1,300+ voices across Telnyx-hosted, provider, and custom models through one API. Switch voices without rebuilding your application.
Enter text, choose a voice, adjust speed, and hear Telnyx text-to-speech output across models in the same workflow.
One TTS API for voice synthesis, streaming, custom voices, and speech controls across all providers.
3,900+ voices across 80+ languages
Access voices across Telnyx, provider, and custom models in 80+ languages. Switch through configuration instead of rebuilding around a new provider.
Streaming and in-call playback
Stream audio chunks for real-time responses, generate through REST, or play TTS directly in Voice API and TeXML call flows.
OpenAI SDK compatibility
Use the REST TTS API with OpenAI-compatible client patterns when that is the fastest path for your team.
Custom voice creation and dubbing
Design synthetic voices, clone from reference audio, or support dubbing workflows in production.
Pronunciation control
Use pronunciation dictionaries and voice settings to tune how product names, customer names, and domain terms are spoken.
Emotion and expression control
Use SSML, inline speech tags, and emotion markers to direct delivery, tone, and vocal effects across supported providers like xAI Grok, Fish Audio, and Telnyx Ultra.
Compare Telnyx native voices, xAI Grok TTS, AWS Polly, Azure Speech, ElevenLabs, MiniMax, MurfAI, Resemble AI, Inworld, and Qwen3TTS through one Text-to-Speech API.
KokoroTTS, Qwen3TTS, Ultra, and Grok options for live calls, voice AI agents, and REST text-to-speech.
Expressive multilingual voices with speech tags for pauses, laughter, whispering, emphasis, pitch, pace, and intensity.
Use AWS Polly standard, neural, generative, and long-form voices through Telnyx text-to-speech requests.
Use Microsoft Azure neural voices with SSML support and voice format strings through the Telnyx TTS API.
Relay ElevenLabs voices through Telnyx with provider settings for model ID, language code, stability, style, and speaker boost.
Use streamed MiniMax voices with speed, volume, pitch, language emphasis, and custom voice support.
Use MurfAI Falcon voices with configurable pitch, rate, format, and sample rate through Telnyx provider settings.
Use Resemble Turbo voices with streamed synthesis, MP3 or WAV output, and precision controls.
Choose Inworld Mini for speed or Inworld Max for higher quality voices through the Telnyx TTS API.
Create organization-scoped custom voices in Voice Design Lab and use Qwen3TTS voices through Telnyx.
Create lifelike AI voices with Fish Audio's advanced speech synthesis models through Telnyx.
Most TTS providers stop at audio generation. Telnyx connects text-to-speech to calls, AI agents, and IVRs while keeping model choice behind one API.
One API for every voice and provider
Use one API key, one bill, and one support motion for Telnyx voices, provider models, and custom voices. Switch models through configuration instead of rebuilding your application around each vendor.
Speech inside calls, agents, and IVRs
Telnyx connects TTS to Voice API, TeXML, and Voice AI workflows, so generated speech is part of the call flow instead of a separate audio service.
Run voices on Telnyx infrastructure
For select Telnyx-run models, speech generation stays on Telnyx infrastructure instead of calling a separate TTS vendor first.
Pay-as-you-go from your first call
Start at $3 per million characters with no seat fees, no annual commits, and no separate provider contracts. Pricing stays linear as you scale.
Global infrastructure and low latency
Run TTS close to your callers across Telnyx's global anchor sites, reducing round-trip time for real-time voice applications.
Compliance and data residency
Store call recordings, transcripts, and AI data in your preferred region, with US, EU, AUS, and UAE data residency available for voice workloads.
Read examples from teams using Telnyx for voice AI agents, live calls, contact centers, and global voice apps. These stories show the same requirements that matter for Text-to-Speech API deployments: voice quality, latency, one API, and fewer provider integrations.
"The feedback has been very positive, especially around the quality of the AI interaction." David Ansehl Jr., VP of Sales and Marketing. Reinvent built MyCloud AI Receptionist with voice personas and natural pacing.
"This thing responds so fast." Vincent Sajkowski, CEO and co-founder. Ultradoc chose Telnyx after testing stacks that sent calls across separate vendors.
"We're able to get latency down to the level we want with Telnyx." Ben Gleitzman, CTO. Replicant uses Telnyx for conversational AI where slow responses make calls feel unnatural.

"We wanted a hands-off solution where we didn't have to worry about the base layer." Kaushal Subedi, co-founder and CEO.
"We're able to get coverage all over the world through one API and one point of contact." Dayton Turner, VP of Enterprise Product.
