Realtime voice, speech, and language-model infrastructure for consumer applications.
Inworld AI provides developer APIs for speech generation, transcription, realtime voice conversations, and language-model routing. Use the services individually or combine speech input, a chosen language model, and synthesized output in a live conversation. The platform serves applications such as language practice, interactive characters, companions, and voice support.
Start with an Inworld account and the relevant Voice or Inference quickstart, then configure credentials, models, and application behavior. Production use needs attention to usage costs, request and connection limits, permitted data handling, and the quality of generated responses. Voice synthesis and inferred speech-profile signals do not establish that an answer or a personal characteristic is correct.
Stream generated speech with pronunciation, timing, and voice controls. TTS-2 supports inline voice-direction instructions, while available controls depend on the chosen model; advertised latency is not an end-to-end application guarantee.
Transcribe live audio through bidirectional WebSocket streaming or use synchronous transcription for files. Voice-profile outputs include inferred signals such as pitch, style, emotion, age, and accent; treat those estimates as model outputs rather than verified personal facts.
Combine speech input, a language model, and speech output in a live session. Realtime controls include turn taking, tool calling, provider selection, and context management; configure and test them for the intended client and workflow.
Access multiple language models through a routing interface, with controls for model selection and fallback behavior. Choose models around the application’s requirements and provider terms; a shared interface does not make model results uniformly accurate.
Create a voice from reference audio or describe a voice in text. Use voices and recordings for which you have appropriate permission, and check the selected model and plan’s cloning and language support.
Add spoken practice and character voices to language-learning applications. Test pronunciation, supported languages, and the underlying teaching responses rather than assuming speech quality proves educational correctness.
Consumer applications can build voice-led interactions by pairing a persistent speech session with a selected language model and synthesized voice.
Generate character dialogue and spoken media with suitable voice controls and timing outputs. Check the chosen model’s available timestamp format and the project’s voice permissions before integrating playback.
Combine realtime transcription, a selected LLM, and synthesized responses for a support or phone-agent workflow. Configure permitted tool actions, escalation behavior, and response checks before allowing an agent to act for a user.
Application teams can route requests among external and hosted LLMs to match model choice to a particular user interaction or deployment requirement.
Yes. The Realtime API combines speech input and output with a selected language model in a live session. It offers turn-taking, tool-calling, provider, and context controls. Client connections and available behaviors need configuration and testing.
Create an Inworld platform account and follow the Voice or Inference quickstart in the developer documentation. Create credentials with the required permissions. Keep API keys out of browser or mobile client code; use a backend or the appropriate short-lived client token.
No. Check the selected model’s language, cloning, timing, and steering support. For example, the pricing table limits voice steering to Realtime TTS-2. Do not assume every model or plan provides an identical voice workflow.
No. Emotion, age, accent, pitch, and style signals are inferred model outputs. Review their suitability and the relevant data permissions before using them, especially where a mistaken inference could affect a person.
Paid plans provide a credit balance that is deducted at the plan’s metered rates; LLM usage is billed at provider cost. Limits and entitlements vary. On-Demand includes a finite free evaluation allowance, not unlimited ongoing speech. Check top-up or auto-reload settings and billing-period conditions.
No. Zero data retention and regulated-workload options are listed as plan-specific add-ons, while enterprise terms can include additional data-region and access arrangements. Confirm the selected agreement and relevant provider requirements before sending sensitive data.
Os dados de tráfego são apenas para referência.
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