Jiwoo - Service Specialist
Ultra Korean female: Service Specialist. Warm, latency-aware.
Language: Korean
Country: South Korea
Gender: Female
Accent: Korean
Generate lifelike Korean 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
Korean voices across every major regional accent. Hear them below, or browse the full catalog by country.
Generate Korean 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.ko-KR-1",
"text": "처방전이 준비되어 약국에서 픽업하실 수 있습니다."
}' --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: "ko-KR-1",
input: "처방전이 준비되어 약국에서 픽업하실 수 있습니다.",
});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="ko-KR-1",
input="처방전이 준비되어 약국에서 픽업하실 수 있습니다.",
)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 Korean phone agents that handle calls end-to-end, carrier-grade.
Bilingual support flows that resolve common requests without a queue.
Narrate Korean courses and lessons in any regional accent.
Long-form Korean narration with consistent, lifelike delivery.
Localize content into Korean at scale with named native voices.
Korean 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 buildingKorean voices, carrier-grade delivery, from ~$3 per 1M characters.
Pay as you go. No commitment. Business email required.
Korean text to speech (TTS) converts written Korean into natural-sounding spoken audio using AI voices. Telnyx exposes Korean voices through one API for apps, IVR, and voice agents.
English is stress-timed: speakers compress unstressed syllables and stretch stressed ones, creating a bouncy strong-weak alternation. Korean is syllable-timed: each syllable receives roughly the same duration and energy, producing an even, staccato cadence with nothing swallowed or rushed. A TTS engine trained on English stress-timing will impose prominence where Korean expects none, making output sound foreign immediately. Natural Korean synthesis requires inference tuned for syllable-level uniformity running where the audio is processed: not handed off across providers mid-stream.
In English, unstressed vowels collapse toward [ə]: the second syllable of "sofa," the first of "about." Korean vowels stay stable regardless of position; there is no systematic centralization or weakening tied to prominence. Where English TTS learns to blur unstressed vowels as a core feature of naturalness, a Korean pipeline must do the opposite: maintain full vowel quality on every syllable. Getting this wrong produces output that sounds like an English accent imposed on Korean. Accurate rendering at this consistency requires models and audio processing co-located on the same infrastructure: not routed between separate speech and telephony systems.
English intonation rides on lexical stress: pitch peaks land on stressed syllables, tying melody tightly to individual words. Korean intonation operates at the phrase level, using boundary tones and phrase-final pitch movements rather than word-internal prominence to signal questions, focus, and emotion. To an English ear, Korean can sound flat; to a Korean ear, it is precisely contoured. A voice AI system that maps English prosodic patterns onto Korean output misplaces every melodic cue. Reproducing phrase-level pitch contours demands co-located inference where synthesis and telephony share the same network: no inter-provider hops distorting the tonal signal.