Models/Collections/Fastest Audio Generation

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.

Models

Conversational text-to-speech with realtime voice direction and audio-aware delivery

$0.000035/ character
Run

Flagship multilingual text-to-speech with natural language voice control and realtime streaming

$0.000015/ UTF-8 byte
Run

Faster HeyGen text-to-speech with public voices and instant voice cloning

$0.000004/ character
Run

High-quality multilingual text-to-speech with voice cloning and ultra-low latency

$0.000015/ character
Run

Low-latency expressive text-to-speech optimized for real-time apps

$0.000025/ character
Run

Fast 4B music generation model with 8-step inference for higher-quality rapid iteration

$0.0009/ requestDuration 60 · steps 8
Run

Streaming dialogue TTS with voice cloning, non-verbal cues, and multi-speaker support

$0.0057/ request10 words
Run

Model guides

Inworld Realtime TTS-2

Formatting LLM output for speech

How to write LLM system prompts that produce text TTS-2 can synthesize naturally, with normalization, filler words, and emphasis cues handled before the audio call.

Read the guide →Inworld Realtime TTS-2

Controlling voice delivery with steering tags

How to use natural-language steering tags to control emotion, pacing, volume, and vocal style in TTS-2 speech output.

Read the guide →Fish Audio S2.1 Pro

Emotion and expression control

How to control vocal delivery in Fish Audio S2-Pro with bracket tags. The tag system steers emotion, expression, paralanguage, and phoneme-level pronunciation in one inline syntax.

Read the guide →Fish Audio S2.1 Pro

Multi-speaker dialogue

How to generate two-speaker dialogue audio in a single request to Fish Audio S2-Pro using inline speaker tags. One call, two voices, full per-speaker emotion control.

Read the guide →