Do you compose job descriptions, send messages, or generate social media content to engage prospective candidates? If so, you may want to utilize tools for gender writing evaluation. These instruments can guarantee your content is inclusive as well as impartial.
A study by Appcast involving 473,742 positions revealed:
“Job postings utilizing gender-neutral language lead to 67.75% more applications at a cost that is 68.5% lower per application compared to job postings that employ a mix of female and male-coded terminology.”
source:Diversity Recruiting: A Guide to Best Practice Language Usage
The 7 gender analysis writing tools listed below can assist you in eliminating gender-coded terminology. They can also aid you in crafting inclusive content to draw more women, starting with your job advertisements.
1. Ongig Text Analyzer
Ongig’s Text Analyzer is an enhanced gender analysis writing instrument that identifies masculine language and proposes more inclusive alternatives.
How does this gender writing evaluation tool function? Simply copy/paste your text (or upload a .docx file) into the tool, which scans for gender bias (& various types of bias). The tool marks masculine terms with a red underline, allowing you to click and substitute them with terms that are free from gender bias.
The Text Analyzer also features intelligent templating capabilities that enable organizations to create, save, and modify job descriptions for similar roles on a large scale. Hiring teams can incorporate these AI-enhanced job descriptions into their ATS and career websites for a smooth, skills-oriented hiring initiative that attracts talent from all demographics.
Ongig caters to SMBs and large enterprises with numerous users (recruiters, hiring managers, talent acquisition, diversity teams, etc.). Pricing begins at $11,997 annually, and you can also request a demo for further information.

2. Grammarly
Grammarly‘s advanced autocorrect feature examines for exclusionary vocabulary that might alienate and deter your most crucial hires, enhancing job description content for all candidates. How do you perform a gender analysis of writing in Grammarly? Simply copy/paste your text into this tool, and it identifies non-inclusive terms (e.g., manpower).
While Grammarly is free for basic spelling, punctuation, and grammatical checks, advanced functionalities like inclusive hiring suggestions necessitate a pro subscription. Professional accounts begin at $12/month and can go up to $12.50 per member (per month) for accounts with 3 to 149 members.

3. Gender Decoder
Gender Decoder is yet another beneficial instrument for rendering your writing gender-neutral. Upon pasting your text, the instrument checks for masculine or feminine terminology. Following the analysis of your content, it also generates a list of these terms. Using this tool enables your writing to be more inclusive and equitable for all.
The platform also showcases a thorough panel of biased (and potentially offensive) words for quick reference. This allows hiring teams to maintain job descriptions that are equitable and appealing to all applicants from the start. Gender Decoder’s gender writing analysis tool is free to utilize.

4. Witty.Works
Witty.Works is an inclusive writing assistant that empowers hiring teams to create and scale inclusive content across their ATS and career sites. The intelligent software detects exclusionary language and recommends neutral substitutes that resonate with a varied audience. Witty.Works also lives up to its name, offering clever suggestions that promote teamwork and diversity by replacing exaggerations and enabling friendly communications.
Witty.Work’s solution is also highly integrated, meaning you can seamlessly operate it with the existing talent acquisition pipeline, enhancing application and hiring rates.
5. Microsoft Word
Microsoft Word‘s inclusive language checker serves as another example of a gender writing analysis tool. You can find instructions for enabling settings to flag gender writing bias (& other forms of bias) in this post, How to Check for Inclusive Language in Microsoft Word.
The inclusive language “gender writing analyzer” is only accessible in the version of Word provided with a Microsoft 365 subscription. You can activate the checker by navigating through File>Options>Proofing>Settings and selecting the Gender Neutral preference.
While Microsoft business plans (premium versions) start approximately from $7-$14 monthly, pricing ultimately varies depending on the selected plan based on your organizational needs.
Pro tip: integrating MS Word with Co-pilot add-ons enables you to rewrite job descriptions with gender-neutral efficiency utilizing the power of AI.
Note: If you found these tools enjoyable, you might also appreciate our post on the Top 7 Augmented Writing Tools for Job Descriptions.

6. Total Jobs Gender Bias Decoder
Total Jobs Gender Bias Decoder assists in identifying gender bias in your writing. It’s incredibly straightforward to use. All you need to do is copy your text, paste it in the box,
and observe female-associated terms in blue and male-associated terms in pink/red.
Total Jobs Gender Bias Decoder also offers neutral alternatives for masculine-associated terms. However, it’s worth noting that the software does not suggest options for female-associated terms since studies reveal that the opposite does not deter male applicants during the job application process.
This instrument simplifies the identification of bias while also guaranteeing that your writing remains just and impartial. Total Jobs Gender Bias Decoder is complimentary to use.

7. Applied Text Analysis
The Job Description Analysis Tool (JDAT) is a component of Applied’s Job Description tool, which inspects for masculine and feminine terms to ensure your content is gender-neutral. The advanced instrument additionally incorporates specialized algorithms for monitoring socioeconomic backgrounds and age to enhance skills-based hiring initiatives.
Simply copy and paste your text into the provided space, and it will analyze and highlight exclusionary vocabulary. The AI detects potentially biased terms like gender-coded language and also provides a readability report that evaluates reading duration, current content comprehension level, and word count. Although the JDAT includes a free gender bias decoder function, a more extensive array of features is accessible through a paid version via a customized quote.

