Genderly
Overview
AI-powered gender bias detection for text, with Gemini analysis and 3D visualization.
Genderly helps writers, researchers, educators, HR teams, DEI teams, marketers, and content reviewers detect potential gender bias in web text or selected content. The extension uses AI-assisted analysis to identify patterns such as gender stereotypes, unequal role representation, differences in capability framing, sentiment imbalance, and other language signals that may affect fairness and inclusiveness. Key features: • Analyze selected text or webpage content for potential gender bias • Identify stereotypes, unequal representation, and biased language patterns • Receive clear explanations and practical rewriting suggestions • Explore results through interactive 3D visualization • Support content review for job descriptions, marketing copy, educational materials, research samples, articles, and public-facing communication How it works: 1. Open a webpage or select the text you want to review. 2. Launch Genderly from the browser extension. 3. Review the bias analysis, explanations, visualization, and suggested improvements. 4. Use the results as an AI-assisted reference and apply human judgment before publishing. Note: Genderly provides AI-assisted analysis and should not be treated as legal advice, academic proof, or a final decision-making system. Results may depend on context and should be reviewed by humans.
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Details
- Version1.1.0
- UpdatedJuly 1, 2026
- Size302KiB
- LanguagesEnglish
- Developer
Email
mazhiqi697@gmail.com - Non-traderThis developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.
Privacy
Genderly has disclosed the following information regarding the collection and usage of your data. More detailed information can be found in the developer's privacy policy.
Genderly handles the following:
This developer declares that your data is
- Not being sold to third parties, outside of the approved use cases
- Not being used or transferred for purposes that are unrelated to the item's core functionality
- Not being used or transferred to determine creditworthiness or for lending purposes