Note: This tool currently supports English language only.

What is inclusive language?

Inclusive language refers to words and phrases that avoid bias, slang, or expressions that discriminate against groups of people based on race, gender, sexuality, disability, or other characteristics. It's a way of communicating that respects all individuals and doesn't exclude or marginalize anyone. Using inclusive language helps create welcoming environments, whether in documentation, marketing materials, academic writing, or everyday communication.

Language evolves constantly, and terms that were once acceptable may now be considered offensive or exclusionary. What seems neutral to one person might be hurtful to another. This is why tools that automatically detect potentially problematic language are valuable—they help writers identify blind spots and suggest more considerate alternatives.

Why does inclusive language matter?

Words shape perceptions and can reinforce stereotypes or biases, even unintentionally. In professional settings, non-inclusive language can alienate colleagues, customers, or community members. In open-source projects and documentation, it can discourage contributions from underrepresented groups. By choosing inclusive alternatives, writers demonstrate respect for their audience and help foster more equitable communication standards.

Tool description

This tool analyzes your text for potentially insensitive, inconsiderate, or exclusionary language and provides suggestions for more inclusive alternatives. It supports plain text, Markdown, and HTML content formats, making it versatile for various writing contexts. The tool uses the alex library, a popular open-source solution trusted by developers and writers worldwide for catching problematic language patterns.

Simply paste or type your content, select the appropriate format, and receive instant feedback on any flagged terms along with recommended replacements.

Features

  • Multiple content formats: Supports plain text, Markdown, and HTML parsing for accurate context-aware analysis
  • Real-time analysis: Instant feedback as you type with smart debouncing for optimal performance
  • Syntax highlighting: Code editor with line numbers and visual highlighting of flagged words
  • Detailed suggestions: Each issue includes the problematic term, explanation, and recommended alternatives
  • Sortable results table: Easily navigate through findings with location information (line and column numbers)

Use cases

  • Documentation writers reviewing technical docs, READMEs, and API references to ensure they don't alienate or offend readers
  • Content creators and marketers checking blog posts, social media content, and marketing copy before publication
  • HR professionals reviewing job postings, company policies, and internal communications for bias-free language
  • Educators and students proofreading academic papers, presentations, and educational materials
  • Open-source maintainers auditing project documentation, contributing guidelines, and code comments to create welcoming communities