Spanish
TTS Voices

Spanish text-to-speech voices with true syllable timing

TelnyxInWorldMiniMaxRimeAzureAWS
Top 7 TTS for Spanish
NameProvider
em_alextelnyx
Thoughtful Ladyminimax
Agustin - Clear Storytellertelnyx
larkrime
Margaritaazure
Lupeaws
Diegoinworld
[ VOICE AI PLATFORM ]

From text to talk.
Pick your path.

Call our TTS & STT endpoints directly, wire voice into LiveKit rooms with one plug-in, or spin up an AI assistant on a real phone number.

TTS & STT Endpoints

Production-grade streaming and batch TTS/STT. Low latency, 50+ languages, customizable voices, and SDKs for Node/Python/Browser.

  • Streaming for live apps
  • Multi-speaker diarization & punctuation
  • SDKs, code samples, and latency benchmarks
TTS — CURL
$ curl -X POST \
".../v1/tts" \
-H "Authorization: Bearer $API_KEY" \
-d '{
"voice": "alloy_female_v1",
"language": "en-US",
"format": "mp3",
"text": "Hello, welcome..."
} ' --output speech.mp3

Sends text to the TTS endpoint and saves the synthesized audio as an MP3 file.

View TTS docs →

LiveKit Plug-in

Plug our real-time speech pipeline into LiveKit rooms — transcribe live sessions, synthesize responses and stream audio back into the room.

  • One-line install, example room demo
  • WebRTC + server bridge patterns
  • Works in browser & mobile
LIVEKIT — NODE.JS
import { Room } from "livekit-client";
import { TelnyxSpeechPlugin }
from "@telnyx/livekit-plugin";
const room = new Room();
await room.connect(URL, token);
const plugin = new TelnyxSpeechPlugin({
apiKey: process.env.TELNYX_API_KEY,
voice: "alloy_female_v1",
});
plugin.attach(room);

Connects to a LiveKit room and attaches real-time TTS/STT — transcribes audio in, synthesizes audio out.

Try LiveKit demo →

AI-Assistants (Phone)

Deploy a phone-number based AI assistant in minutes — inbound/outbound calls, IVR, call recording, and DTMF support.

  • Purchase & map a phone number
  • Templates: Support Bot, Sales Assistant, Reminder Bot
  • PSTN reliability & compliance tools
AI-ASSISTANT — CURL
$ curl -X POST \
".../v1/assistants" \
-H "Authorization: Bearer $API_KEY" \
-d '{
"name": "Support Bot",
"phone_number": "+18005551234",
"voice": "alloy_female_v1",
"system_prompt": "You are a
helpful support agent.",
"capabilities": ["inbound",
"recording", "dtmf"]
} '

Creates an AI assistant bound to a phone number with inbound call handling, recording, and DTMF support.

Create your assistant →

Spanish voices

294TTS voices

Español

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French voices

98TTS voices

Français

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German voices

82TTS voices

Deutsch

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Indonesian voices

31TTS voices

Bahasa Indonesia

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Italian voices

51TTS voices

Italiano

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Japanese voices

85TTS voices

日本語

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Korean voices

171TTS voices

한국어

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Portuguese voices

277TTS voices

Português

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Russian voices

34TTS voices

Русский

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Chinese voices

189TTS voices

中文

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Spanish phonology and prosody

Five vowels, zero reduction

Spanish runs on five vowels: /a e i o u/[1]: and keeps them stable whether stressed or not. English has a dozen-plus vowel qualities and collapses unstressed vowels toward schwa[2]: "banana" comes out as /bəˈnænə/, with two reduced syllables. A Spanish speaker produces three clear /a/ vowels[3] in the same word. TTS trained on English vowel-reduction patterns will swallow Spanish syllables that need to stay full. Producing natural output requires models built for this vowel system, running co-located with the audio pipeline: no hand-offs between providers degrading the signal.

Machine-Gun timing

Spanish is syllable-timed[1]: each syllable occupies roughly equal duration, producing an even, rapid-fire cadence. English is stress-timed[2], compressing unstressed syllables to keep intervals between beats roughly constant. The result: Spanish sounds more evenly articulated[3], with smaller timing differences between syllables. A synthesis engine that imposes English stress-timed compression onto Spanish output breaks the rhythm native speakers expect. Getting syllable timing right requires inference that controls duration at the syllable level, processed where the audio is generated.

Syllables stay simple

Spanish strongly prefers CV syllable structure[1]: consonant-vowel, consonant-vowel: while English permits clusters as dense as CCCVCC ("splints"). Where English stacks consonants at word edges, Spanish inserts vowels to break them apart[2]: "special" becomes "especial," adding a syllable. Words tend to end in vowels or a limited set of consonants[3]. A TTS system that segments speech using English cluster rules will mishandle these epenthetic vowels and open syllables. Accurate Spanish synthesis needs models that respect CV structure end-to-end, with inference co-located alongside telephony so no inter-provider hop strips out the timing that holds it together.