Overview

Textkernel Parser is a cutting-edge AI-driven tool designed to automatically extract and structure key information from resumes, CVs, and job postings. It transforms unstructured data into standardized, searchable formats, enabling recruiters, HR professionals, and talent acquisition teams to quickly access and analyze candidate information. The parser supports multiple languages and document formats, ensuring broad applicability across global recruitment operations. It improves data quality, reduces manual entry, accelerates candidate matching, and integrates seamlessly with ATS and HRIS systems to optimize hiring workflows.

Features and Capabilities

• Accurate Data Extraction: Uses AI and natural language processing (NLP) to extract personal details, work experience, education, skills, and contact info with high precision.
• Multilingual Parsing: Supports parsing resumes and job descriptions in over 20 languages, enabling global recruitment.
• Structured Output: Converts unstructured documents (PDF, Word, TXT, etc.) into standardized XML/JSON formats ready for ATS or CRM systems.
• Resume & Job Matching Support: Enables improved candidate-job matching by normalizing skills and qualifications for comparison.
• Scalable & High Performance: Processes large volumes of documents quickly, suitable for enterprises with high recruitment demand.
• Integration Friendly: Offers flexible API and connectors for easy integration with applicant tracking systems, HR platforms, and job boards.
• Customizable Data Fields: Allows configuration to capture industry-specific or company-specific resume attributes.
• Support for Multiple Document Types: Handles various resume layouts, formats, and even job descriptions to ensure broad coverage.
• Quality Control and Validation: Includes validation mechanisms to reduce parsing errors and improve data consistency.
• GDPR Compliant: Designed to handle personal data securely in line with data protection regulations.