8. Clovers
Clovers is an AI-powered interview intelligence platform that addresses unconscious biases during hiring. From anonymized resume evaluations to their gender bias checker for job descriptions, their tools serve as excellent resources for anyone aiming to streamline and enhance fairness in their hiring process. Clovers is especially adept at evaluating the dynamics of interviews, reducing interviewer biases through the capabilities of natural language processing (NLP).
Their gender bias language checker evaluates job descriptions for gender stereotypes and gender-specific terminology. Clovers integrates seamlessly with Microsoft Teams, simplifying the application of the most effective and data-driven interview practices across their ATS.
Research from Harvard Kennedy School revealed that women are 50% less inclined to apply for positions that showcase masculine-sounding language. A gender bias language checker like Clovers could be vital for anyone focused on achieving gender equality in the workplace.
9. Datapeople
Datapeople is a specialized service provider for job descriptions, featuring a Smart Editor tool. The software examines job descriptions to foster inclusive terminology. We appreciate that their tool not only identifies problematic language but also offers strategic recommendations concerning length, structure, and formatting for these descriptions.
Smart Editor allows decision-makers to ensure their content aligns with the ever-evolving employer compliance and best practices. Users can confidently proceed to publish effective JDs using the system’s pre-approved templates, complying with the most stringent criteria to optimize candidate engagement.
Additionally, the Smart Editor provides user transparency for content revision evaluations, which is ideal for larger organizations with intricate HR processes and heightened internal oversight obligations.
Datapeople’s JD-enhancing tool is beneficial for anyone aiming to revise and modernize their job description archive to better mirror their organization’s dedication to gender equality and fair hiring practices.
10. Happy Dance Job Page Grader
Happy Dance’s Job Page Grader is a complimentary tool that examines published job descriptions for unconscious bias and gendered language. We appreciate that Job Page Grader is free, making it accessible to organizations of all sizes. If you publish job descriptions online, this tool is available for your use.
The Job Page Grader evaluates and recommends enhancements for a job page based on its URL, ensuring that it complies with the latest standards in mobile optimization, SEO, and code hygiene (essential for improving loading speeds).
However, like any free tool, there are limitations to what Job Page Grader can accomplish. It only scans one page at a time, and there is no option for analyzing offline or non-digital job descriptions. Nonetheless, we believe this tool is robust and serves its purpose well for users seeking minimal assistance and evaluation functions from their gender bias language checker tool.
Why examine job descriptions for gender bias in 2026?
Conventional methods for crafting job descriptions suggest that the optimal writing approach employs established vocabulary and industry jargon. However, these words and phrases have gone unquestioned for far too long, potentially leading top-tier candidates to find them cumbersome, outdated, and even offensive.
Outdated job descriptions may include terms or phrases that contribute to gender stereotypes, reinforce gender roles, or fixate on gender distinctions. Moreover, significant advancements in AI development and augmentation have made it possible to eliminate socioeconomic and accessibility biases to attract talent from diverse backgrounds. These have become standard practices rather than mere enhancements.
As such, companies must remain informed about the nuances of language evolution, particularly concerning job descriptions. Even a diligent and intentional HR team member can overlook terminology that reinforces gender bias.
The ten gender bias language checker tools highlighted in our article empower hiring teams to reduce costly human errors by recognizing linguistic subtleties, such as identifying masculine or male-associated terms within the JD.
From the gender wage gap in job descriptions to systemic challenges like the absence of paid paternity leave and the high costs of childcare, gender bias continues to impact talent across all industries.
Recruiting and retaining women necessitates a comprehensive overhaul of corporate policies, including AI-enhanced job descriptions.
Findings from the United Nations indicate that workplace bias remains widespread despite efforts toward inclusive hiring. 2026 could be a transformative year with the introduction of intelligent AI tools that address subconscious hiring bias at its core, offering equal opportunities for talent to secure their positions within a competitive job market.
Why I crafted this?
Ongig is dedicated to eradicating uninspired and biased job descriptions. Our Text Analyzer is a gender bias language checker (among other capabilities!) that can assist you in crafting the most inclusive JDs available. Request a demo to discover more.
Acknowledgments:
- Diversity Recruiting: Guide to Best Practice Language Usage (by Appcast)
- How to Check for Inclusive Language in Microsoft Word (by Rob Woodgate)
- My Top 5 Augmented Writing and Gender Bias Tools (by Katrina Kibben)
- Why Clear Job Descriptions Matter for Gender Equality (by Kara Baskin)
- Harvard Kennedy School – Job advertisements that use masculine wording are less appealing to women.
- Business.com – The Hidden Ways Gender Bias Can Sabotage Recruitment
- Grammarly – How Delivery Can Affect Your Writing | Grammarly Spotlight