The World's First AI-
Powered Speech Therapy
App For Stuttering,
Analysis, And Personalized
Treatment
Explore our ground-breaking speech impediment diagnostic and treatment tools using advanced Large Language Models.
Simple Process, Powerful Results
Our AI-powered platform uses cutting-edge technology to provide accurate stuttering analysis and effective therapy recommendations
Record Your Speech
Upload or record your speech sample. Our system accepts audio in multiple formats and languages, with special support for Hindi and English.
AI Analysis
Our advanced Large Language Models (LLMs) and machine learning algorithms analyze your speech patterns, identifying specific types of stuttering, frequency, and severity.
Pattern Recognition
The AI identifies different stuttering patterns including repetitions, prolongations, blocks, and interjections, creating a detailed stuttering profile.
Personalized Exercises
Based on your unique pattern analysis, receive customized speech therapy exercises designed to target your specific stuttering type and improve fluency.
Powered by Whisper, LLMs, and RAG
HindiGap leverages state-of-the-art models including Whisper for STT, advanced LLMs for analysis, and Retrieval-Augmented Generation to provide clinical-grade therapy advice.
LLMs for Disfluency Analysis
Our core analysis engine relies on powerful Large Language Models fine-tuned to identify repetitions, prolongations, blocks, and interjections with clinical precision.
Whisper for Speech-to-Text (STT)
We utilize highly accurate Whisper models customized for regional dialects to ensure flawless transcription of speech, even amidst complex stuttering patterns.
RAG for Therapy Advice
We use Retrieval-Augmented Generation (RAG) drawing from established clinical databases to surface highly personalized, evidence-based therapy exercises instantly.
Real-Time Processing
Get instant feedback on your speech patterns as you speak or record, with results in seconds.
Continuous Learning
The AI improves over time, learning from each analysis to provide better recommendations.
Privacy & Security
All audio processing is secure, and your data is protected with enterprise-grade encryption.
Types of Stuttering Patterns
Our advanced AI detects and categorizes the four primary types of stuttering patterns to provide targeted, effective therapy exercises.
Repetitions
Repeating sounds, syllables, or words
Common Examples:
- Sound: 's-s-s-sun'
- Syllable: 'ba-ba-baby'
- Word: 'I-I-I want'
Prolongations
Stretching or lengthening sounds
Common Examples:
- 'Sssssun' (extended 's' sound)
- 'Mmmmother' (extended 'm')
- 'Aaaapple' (extended 'a')
Blocks
Complete stoppage of airflow or sound
Common Examples:
- Silent pause before word
- Visible struggle to produce sound
- Tension in speech muscles
Interjections
Extra sounds or words used to avoid stuttering
Common Examples:
- 'Um', 'uh', 'like'
- 'You know', 'well'
- Unnecessary word repetitions
How Our AI Identifies These Patterns
- • Analyzes sound wave interruptions
- • Measures pauses in milliseconds
- • Evaluates rhythm and flow naturally
- • Differentiates between normal pauses
- • Compares against vast fluency databases
- • Continually improves through active usage
Personalized Therapy Exercises
Based on your unique stuttering profile, our AI recommends specifically tailored exercises designed to address your specific challenges and improve fluency.
Breathing Exercises
Diaphragmatic Breathing
Focus on breathing for control.
Paced Breathing
Reduce speaking rate during repetitions.
Airflow Management
Ensure continuous airflow during blocks.
Fluency Shaping
Light Contacts
Reduce tension on hard consonants.
Continuous Phonation
Keeping the vocal cords vibrating smoothly.
Easy Onset / Easy Starts
Ease into words with a soft start.
Auditory Processing
Delayed Auditory Feedback
Focus on the physical sensation.
Masking
Mask the sound of speech with white noise.
Choral Reading
Reading out loud in unison with another speaker.
Speech Modification
Voluntary Stuttering
Maintain control during moments of stuttering.
Cancellations
Pause after a stutter, and then say the word again.
Pull-Outs
Slowly 'pull out' the sound of a stutter when speaking.
Progress Tracking
Monitor your frequency and duration tracking logs seamlessly over time.
Adaptive Difficulty
The AI continually adjusts the complexity of exercises to match your fluency level.
Daily Goal Setting
Consistent, manageable exercises designed specifically to reinforce neural pathways daily.
Why Choose HindiGap?
Our unique combination of modern AI techniques and clinical speech therapy routines.
High Accuracy Level
Advanced AI models capable of evaluating multi-dialect data with extremely high confidence.
Evidence-Based
All exercises and recommendations are rooted directly in established, peer-reviewed clinical data.
Accessible Anytime
Skip the waiting rooms. Engage in personalized therapy from the comfort of your smartphone privately.
Local Dialects
Specifically trained on Hindi and Indian-English accents to prevent false positive identifications.
Meet the Founder
Rakesh Saini
Software Developer & Founder
As a software developer, I founded HindiGap to bridge the gap between clinical speech therapy and modern AI technology. Our goal is to leverage cutting-edge tech like Whisper and LLMs to make high-quality, personalized speech analysis accessible to everyone, natively in regional dialects. We are committed to building a robust and scalable platform that drives real clinical value.
Join the Beta Waitlist
Sign up to get early access to HindiGap. Enter your details below or email us directly at contact@hindigap.com or rakesh@hindigap.com.
Latest Articles & Resources
Read our latest insights on speech therapy, stuttering solutions, and how AI is changing the landscape of fluency.
