No Automatic Accessibility Fixes


At QualiBooth, we are committed to fostering true digital accessibility through a thoughtful and informed approach. While our software provides comprehensive insights into accessibility issues, we advocate for manual intervention by experts to ensure that enhancements are not only significant but also successful in providing equitable access for all users, in compliance with regulatory standards.

Our evaluation of various overlay solutions, which claim to automatically rectify accessibility issues, reveals a critical shortfall: 65-80% of problems persist even after automated attempts to address them. This is because, without explicitly named fields, even the most advanced artificial intelligence fails to grasp the necessary context. Moreover, the 20-35% of issues that are supposedly “corrected” often result in generic, unhelpful, and sometimes misleading labels, increasing rather than mitigating liability. Additionally, these tools modify the page’s Document Object Model (DOM), leading to slower website performance.

Certain corrections, such as content adjustments, translations, or design system modifications, require human judgement that AI cannot replicate. The nuanced understanding necessary for tasks like optimally describing images or organizing complex content in an accessible manner underscores the irreplaceable value of human insight.

We encourage you to consider the broader discourse on the efficacy of overlay tools, as reflected at

Our solution identifies the majority of accessibility issues, though it may not catch some of the more intricate challenges that hinder user experience. The most effective strategy for ensuring compliance with the Americans with Disabilities Act and the European Accessibility Act involves a combination of our monitoring tools with manual audits. Integrating these tools into your workflow across various stages of development and training your team to produce accessible code is key.

We pledge to identify most issues and guide you in addressing them, without making unfounded claims about automatic solutions. This commitment stems from our understanding of the limitations of software in achieving comprehensive accessibility without human intervention.

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