Best realtime text-to-speech in the world.

Money where our mouth is. Simba 3.2 just tied for 2nd on Voice Arena — and #1 isn't realtime, so if you're streaming this is as good as it gets. $6 per million characters. The flagship we tied with charges $50. Type anything, hear both, pick the voice that wins your ear.

170/500
Voice A
Waiting for your prompt
Voice B
Waiting for your prompt

Two voices will land here — ours and one of the flagships we beat

Featured Model

Simba 3.0

Our flagship streaming-native model. Lower time-to-first-byte than previous generations, with finer-grained emotional control, zero-shot voice cloning, and SSML prosody. Language coverage is expanding.

Streaming-native architecture Emotional expression Zero-shot voice cloning SSML prosody control

“Every moment of light and dark is a miracle.”

Technology

Reference
Clone

Zero-Shot Voice Cloning

Clone any voice from a short reference clip. Simba captures speaker identity — timbre, cadence, and micro-expressions — from as little as 10 seconds of audio.

Neutral
Happy
Sad
Excited
Calm

Emotion Control

Generate the same text with different emotional expressions. Simba models emotion at the prosody level — not just speed and pitch, but the subtle rhythmic and tonal patterns that convey feeling.

en-US
es-MX
fr-FR
de-DE
ja-JP
pt-BR

Multilingual Synthesis

Native-quality speech across 30+ locales. Each language uses voices recorded in that locale for natural pronunciation and prosody, with mixed-language input handled automatically.

Build with our models

A single API to access all SpeechifyAI models. Streaming, voice cloning, emotion control — everything in a few lines of code.

bash
curl -X POST https://api.speechify.ai/v1/audio/speech \
  -H "Authorization: Bearer $SPEECHIFY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "input": "Hello, world.",
    "voice_id": "george",
    "audio_format": "mp3"
  }'

SpeechifyAI is building the future of voice

We're a research lab focused on speech synthesis, voice understanding, and audio intelligence. Our work spans fundamental research in neural speech generation, zero-shot voice cloning, and emotional expression modeling — turning the nuances of human speech into something machines can learn and reproduce.