accurately read, understand and extract vital data from cover letters. This innovative OCR technology is capable of accurately identifying key details such as candidate's name, contact information, skills, experience, and specific phrases or statements that match job requirements. This data is then transformed into a structured digital format that can be easily sorted, filed, and analysed.
The infallible accuracy, time efficiency, and improved data management are the chief advantages of a Cover Letter OCR data extractor. By speeding up the initial screening process, recruitment becomes more efficient, allowing for faster, better hiring decisions. Furthermore, a Cover Letter OCR data extractor aids in building a comprehensive digital database of potential candidates for future reference, making talent acquisition a seamless and coherent process.
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Superior accuracy
Supports multiple file formats: PDF, JPG, PNG
Highly flexible and customisable
Supports over 56 languages
Upload and extract in bulk
Self-learning models improve over time
Seamless upstream and downstream integration
Recruitment agencies use our Cover Letter OCR data extractor to rapidly process high volumes of job applicant data. This contributes to a more efficient recruitment process and ensures no potential candidate is overlooked.
Human Resources (HR) departments leverage our Cover Letter OCR data extractor to automatically collect key details from job applicants’ cover letters, aiding HR professionals in shortlisting candidates faster for interview rounds.
Hiring managers utilise our cover letter OCR data extractor to effectively evaluate a candidate's skills, experiences, and suitability for a job role. It saves time, enhances the hiring process, and enables a data-driven approach to candidate selection.