MIT Digital v2.0 - Studio Quality 48kHz Released

The Tokenizer-Free
Voice AI Frontier

Generate highly natural, context-aware speech and achieve instant zero-shot voice cloning from just a few seconds of audio. Powered by OpenBMB.

Voice Generation Studio

Experiment with continuous speech synthesis, instant voice cloning, and text-based voice generation.

Drag & drop your reference audio or browse files

WAV, MP3, or M4A (Best results with 3 to 10 seconds of clear speech)

Studio Ready
48kHz High-Fidelity

Synthesizing acoustic layers...

Liam

Deep, warm, and highly engaging narration tone.

00:00 / 00:12

API Developer Console

Deploy continuous tokenizer-free text-to-speech models straight into your applications with our studio SDK.

Integration Dashboard

Monthly Requests 48,290 +12% vs last month
Average Latency 120ms Sub-second synthesis
Real-time Inference Request Load

API Reference

import requests

url = "https://api.mitdigital.ai/v1/speech"
headers = {
    "Authorization": "Bearer mitdigital_live_8f3d10...",
    "Content-Type": "application/json"
}
data = {
    "text": "MIT Digital models direct acoustic speech layers.",
    "voice": "liam",
    "emotion": "happy",
    "speed": 1.0,
    "pitch": 1.0
}

response = requests.post(url, headers=headers, json=data)
with open("output.wav", "wb") as f:
    f.write(response.content)
const fs = require('fs');
const fetch = require('node-fetch');

const generateSpeech = async () => {
  const res = await fetch('https://api.mitdigital.ai/v1/speech', {
    method: 'POST',
    headers: {
      'Authorization': 'Bearer mitdigital_live_8f3d10...',
      'Content-Type': 'application/json'
    },
    body: JSON.stringify({
      text: 'MIT Digital models direct acoustic speech layers.',
      voice: 'liam',
      emotion: 'happy'
    })
  });
  const buffer = await res.buffer();
  fs.writeFileSync('output.wav', buffer);
};
curl -X POST https://api.mitdigital.ai/v1/speech \
  -H "Authorization: Bearer mitdigital_live_8f3d10..." \
  -H "Content-Type: application/json" \
  -d '{
    "text": "MIT Digital models direct acoustic speech layers.",
    "voice": "liam"
  }' \
  --output output.wav

Access Models

Deploy MIT Digital on your local hardware or leverage our ultra-low latency serverless cloud APIs.

Self-Hosted

$ 0 / forever

Apache-2.0 License. Deploy model weights locally on consumer NVIDIA/Apple hardware.

  • 100% Free for commercial use
  • Full access to model weights
  • Zero-shot voice cloning weights
  • Run fully offline
Download on GitHub

Enterprise

Custom

For large scaling needs, dedicated hardware provisioning, private SLAs, and security controls.

  • Unlimited characters
  • Dedicated isolated GPU nodes
  • HIPAA & GDPR compliance
  • 24/7 Priority support hotline