alfhild
NaturalHD German female, alfhild. Measured and production-grade.
Language: German
Country: Germany
Gender: Female
Accent: German German
Generate lifelike German 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
German voices across every major regional accent. Hear them below, or browse the full catalog by country.
Generate German 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.de-DE-1",
"text": "Ihr Rezept liegt zur Abholung in der Apotheke bereit."
}' --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: "de-DE-1",
input: "Ihr Rezept liegt zur Abholung in der Apotheke bereit.",
});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="de-DE-1",
input="Ihr Rezept liegt zur Abholung in der Apotheke bereit.",
)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 German phone agents that handle calls end-to-end, carrier-grade.
Bilingual support flows that resolve common requests without a queue.
Narrate German courses and lessons in any regional accent.
Long-form German narration with consistent, lifelike delivery.
Localize content into German at scale with named native voices.
German 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 buildingGerman voices, carrier-grade delivery, from ~$3 per 1M characters.
Pay as you go. No commitment. Business email required.
German text to speech (TTS) converts written German into natural-sounding spoken audio using AI voices. Telnyx exposes German voices through one API for apps, IVR, and voice agents.
German's vowel inventory includes front rounded vowels[1]: /yː/ (ü) and /øː/ (ö): that have no equivalent in English. Without them, süß ('sweet') collapses into sus, and Höhle ('cave') becomes indistinguishable from Hole. English speakers consistently confuse /y/ with /u/ and /ø/ with /o/[2], even at advanced proficiency levels. On top of this, German vowel length is phonemic rather than allophonic[3]: Staat [ʃtaːt] vs. Stadt [ʃtat]: so duration errors change meaning. A TTS system that maps German vowels onto English categories produces speech that is wrong, not just accented. Rendering these distinctions requires models that encode German vowel geometry natively, running co-located with the audio pipeline so duration cues survive intact.
German applies systematic final obstruent devoicing[1]: every voiced stop, fricative, and affricate becomes voiceless at syllable boundaries. Rad ('wheel') and Rat ('council') are both [ʁaːt] in isolation: the /d/ only resurfaces in inflected forms like Räder. English preserves final voicing contrasts ("bad" vs. "bat"), so its phonological assumptions don't transfer. German also splits its dorsal fricatives into two allophones: the palatal ich-Laut [ç] after front vowels[2] and the velar ach-Laut [x] after back vowels: a distribution rule absent from English entirely. Synthesizing these patterns correctly means running inference where the audio is generated, with no handoff between providers to smear the voicing and frication cues.
German and English are both classified as stress-timed[1], but they don't sound alike. German reduces unstressed vowels less aggressively[2] than English, retaining more vowel quality in weak positions, which produces a more even, staccato-like tempo[3] compared to English's heavy schwa compression and galloping rhythm. Stress in German also falls predictably on the first syllable of native words: until prefixes and loanwords break the pattern. Applying English stress-timing to German output makes it sound rushed in the wrong places and sluggish in others. Getting the rhythm right requires synthesis infrastructure that processes prosody and segmental audio in one pass, with no inter-provider latency to distort syllable timing.