Check audio accessibility and get transcription suggestions. Describe sound effects/music and identify potential barriers or improvements for inclusivity.
Upload or record audio to analyze
Select the AI model for audio analysis. Different models may have different capabilities.
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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.
Analyze speaker characteristics and presentation skills. Evaluate speaking style, clarity, pace, articulation, tone, and engagement for overall effectiveness.
Analyze emotional content and mood in audio. Identifies emotional tone, intensity, and mood shifts in voice or music for content creation or communication analysis.
Identify and classify accents and regional speech patterns. Notes pronunciation, dialect influences, and accent strength. Useful for language learners and coaches.
Estimate speaker's age range based on vocal characteristics. Considers pitch, timbre, articulation, speech rate, and stability. Provides analysis reasoning.
Analyze gender expression characteristics in voice. Considers pitch range, resonance, speech patterns, and intonation across the spectrum. Notes distinctive qualities.
Analyze voice pitch, tone, and resonance depth. Evaluates fundamental frequency, resonance, chest/head balance, and overall tonal depth for richness analysis.