Fastest Audio Generation
Models prioritised for speed when generating audio, suitable for rapid iteration and high-throughput production workflows. Useful when latency matters more than maximum output fidelity.
Best rated
by Fish Audio
Fish Audio S2.1 Pro is a flagship text-to-speech model built for highly expressive, low-latency speech generation. It supports natural-language bracket cues for emotion and delivery control, multi-speaker dialogue in a single generation, 80+ languages with automatic language detection, and realtime streaming with very fast time to first audio.
Featured Models
Top-performing models in this category, recommended by our community and performance benchmarks.
by Inworld AI
Inworld Realtime TTS-2 is a conversational text-to-speech model built for realtime voice interaction rather than static narration. It supports free-form voice direction, carries tone and pacing forward from prior audio in a session, preserves one voice identity across 100+ languages, and is designed for expressive, low-latency speech in assistants, characters, support agents, and interactive products.
ACE-Step v1.5 XL Turbo is the accelerated 4B DiT variant of ACE-Step 1.5. It is optimized for faster music generation with 8-step distilled inference while retaining the higher-capacity XL architecture. It supports text-to-music, cover generation, and repaint workflows, making it suitable for rapid iteration when the 2B turbo model is not enough in audio quality.
by MiniMax
MiniMax Music 2.6 is MiniMax’s latest music generation model for full vocal songs and instrumentals from text prompts. It supports natural-language prompts or detailed production-style instructions, follows specified BPM and key with high reliability, and exposes fine-grained song structure control through section tags. The same Music API also supports instrumental generation, lyrics-assisted workflows, and synchronous or streaming delivery.
ACE-Step v1.5 Turbo is a speed-optimized variant of the ACE-Step v1.5 music generation model. It delivers faster inference with fewer denoising steps while retaining the core capabilities of the Base model, including voice cloning, lyric editing, remixing, and multilingual support across 50+ languages.
by Inworld AI
Inworld TTS-1.5 Mini is a lightweight text-to-speech model designed for real-time voice experiences with ultra-low latency and efficient performance. It delivers natural, expressive audio suitable for interactive agents, voice assistants, and conversational applications where responsiveness is critical. The Mini variant balances speed and quality, enabling responsive speech output even under constrained compute conditions.
Dia 1.6B is a 1.6 billion parameter text-to-speech model from Nari Labs that generates realistic dialogue from transcripts in a single pass. It supports multi-speaker generation via speaker tags, voice cloning from 5-10 seconds of reference audio, and non-verbal cues like laughter, sighs, coughs, and throat clearing. English only. Released under Apache 2.0 for commercial use.