InPronunci vs Lingova

InPronunci is an American accent-training app covering pronunciation, intonation, rhythm, and connected speech. Its interactive 2D video simulators show speech-organ movements to guide practice with American consonants and vowels. An AI Accent Coach evaluates the same four areas as learners practice, while linguist-guided instructions explain the focus and practice approach for each lesson. Coach vs. My Pronunci lets learners compare the coach’s pronunciation with their own recording. The curriculum progresses through speech-organs education, American consonants, American vowels, and intonation and emphasis. The main consonant and vowel path is described as 25 core sound-training sessions and 400 structured lessons; the mobile listing also describes 2,000+ speaking drills, 44+ sound-video instructions, and 30+ sound interactions. It is available on Android, iOS, and web. Chapter 1 costs nothing. Basic costs $35 a month, and Premium costs $200 a month and includes full app access and one monthly 1-on-1 session with Prof. Alex, Ph.D. Accent Coach. The privacy policy says voice recordings may be collected and AI input, output, and personal information may be shared with third-party providers.

Lingova is an AI-powered English pronunciation coach that listens to speech and identifies sounds to improve. Learners can type or paste a sentence, say it aloud, and receive accuracy scores for individual words. The website describes 30+ real-world conversation scenarios with an AI tutor; tapping a message reveals a pronunciation breakdown by word and sound. The App Store listing describes CEFR placement from A1 to C2, 40+ conversation lessons, shadowing practice, structured courses, and progress tracking. It also describes weekly community chats, study-buddy matching and messaging, and pronunciation challenges. Lingova is presented for English learners from beginner to advanced, including people preparing for travel or job interviews. It is available on Android, iOS, and macOS. Its privacy policy says voice recordings, transcripts, pronunciation analysis, and AI feedback are collected for personalized learning. Anonymized and aggregated voice data may be used for model training, with an opt-out. The policy lists TLS 1.3 in transit and AES-256 at rest, and says users can request deletion of recordings.