Find AI Tools
Textio screenshot

What is Textio?

Textio is an AI language platform designed to help organisations write fairer job listings and performance reviews. The tool analyses text to identify language patterns that may inadvertently discourage certain candidates or create bias in hiring and evaluation processes. It provides real-time suggestions to adjust wording, tone, and phrasing to make job descriptions and reviews more inclusive and objective. The platform is particularly useful for HR teams, recruiters, and managers who want to reduce unconscious bias in their hiring and people management practices. By highlighting potentially exclusionary language, Textio helps organisations attract a broader talent pool and evaluate employees more equitably.

Key Features

Job listing analyser

scans vacancy text for biased or exclusionary language patterns

Performance review insights

identifies potentially unfair or subjective language in employee evaluations

Real-time suggestions

provides alternative wording to make language more inclusive

Bias detection

flags gendered language, unnecessary requirements, and tone inconsistencies

Historical data comparison

shows how your language compares to high-performing job postings

Pros & Cons

Advantages

  • Free to use with no paywall for core functionality
  • Practical tool that addresses a genuine workplace fairness issue
  • Simple to integrate into existing recruitment and review workflows
  • Helps organisations meet diversity and inclusion goals with concrete, actionable feedback

Limitations

  • AI-generated suggestions may not always account for industry-specific language or terminology
  • Requires manual review and judgement; not all flagged language needs changing
  • Limited to text analysis; cannot address bias in non-linguistic aspects of hiring or evaluation

Use Cases

HR departments writing job descriptions to attract more diverse candidate pools

Recruitment teams ensuring consistency and fairness across multiple job postings

Managers drafting performance reviews to reduce subjective or gendered language

Organisations conducting bias audits of existing job listings and evaluation templates

Learning and development teams training staff on inclusive communication practices