Master English dialects with AI-powered real-time accent correction.
Students learning English via AI tools face inaccurate dialect recognition, especially for non-standard variants, hindering effective practice.
DialectFix uses advanced speech recognition fine-tuned for non-standard English dialects to analyze user speech and provide instant feedback on pronunciation, slang usage, and regional quirks. Students practice conversations with tailored corrections that improve accuracy over time. It tracks progress across sessions, helping users build confidence in diverse English variants.
English language students using AI apps who speak or encounter non-standard dialects like regional accents or slang-heavy variants.
Exclusive focus on 50+ non-standard dialects with user-submitted audio data for continuous model improvement.
supportive
Uploads audio or live mic input to detect dialect inaccuracies and suggest fixes.
Choose from regional accents like Southern US, Indian English, or Nigerian Pidgin.
Visual charts of accuracy scores over time per dialect.
Daily dialect-specific conversation starters.
Save and review past corrections with audio replays.
Users contribute audio samples to train personal models.
Export progress PDFs for teachers.
Seamless WebRTC for browser-based live recording.
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| dialect_preference | text | Yes |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| audio_url | text | Yes |
| accuracy_score | int | No |
| dialect | text | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| session_id | uuid | No |
| correction_text | text | No |
| audio_clip_url | text | Yes |
Relationships:
/api/sessionsCreate new practice session with audio analysis
/api/sessions/:idFetch session details and feedback
/api/users/progressGet user's progress stats
/api/dialectsList available dialects
No custom uploads
5 users min
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 200 | 2% | $128 | $1,536 |
| Month 6 | 1,500 | 4% | $1,920 | $23,040 |
AI detects regional accents and slang, giving personalized feedback to speak fluently anywhere.
Post in r/languagelearning and ESL Facebook groups with a free beta invite link. DM 10 English teachers on LinkedIn offering free Pro access for reviews. Run $50 Reddit ads targeting 'English accent practice'.
Pronunciation focus
Limited dialect support
Deep non-standard dialect coverage
Human feedback
Slow, no real-time AI
Instant AI dialect analysis
User-contributed dialect audio dataset creates a flywheel for superior model accuracy.
Explosion of AI speech tools like Whisper, combined with global migration increasing dialect diversity needs.
Speech API accuracy varies
Fallback to multiple APIs and user feedback loop
Low awareness of dialect pain
Targeted SEO and communities
Build delays on audio
Use pre-built WebRTC libs
Success: 70% confirm issue
Success: 50% retention week 2
Success: 500 signups
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