Voice and speech health screening tools
These tools give an AI reading of what a recording suggests about voice and speech. They are meant for self-monitoring, practice between appointments and preparing questions for a professional. They are not medical devices, and nothing here is a diagnosis or a substitute for a doctor, speech-language pathologist or therapist.
The vocal health tool describes signs such as hoarseness, breathiness and strain, and the voice fatigue detector looks for indicators of overuse, which can help teachers, singers and presenters notice when their voice needs rest. The stuttering assessment tool describes the types and frequency of disfluencies in a sample, and the speaking anxiety tool points to vocal signs of nervousness such as rushed pacing or shaky pitch.
The SLP assessment tool gives an overview of articulation, fluency and language features in a speech sample, which some clinicians and students use as a starting point for notes. AI Medical Transcription turns a recorded consultation or dictation into structured text for review.
Each tool returns a written report and 0 to 100 scores estimated by a multimodal AI model. Results change with microphone, room noise and how you feel that day, so compare recordings made the same way over time. If you notice hoarseness lasting more than a few weeks, pain, or sudden changes in speech, see a qualified clinician.
Healthcare tools
Medical Audio Analysis
Analyze medical audio recordings including patient interviews, consultations, and diagnostic audio
Speech Therapy Analysis
Analyze speech patterns for therapy purposes including articulation, fluency, and language development
Voice Fatigue Detector
Detect vocal strain, fatigue, and overuse indicators
Voice Health Analyzer
Comprehensive voice health assessment including vocal condition and wellness indicators
Stutter Pattern Analyzer
Analyze stuttering patterns, frequency, and speech fluency
Speech Anxiety Detector
Detect anxiety indicators in speech patterns and vocal characteristics
Frequently Asked Questions
Healthcare tools questions
Can an AI voice test diagnose a voice or speech disorder?
No. These tools describe patterns a model hears in a recording, such as roughness, strain or repeated sounds. They cannot examine your vocal folds or take a history, so they cannot diagnose anything. Use the report to track changes and to start a conversation with a doctor or speech-language pathologist.
Who are these tools for?
They suit people who use their voice heavily, such as teachers, singers and presenters, people practicing fluency or articulation between sessions, and students or clinicians who want a quick written description of a sample. They are support tools, not treatment.
How should I record to track my voice over time?
Use the same microphone, room and distance each time, and read the same short passage plus a sustained vowel. Record at a similar time of day. Consistent recordings make it easier to see whether a change in the scores reflects your voice rather than the setup.
Is medical transcription output ready for patient records?
Treat it as a draft. AI Medical Transcription produces structured text from a recording, but terms, doses and names can be misheard. A qualified person should review and correct it before it is used anywhere clinical. Follow your organization's rules for handling patient audio.