Is my audio accessible? Upload a clip for transcription, sound descriptions, and accessibility barrier checks.
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Accessibility Analysis is an AI-powered tool that checks audio content for accessibility considerations and provides recommendations for making audio more inclusive. It analyzes audio to suggest appropriate transcriptions, describes sound effects and music that should be noted for accessibility, and identifies potential barriers or improvements for people with hearing impairments or other accessibility needs. The tool examines audio content to determine what information is conveyed only through sound, identifies non-speech audio elements like music, sound effects, and ambient sounds that need description, evaluates whether speech content is clear enough for transcription, and suggests improvements for accessibility. It provides detailed descriptions of audio elements that should be included in transcripts or captions, identifies moments where sound conveys important information, and suggests how to make audio content more accessible. This makes it valuable for content creators ensuring their work is accessible, podcasters providing transcripts, video producers creating captions, or anyone wanting to make audio content inclusive for all audiences.
Upload your audio content and the AI analyzes it for accessibility considerations. It identifies speech content and evaluates clarity for transcription purposes, noting any unclear sections that might need special attention. Non-speech audio analysis examines background music, sound effects, ambient sounds, and other audio elements that convey information but aren't speech. The tool describes these elements in detail, noting timing, quality, intensity, and purpose. It identifies moments where sound conveys important information that wouldn't be captured in basic transcription, such as emotional tone, environmental context, or narrative elements. The analysis suggests appropriate transcription formats, recommends descriptions for non-speech elements, identifies potential accessibility barriers, and provides specific recommendations for improvement. It considers different accessibility needs including hearing impairments, cognitive accessibility, and situations where audio-only content needs to be understood through text. You can specify particular accessibility concerns or requirements in the notes field for more targeted analysis.
Upload the clip and the audit answers three things: whether the speech is clear enough to transcribe reliably, which non-speech sounds (music, effects, ambience) carry meaning a deaf or hard-of-hearing audience would lose, and what barriers exist for listeners overall. You get concrete recommendations, not a vague pass or fail.
More than most creators expect. Information that exists only as sound (a door slam that signals an exit, a tone shift carried by music), speech too unclear to caption accurately, missing transcripts, and emotional context that plain text won't convey. The audit identifies which of these apply to your specific clip.
It suggests transcription for the speech and drafts descriptions of the sound effects and music worth noting, formatted as a starting point for your captions or show notes. For long content you'll still want a full transcription pass; this audit's job is identifying what needs describing and how, plus drafting it.
No. It's an editorial audit of one audio file, not a legal compliance certification. It tells you what a deaf or hard-of-hearing listener would miss and how to fix it, which covers the substance of captioning guidance, but formal WCAG conformance involves your whole player, page, and workflow, and needs a proper review.
Podcasters writing transcripts and show notes, video producers building caption files that include sound cues, course creators meeting institutional accessibility requirements, and developers checking notification or app audio. Anyone publishing audio where some of the meaning lives outside the spoken words.
Your specific requirement. Tell it you're producing captions for a video, a transcript for a podcast, or checking content for a course platform, and the recommendations match that format. If you have particular concerns (cognitive accessibility, non-native listeners, audio-only comprehension), naming them shifts the focus of the audit.
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