IntuneLabs
IntuneLabs

IntuneLabs Documentation

Explore our docs and guides to integrate IntuneLabs

How IntuneLabs works

IntuneLabs provides AI voice infrastructure: text-to-speech, speech-to-text, voice cloning, conversational agents, and generative audio. You can use it in four ways, suited to different audiences.

IntuneCreative is a no-code web application where creators, producers, and editors generate voiceovers, music, dubs, and studio projects directly in the browser.

IntuneAgents is the platform for designing and operating conversational voice agents, with a visual builder for non-technical users and full programmatic control for developers.

IntuneAPI exposes every capability as a REST interface with official Python and TypeScript SDKs, so developers can embed voice into their own applications and workflows.

Reception AI is a ready-to-deploy AI phone receptionist for small and medium businesses that answers calls, books appointments, and manages day-to-day operations from a single dashboard.

Concepts

Voices are the speech persona used in audio generation. Each voice has a unique ID — for example, JBFqnCBsd6RMkjVDRZzb — that you select in the dashboard or pass in API requests. IntuneLabs maintains a library of 10,000+ voices. You can also clone a voice from an audio recording or generate one from a text description.

Models control the quality, latency, and language coverage of generated audio. intune_v3 produces the most expressive output across 70+ languages. intune_flash_v2_5 targets real-time use at ~75ms latency. Each capability — speech-to-text, music, sound effects — has its own dedicated model.

Credits are the unit of consumption shared across every product. Text-to-speech costs one credit per character of input text. Other operations are charged per second of audio processed. Credits reset monthly and unused credits roll over for up to two months. See pricing for a full breakdown.

Choose your path

Meet the models

Intune v3

Our most emotionally rich, expressive speech synthesis model

  • Dramatic delivery and performance
  • 70+ languages supported
  • 5,000 character limit
  • Support for natural multi-speaker dialogue

Intune Multilingual v2

Lifelike, consistent quality speech synthesis model

  • Natural-sounding output
  • 29 languages supported
  • 10,000 character limit
  • Most stable on long-form generations

Intune Flash v2.5

Our fast, affordable speech synthesis model

  • Ultra-low latency (~75ms†)
  • 32 languages supported
  • 40,000 character limit
  • Faster model, 50% lower price per character for API generations

Scribe v2

State-of-the-art speech recognition model

  • Accurate transcription in 90+ languages
  • Keyterm prompting, up to 1000 terms
  • Entity detection, up to 56
  • Precise word-level timestamps
  • Speaker diarization, up to 32 speakers
  • Dynamic audio tagging
  • Smart language detection

Scribe v2 Realtime

Real-time speech recognition model

  • Accurate transcription in 90+ languages
  • Real-time transcription
  • Low latency (~150ms†)
  • Precise word-level timestamps
Explore all

† Excluding application & network latency

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