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What is Textkernel?

Textkernel is a recruitment technology platform that automates the extraction and parsing of data from CVs and job descriptions. It uses natural language processing to identify candidate information, work history, skills, and qualifications, then matches this data against job requirements. The tool is designed for recruitment teams, HR departments, and staffing agencies who need to process large volumes of applications efficiently. Rather than manual data entry, Textkernel pulls structured information from unformatted documents, allowing recruiters to focus on evaluation and decision-making instead of administrative work.

Key Features

CV parsing

Extracts candidate details, employment history, education, and skills from CVs in multiple formats and languages

Job description analysis

Processes job postings to identify key requirements and qualifications

Candidate matching

Compares candidate profiles against job requirements to surface suitable matches

Data standardisation

Converts extracted information into structured, searchable formats for consistency across your database

Analytics and reporting

Provides insights into candidate pools, application trends, and recruitment metrics

Multi-language support

Handles CVs and job descriptions in numerous languages

Pros & Cons

Advantages

  • Saves time on manual CV review and data entry for teams processing many applications
  • Reduces human error in candidate information capture and organisation
  • Available on a freemium model, so you can test the core functionality at no cost
  • Supports multiple document formats and languages, useful for international recruitment

Limitations

  • Accuracy of parsing can vary depending on CV formatting and layout; poorly formatted documents may require manual correction
  • Integration with existing HR systems or ATS platforms may require additional setup or API configuration
  • Free tier likely has limitations on document volume or features, requiring paid plans for larger-scale operations

Use Cases

Recruitment agencies processing hundreds of CVs weekly for multiple job placements

In-house HR teams managing high volumes of applications for open positions

Staffing companies building searchable candidate databases from unstructured CV files

Job boards or career platforms automating candidate profile creation from submitted documents

Talent acquisition teams analysing skill gaps and candidate pool composition