Vocalix.ai
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Product

POST /v1/tts

Text to speech

Voices that pronounce Indian names correctly, switch scripts mid-sentence, and sound the same next month as they do today. One published version, so there is no tier to choose wrong.

Models

VersionAliasesRate / 1M chars
orphix-multilingual-1.0.1
The only published version — every public voice runs on it.
echo-1$0.0189 / min

Aliases move when a new version ships. Exact versions never do — pin one to a key and that key is frozen until you change it.

Languages

78 voices, unevenly — and that is the useful part.

A flag row would imply ten equal libraries. English and Hindi carry most of the catalogue, which is worth knowing before you build a Portuguese IVR on two voices.

LanguageVoicesAccents
English en44American · Indian · British · Australian
Hindi hi18Indian · Gujarati · Bengali · Marathi
Spanish es4Latin American · Peruvian
Tamil ta3Indian
Korean ko2Seoul
Arabic ar2Saudi · Jordanian
Portuguese pt2Brazilian
Italian it1Tuscan
French fr1African
Chinese zh1Beijing Mandarin

The model itself understands thirteen — German, Dutch, Japanese and Russian have no public voice yet, so reaching them today means cloning one.

Controls

text1 – 5 000 characters, whitespace collapsed
voice_id78 public voices, plus your org's own
speed0.25 – 4.0× · out of range is rejected, not clamped
seedany integer · same seed, same bytes
output_formatwav_<rate> · pcm_<rate> · mulaw_<rate>
✓ mulaw_8000 for telephony✓ pcm for streaming into your own mixer✓ mp3 and opus are not available yet

Example

One request, one wav file.

import requests

r = requests.post(
    "https://api.vocalix.ai/v1/tts",
    headers={"Authorization": f"Bearer {KEY}"},
    json={
        "text": "आपका parcel आज शाम तक deliver हो जाएगा।",
        "voice_id": "anika-hi",
        "model": "echo-1",
        "output_format": "wav_22050",
        "speed": 1.0,
        "seed": 42,
    },
)
r.raise_for_status()
open("reply.wav", "wb").write(r.content)
print(r.headers["X-Vocalix-Model-Version"])   # echo-1.0.0