Jing - Clear Coordinator
Ultra Chinese female: Clear Coordinator. Articulate, low-latency ready.
Language: Chinese
Country: International
Gender: Female
Accent: Chinese
Generate lifelike Chinese speech across a wide range of voices and every major accent, over carrier-grade infrastructure built for voice agents and IVR.
Pay as you go from ~$3 per 1M characters, no commitment
Built on the same infrastructure thousands of teams ship voice on
Chinese voices across every major regional accent. Hear them below, or browse the full catalog by country.
Generate Chinese audio in one request. OpenAI-SDK compatible, with streaming for real-time apps.
curl -X POST https://api.telnyx.com/v2/text-to-speech/speech \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"voice": "Telnyx.NaturalHD.zh-CN-1",
"text": "您的处方药已准备好,请到药房取药。"
}' --output sample.mp3import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.TELNYX_API_KEY,
baseURL: "https://api.telnyx.com/v2",
});
const audio = await client.audio.speech.create({
model: "Telnyx.NaturalHD",
voice: "zh-CN-1",
input: "您的处方药已准备好,请到药房取药。",
});from openai import OpenAI
client = OpenAI(
api_key=os.environ["TELNYX_API_KEY"],
base_url="https://api.telnyx.com/v2",
)
audio = client.audio.speech.create(
model="Telnyx.NaturalHD",
voice="zh-CN-1",
input="您的处方药已准备好,请到药房取药。",
)Voice IDs follow the Telnyx.<Tier>.<Voice> convention, so you can swap the voice without touching the rest of your code.
Read the TTS docsNatural Chinese phone agents that handle calls end-to-end, carrier-grade.
Bilingual support flows that resolve common requests without a queue.
Narrate Chinese courses and lessons in any regional accent.
Long-form Chinese narration with consistent, lifelike delivery.
Localize content into Chinese at scale with named native voices.
Chinese screen-reading and read-aloud for inclusive products.
The delivery path, model breadth, low-latency pipeline, and economics behind every voice above.
24 kHz audio has to survive the phone network. Without a carrier-grade delivery path it gets crushed to 8 kHz, throwing away the quality the model produced. Own the delivery, or the voice degrades before anyone hears it.
No single engine wins every language, accent, and budget. Front many models (Telnyx, AWS Polly, Rime, Inworld, ElevenLabs, and more) behind one API so you can swap by config instead of re-integrating each time.
For voice agents and IVR, TTS alone isn't enough: TTS, STT, LLM, SIP and numbers belong in one path under ~500ms end-to-end, or the back-and-forth feels laggy and robotic.
Predictable per-character, pay-as-you-go pricing, no seats, minimums, or surprise overage tiers, is what keeps quality voice affordable once you scale past a demo.
Owned infrastructure in 20+ countries, PSTN reach in 100+ countries, used by 14,000+ companies.
| Model | Per character | Per 1M characters |
|---|---|---|
| Telnyx (standard) | $0.000003 / char | ~$3 / 1M chars |
| Telnyx HD | $0.000048 / char | ~$48 / 1M chars |
| Bring-your-own (ElevenLabs, Azure) | Your provider's rate | Billed through Telnyx |
Qualifying startups can apply to the Telnyx startups program for up to $20K in credits. Volume discounts available on the Growth Plan.
Start buildingChinese voices, carrier-grade delivery, from ~$3 per 1M characters.
Pay as you go. No commitment. Business email required.
Chinese text to speech (TTS) converts written Chinese into natural-sounding spoken audio using AI voices. Telnyx exposes Chinese voices through one API for apps, IVR, and voice agents.
Mandarin is a tone language[1]: nearly every syllable carries one of four fixed pitch contours: high, rising, dipping, or falling: and changing the contour changes the word. The syllable "ma" means mother (mā), hemp (má), horse (mǎ), or scold (mà). English uses pitch to signal stress and focus[2]; Mandarin pitch is built into the word itself[3]. A TTS system that misshapes a single tone doesn't sound unnatural: it says the wrong word. Producing accurate Mandarin requires inference that resolves tone at the syllable level, with no inter-provider routing degrading the pitch signal.
English is stress-timed[1]: stressed syllables land at regular intervals while unstressed syllables compress between them, creating a strong-weak-weak bounce. Mandarin is syllable-timed[2]: syllables stay closer to equal in duration with far less reduction, producing what sounds like a row of similarly sized beats[3] carrying different pitch shapes. A voice engine trained on English stress-timing will squeeze and stretch syllables that should stay even. Getting this right requires models built for Mandarin rhythm, running co-located with the audio pipeline.
English intonation is relatively free: pitch accents move around a sentence to mark focus or signal questions[1] without changing word identity. Mandarin intonation must ride on top of lexical tones[2], using post-focus pitch compression to convey emphasis while keeping each syllable's tone intact. The same discourse function: focus, question, statement: is realized through different prosodic strategies[3] than English uses. Imposing English-style rising question contours onto Mandarin warps lexical tones into wrong words. This two-layer pitch system demands synthesis infrastructure where tone and intonation are resolved together, not split across providers.