Speech recognition, text-to-speech, voice cloning, and AI music generation.
OpenAI's open-source speech recognition model — gold standard for ASR
Best open-source ASR model by far. 99 languages, timestamps, speaker diarization via community extensions. Self-host for free or use via API. Essential for any transcription pipeline.
Best-in-class text-to-speech with voice cloning and dubbing
Most natural-sounding TTS available. Voice cloning from 30 seconds of audio. Multilingual dubbing preserves emotion and cadence. API-first with generous free tier.
OpenAI's simple API for high-quality speech synthesis
Clean, natural-sounding voices with simple API. Six built-in voices. HD variant for highest quality. Best for developers wanting quick TTS integration without complexity.
Real-time speech-to-text API with sub-300ms latency
Fastest production ASR API — under 300ms latency for real-time use. Nova-2 model rivals Whisper quality. Best for live transcription, call centres, and real-time applications.
Transcription API with built-in audio intelligence features
Excellent transcription with audio intelligence layered on top — sentiment analysis, topic detection, PII redaction, summarization. Universal-2 model handles accents and noise well.
AI music generation from text prompts with full song structure
Generate full songs with vocals, instruments, and structure from text descriptions. Quality approaching amateur production. Game-changer for content creators, ads, and game audio.
AI music creation with fine-grained style and genre control
Best genre fidelity in AI music — excels at specific styles from jazz to electronic. Higher audio quality than competitors. Good for musicians wanting AI-assisted composition.
Open-source TTS model with emotions, music, and sound effects
Unique open-source TTS that generates speech with laughing, singing, and sound effects. Quality less consistent than ElevenLabs but fully self-hostable. Great for creative applications.
Lightweight 82M-parameter open-source text-to-speech model
Impressively natural speech from a tiny 82M model — runs on CPU. Good for edge deployment and resource-constrained environments. Quality approaching much larger models.
Open-source TTS toolkit for training and deploying custom voices
Most flexible open-source TTS toolkit. Train custom voices on your own data. XTTS model supports 16 languages with voice cloning. Best for teams needing fully custom voice solutions.
