ff_siwis
Kokoro French female, ff_siwis. Warm, full-stack ready.
Language: French
Country: France
Gender: Female
Accent: French
French TTS API Voices
Generate lifelike French 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
14,000+
companies build on Telnyx
100+
languages & dialects
1,300+
voices, one API
<500ms
end-to-end latency
French voices & accents
French voices across every major regional accent. Hear them below, or browse the full catalog by country.
Call the French TTS API
Generate French audio in one request. OpenAI-SDK compatible, with streaming for real-time apps.
cURL
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.fr-FR-1",
"text": "Votre ordonnance est prête à être retirée à la pharmacie."
}' --output sample.mp3Node
import 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: "fr-FR-1",
input: "Votre ordonnance est prête à être retirée à la pharmacie.",
});Python
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="fr-FR-1",
input="Votre ordonnance est prête à être retirée à la pharmacie.",
)Voice IDs follow the Telnyx.<Tier>.<Voice> convention, so you can swap the voice without touching the rest of your code.
Read the TTS docsWhat teams build with French TTS
Voice agents & IVR
Natural French phone agents that handle calls end-to-end, carrier-grade.
Customer support automation
Bilingual support flows that resolve common requests without a queue.
E-learning
Narrate French courses and lessons in any regional accent.
Audiobooks
Long-form French narration with consistent, lifelike delivery.
Video voiceover & dubbing
Localize content into French at scale with named native voices.
Accessibility
French screen-reading and read-aloud for inclusive products.
Browse all French voices by country
Infrastructure for TTS Library, courtesy of Telnyx
The delivery path, model breadth, low-latency pipeline, and economics behind every voice above.
The stack quality French TTS needs
01
Delivery path
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.
02
Model layer
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.
03
Real-time pipeline
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.
04
Economics
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.
Enterprise-grade trust
SOC 2 Type IIHIPAAPCI DSSGDPRISO 27001 / 27701STIR/SHAKEN A-level
Owned infrastructure in 20+ countries, PSTN reach in 100+ countries, used by 14,000+ companies.
French TTS pricing
From ~$3 per 1M charactersPay as you go. No commitment, no seats.
| 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 buildingStart building with French TTS
French voices, carrier-grade delivery, from ~$3 per 1M characters.
Pay as you go. No commitment. Business email required.
French text to speech FAQ
French text to speech (TTS) converts written French into natural-sounding spoken audio using AI voices. Telnyx exposes French voices through one API for apps, IVR, and voice agents.
French phonology and prosody
Vowels that travel through the nose
French has nasal vowels[1]: /ɛ̃/, /ɑ̃/, /ɔ̃/: produced with airflow through both the mouth and the nasal cavity. English has no equivalent phonemes. The words "vin," "bon," and "un" each carry a distinct nasal vowel that changes meaning if denasalized. Combined with tenser articulation and more extreme lip rounding[2] on vowels like /y/ in "tu," French demands a vowel space English-trained models simply don't map. Synthesizing these sounds accurately requires models that run where the audio is rendered: not piped across providers that flatten the nasal-oral distinction in transit.
Rhythm without a downbeat
English is stress-timed[1]: strong and weak syllables alternate, and unstressed vowels collapse toward schwa[2]. French runs closer to syllable-timed[3], distributing duration more evenly across every syllable. Where English "I don't want to GO" hammers one word and swallows the rest, French "Je ne veux pas y aller" keeps each syllable roughly equal in weight[4]. A TTS system built on English stress-timed assumptions will impose strong-weak patterning that sounds immediately wrong. Even rhythm at this precision requires inference co-located with audio processing, with no hops to introduce timing artifacts.
Stress locked to the phrase edge
In English, stress is lexical: it falls on different syllables and distinguishes words[1] ("REcord" vs. "reCORD"). French stress is predictable and phrase-final[2], landing on the last full syllable of each prosodic group. It marks boundaries, not meanings. French vowels also maintain their quality in unstressed positions[3] rather than reducing: an /o/ stays /o/ regardless of where stress falls. Voice infrastructure that handles French needs to track phrase-level grouping and place prominence at the edge, running synthesis and telephony in one stack so prosodic boundaries survive intact.