You cannot scan a mobile app for WCAG issues the way you scan a website. No equivalent scanner exists for native iOS or Android apps that mirrors the coverage of browser-based web scans. Mobile app accessibility evaluation relies on a combination of platform-specific accessibility inspectors, screen reader testing with VoiceOver and TalkBack, keyboard and switch control testing, and manual audit work by trained evaluators. Automated checks on mobile apps detect a narrow slice of issues, and the broader WCAG conformance picture requires hands-on evaluation against the Web Content Accessibility Guidelines.
| Key Point | What It Means |
|---|---|
| No true scan | There is no accessibility scan for mobile apps comparable to web scanners. |
| Platform inspectors | iOS and Android provide built-in accessibility inspectors for developers. |
| Screen reader testing | VoiceOver and TalkBack are used to evaluate the actual user experience. |
| WCAG applies | WCAG 2.1 AA is the referenced standard for mobile app conformance. |
| Manual evaluation required | A manual audit by a trained evaluator identifies issues platform tools miss. |
Why a Mobile App Scan Does Not Exist the Way a Web Scan Does
Web accessibility scanners load a page in a browser and evaluate the HTML, CSS, and ARIA attributes against WCAG success criteria. Native mobile apps do not expose a public document object model in the same way. The accessibility tree on iOS and Android is constructed at runtime by the operating system, and access to that tree requires platform-specific tooling.
That difference is why no single scanner produces a WCAG report for a mobile app the way browser-based scanners do for web pages. Even where automated checks exist on mobile, the coverage is narrower than the roughly 25 percent of issues that web scans detect, and the output requires more interpretation.
What Platform Tools Are Available
Apple and Google each provide accessibility inspectors for their respective platforms. These are developer tools, not WCAG report generators. They surface element-level information such as missing labels, traits, and values within the app under inspection.
Output from these inspectors maps loosely to WCAG criteria but is framed around the platform’s own accessibility APIs. Translating findings into a WCAG conformance report requires someone who understands both the platform conventions and the underlying WCAG success criteria.
How Mobile App Accessibility Evaluation Actually Works
A professional mobile app evaluation against WCAG 2.1 AA combines several methods:
- Screen reader testing with VoiceOver on iOS and TalkBack on Android to evaluate reading order, labels, and announcements.
- Keyboard and switch control testing to evaluate focus management and operability without touch.
- Visual inspection at default and enlarged text sizes, including dynamic type and font scaling.
- Code and accessibility tree inspection using platform inspectors to verify roles, states, and properties.
- Automated checks as a supplemental review layer, not a primary evaluation method.
Each method covers a portion of the WCAG criteria. Together they produce the kind of issue list that supports remediation and conformance claims.
What an Evaluator Documents
A mobile app audit report identifies issues by screen, element, and WCAG success criterion. Each issue includes a description, the impact on assistive technology users, and a remediation note that references the platform’s accessibility API. The report is the document used by developers to fix the app and by procurement teams to evaluate conformance.
How Cost Compares to Web Audits
Most accessibility audits start at $1,000 and range to $3,000, with scope driving the final number. Mobile apps are typically scoped by screens rather than pages. A small app with focused functionality lands at the lower end, while a larger app with many flows and states scales accordingly.
For teams looking at evaluation options, the practical takeaway is that the word “scan” does not describe what mobile app accessibility evaluation looks like. The work is evaluator-led, and the output is an audit report tied to WCAG criteria.