Foundational Voice AI

Voice AI
Built for AI Agents

Low-latency speech synthesis designed for AI agents, providing cost-efficient performance for real-time voice interactions.

Tontaube V0 · Now Available

Hear It For Yourself

Test our V0 model, designed for low latency and cost efficiency. Type your text below to generate an audio sample.

Enter Text

Tontaube V0 is a foundational voice AI model. Improved versions are coming to the app and API soon.

Early experiments showing significant efficiency gains over industry-standard approaches.

Build with Tontaube

A high-speed, cost-efficient voice generation API powered by our architecture. Clone any voice from a single audio file and generate long-form speech at 10× real-time speed.

  • 200,000 free characters on sign-up
  • $5 per million characters
  • English · more languages coming soon
  • Pay-as-you-go with enterprise plans
  • Custom voices (coming soon)
  • ~200ms latency for enterprise customers
Go to API Platform
Python
Available on PyPI
import tontaube

with tontaube.Client(api_key="ttb_live_...") as client:
    speakers = client.list_speakers()
    for speaker in speakers:
        print(f"{speaker.name} ({speaker.voice_style}), id: {speaker.id}")

    response = client.generate_speech(
        text="I am here to help you with your project. Tell me what we are building today, and I will get right to work.",
        speaker_id=speakers[0].id,
        temperature=0.8,
    )

with open("speech.wav", "wb") as f:
    f.write(response.content)

print(f"Duration: {response.audio_duration}s, Cost: ${response.cost_usd}")
print("Result saved to speech.wav")
Available Now

Tontaube for iOS & Android

Our audiobook and voice cloning app — already in the hands of thousands of listeners. Convert any document to audio, clone your voice, and stream from a public domain library.

  • PDF, EPUB & document conversion
  • Free voice cloning
  • 30,000+ AI audiobooks
Full product overview

Interested in Investing?

We've proven the architecture at prototype scale and are seeking investment to scale compute, data, and the team.