Send text with a voice ID, then receive generated speech over REST, WebSocket streaming, or a live call flow.
Generate speech from text with the TTS API
curl --request POST \
--url https://api.telnyx.com/v2/text-to-speech \
--header "Authorization: Bearer $TELNYX_API_KEY" \
--header "Content-Type: application/json" \
--data '{
"text": "Your order is ready for pickup.",
"voice": "Telnyx.Ultra.01eaafa9-308a-4276-a017-6ab0cf061b1f"
}'Telnyx TTS starts at $3 per 1 million characters. Pricing varies by model, with volume discounts available for larger deployments.
Starting at
$3.00
Starting cost per 1 million charactersStart with the voice that fits your first use case, then keep room to switch as quality, speed, language, and cost requirements change.
Start with the voice that fits your first use case, then keep room to switch as quality, speed, language, and cost requirements change.
A text-to-speech API gateway gives developers one API surface for multiple TTS engines, voices, and delivery paths. Telnyx acts as that gateway for Telnyx voices, supported provider models, custom voices, REST generation, WebSocket streaming, and in-call playback.
Telnyx supports native voice models and supported provider models. Current docs include KokoroTTS, Qwen3TTS, Ultra, and Grok, plus AWS Polly, Azure Speech, ElevenLabs, MiniMax, MurfAI, Resemble, and Inworld. Availability varies by interface, model, region, and account setup.
Choose based on the use case. Naturalness, latency, accent quality, language coverage, expressive controls, and price are all valid reasons to pick different models for different speech experiences.
Yes. Telnyx supports REST generation, WebSocket streaming, and in-call playback through Voice API and TeXML. That lets teams use TTS in live calls, AI agents, IVRs, apps, and other communication workflows.
Yes. Telnyx supports real-time text-to-speech through WebSocket streaming and in-call playback. Telnyx Ultra is documented for very low latency over REST, while other models vary by provider path, region, audio format, and endpoint. Test the full call or app flow before choosing a production voice.
Telnyx runs select voice models on Telnyx infrastructure. Other supported provider models process requests on provider infrastructure. Teams with data residency or routing requirements should confirm the model path, region, and interface before production rollout.
Telnyx publishes SOC 2 Type II, ISO 27001, PCI DSS, and GDPR compliance information through its Trust and Security resources. Compliance requirements still depend on the exact product workflow, model route, data type, and customer configuration, so regulated deployments should confirm the supported path before launch.
Telnyx gives teams one API surface for multiple supported TTS models, which can make fallback planning easier. Teams should test fallback voices, model behavior, regions, and provider behavior before treating any model as production failover.
Telnyx TTS starts at $3 per 1 million characters. Pricing varies by model, with volume discounts available for larger deployments. Telnyx does not charge per-seat fees for using the TTS API.
Yes. Voice Design Lab lets teams generate a new voice from a prompt, clone a voice from audio, or use custom voices in dubbing workflows. The current API supports Qwen3TTS (via the Telnyx provider) and MiniMax for custom voice creation and cloning. Additional provider integrations ship as they are wired in. Once the voice exists, usage is charged like that provider or model's normal voice usage.
Yes, with model-specific support. AWS Polly and Azure Speech support SSML paths, Ultra supports emotion controls, xAI Grok supports expressive speech tags, and other providers expose their own speed, pitch, volume, or style settings. Check the model docs before relying on a specific control in production.
Telnyx offers access to 3,900+ voices across 80+ languages through its broader TTS library. Voice availability, regional accents, and language support vary by engine, so production teams can choose the model that fits each experience.
Yes. Telnyx TTS supports multilingual speech experiences across supported models, with 80+ languages available in the broader voice library. Teams can choose voices by language, regional accent, model behavior, and cost requirements.
Yes. Telnyx lets developers switch supported TTS engines through the voice or provider configuration instead of rebuilding the application around a new provider. This is useful when teams need to tune for speed, quality, language support, or cost after launch.
Calling a provider directly can lock an application to that provider's models, pricing, controls, and integration pattern. Telnyx gives teams one TTS API for multiple supported models, custom voices, REST generation, WebSocket streaming, and in-call playback, so teams can change voices through configuration or API changes.
Standalone TTS providers focus on voice generation. Orchestration tools focus on routing between services. Telnyx combines TTS model choice with Voice API, TeXML, AI agents, STT, phone numbers, and communications infrastructure, so generated speech can be part of the live voice stack.
No. One Telnyx relationship covers the supported voices and models accessed through the Telnyx TTS API. Teams can manage the speech layer through one API key, one bill, and one support motion instead of separate provider contracts.