Supported languages and limits
curl --request GET \
--url https://api.vachana.ai/stt/v3/languages \
--header 'X-API-Key-ID: <api-key>'import requests
url = "https://api.vachana.ai/stt/v3/languages"
headers = {"X-API-Key-ID": "<api-key>"}
response = requests.get(url, headers=headers)
print(response.text)const options = {method: 'GET', headers: {'X-API-Key-ID': '<api-key>'}};
fetch('https://api.vachana.ai/stt/v3/languages', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));{
"success": true,
"supported_languages": [
"as-IN",
"bn-IN",
"en-IN",
"gu-IN",
"hi-IN",
"indic-auto",
"kn-IN",
"ml-IN",
"mr-IN",
"pa-IN",
"ta-IN",
"te-IN"
],
"models": {
"prisma-v3.0": [
"bn-IN",
"en-IN",
"gu-IN",
"hi-IN",
"indic-auto",
"kn-IN",
"ml-IN",
"mr-IN",
"pa-IN",
"ta-IN",
"te-IN"
]
},
"audio_constraints": {
"max_duration_seconds": 30,
"supported_formats": [
"wav",
"mp3",
"ogg",
"flac",
"aac",
"m4a"
]
},
"default_sample_rate": 16000
}Speech-to-Text
Supported languages
List the languages each Speech-to-Text model supports.
GET
/
stt
/
v3
/
languages
Supported languages and limits
curl --request GET \
--url https://api.vachana.ai/stt/v3/languages \
--header 'X-API-Key-ID: <api-key>'import requests
url = "https://api.vachana.ai/stt/v3/languages"
headers = {"X-API-Key-ID": "<api-key>"}
response = requests.get(url, headers=headers)
print(response.text)const options = {method: 'GET', headers: {'X-API-Key-ID': '<api-key>'}};
fetch('https://api.vachana.ai/stt/v3/languages', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));{
"success": true,
"supported_languages": [
"as-IN",
"bn-IN",
"en-IN",
"gu-IN",
"hi-IN",
"indic-auto",
"kn-IN",
"ml-IN",
"mr-IN",
"pa-IN",
"ta-IN",
"te-IN"
],
"models": {
"prisma-v3.0": [
"bn-IN",
"en-IN",
"gu-IN",
"hi-IN",
"indic-auto",
"kn-IN",
"ml-IN",
"mr-IN",
"pa-IN",
"ta-IN",
"te-IN"
]
},
"audio_constraints": {
"max_duration_seconds": 30,
"supported_formats": [
"wav",
"mp3",
"ogg",
"flac",
"aac",
"m4a"
]
},
"default_sample_rate": 16000
}Supported languages
Prisma v2.5 and Prisma v3.0 support these languages. The same list applies on REST, Realtime and Batch.| Language | Code | Native Script | Example |
|---|---|---|---|
| Bengali | bn-IN | Bengali (বাংলা) | “আমি ভাত খাই” |
| English | en-IN | “I am going to the market” | |
| Gujarati | gu-IN | Gujarati (ગુજરાતી) | “હું બજાર જાઉં છું” |
| Hindi | hi-IN | Devanagari (हिन्दी) | “मैं बाज़ार जा रहा हूँ” |
| Kannada | kn-IN | Kannada (ಕನ್ನಡ) | “ನಾನು ಮಾರುಕಟ್ಟೆಗೆ ಹೋಗುತ್ತೇನೆ” |
| Malayalam | ml-IN | Malayalam (മലയാളം) | “ഞാൻ ചന്തയിലേക്ക് പോകുന്നു” |
| Marathi | mr-IN | Devanagari (मराठी) | “मी बाजारात जातोय” |
| Punjabi | pa-IN | Gurmukhi (ਪੰਜਾਬੀ) | “ਮੈਂ ਬਾਜ਼ਾਰ ਜਾ ਰਿਹਾ ਹਾਂ” |
| Tamil | ta-IN | Tamil (தமிழ்) | “நான் சந்தைக்கு செல்கிறேன்” |
| Telugu | te-IN | Telugu (తెలుగు) | “నేను మార్కెట్కి వెళ్తున్నాను” |
indic-auto (Prisma v3.0 only). Send language_code=indic-auto to let the model identify the language itself. It is not a language: the reply carries the language it heard in detected_language_code. See Language detection.Languages endpoint
GET /stt/v3/languages returns the languages and limits each model currently supports, so you can check them from code.
supported_languages lists every language any Gnani model supports. Prisma v3.0 does not support as-IN
(Assamese). Use models["prisma-v3.0"] to see what the model accepts.Example
curl "https://api.vachana.ai/stt/v3/languages" \
--header "X-API-Key-ID: <API_KEY>"
import requests
r = requests.get(
"https://api.vachana.ai/stt/v3/languages",
headers={"X-API-Key-ID": "<API_KEY>"},
timeout=30,
)
info = r.json()
print(info["models"]["prisma-v3.0"])
print(info["audio_constraints"]["max_duration_seconds"])
prisma-v3.0 entry; the real response lists every model):
{
"success": true,
"supported_languages": ["as-IN", "bn-IN", "en-IN", "gu-IN", "hi-IN", "indic-auto", "kn-IN", "ml-IN", "mr-IN", "pa-IN", "ta-IN", "te-IN"],
"models": {
"prisma-v3.0": ["bn-IN", "en-IN", "gu-IN", "hi-IN", "indic-auto", "kn-IN", "ml-IN", "mr-IN", "pa-IN", "ta-IN", "te-IN"]
},
"audio_constraints": {
"max_duration_seconds": 30.0,
"supported_formats": ["wav", "mp3", "ogg", "flac", "aac", "m4a"]
},
"default_sample_rate": 16000
}
Field notes
supported_languagesis the union across every model. It therefore listsas-IN(Assamese), which other models support and Prisma v3.0 does not.modelshas one entry per model. Checkmodels["prisma-v3.0"]before sending a language: it has ten locales plusindic-auto, and noas-IN.- Sending
as-INtoprisma-v3.0returns400 MODEL_UNSUPPORTED_LANGUAGE(Error Reference). audio_constraints.max_duration_secondsis the live REST limit.
Authorizations
API key for authentication. Sign up in Vachana to get the API Key.
Response
200 - application/json
Supported languages and audio constraints
Union across every model. Includes languages that Prisma v3.0 does not support (for example as-IN).
Languages accepted by each model, keyed by model name.
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