gnani-vachana 0.1.1

Python client for Gnani's Vachana speech AI platform (STT, TTS, and more)

gnani-vachana

Official Python client for the Vachana Speech-to-Text API by Gnani.ai. Transcribe audio in 10 Indian languages with a single function call.

Vachana is a production-ready speech-to-text API with automatic language detection and code-switching support for accurate multilingual transcriptions.

Installation

pip install gnani-vachana

Requires Python 3.9+.

Quick Start

from gnani_stt import GnaniSTTClient

client = GnaniSTTClient(
    organization_id="your-organization-id",
    api_key="your-api-key",
    user_id="your-user-id",
)

result = client.transcribe("audio.wav", language_code="hi-IN")
print(result["transcript"])

Authentication

The Vachana API uses header-based authentication. Every request requires three credentials:

Parameter	Header	Description
organization_id	X-Organization-ID	Your organisation identifier
api_key	X-API-Key-ID	Secret key for authentication
user_id	X-API-User-ID	Your user / organisation name

Obtaining Credentials

Email [e-mail] with your name, company, and use case. Credentials are typically provisioned within 1 business day, and all new accounts receive free credits -- no credit card required.

Passing Credentials

Option 1 -- Constructor arguments:

client = GnaniSTTClient(
    organization_id="your-organization-id",
    api_key="your-api-key",
    user_id="your-user-id",
)

Option 2 -- Environment variables:

export GNANI_ORGANIZATION_ID="your-organization-id"
export GNANI_API_KEY="your-api-key"
export GNANI_USER_ID="your-user-id"

client = GnaniSTTClient()

Supported Languages

Language	Code	Native Script
Bengali	bn-IN	বাংলা
English (India)	en-IN	Latin
Gujarati	gu-IN	ગુજરાતી
Hindi	hi-IN	हिन्दी
Kannada	kn-IN	ಕನ್ನಡ
Malayalam	ml-IN	മലയാളം
Marathi	mr-IN	मराठी
Punjabi	pa-IN	ਪੰਜਾਬੀ
Tamil	ta-IN	தமிழ்
Telugu	te-IN	తెలుగు

For multilingual / code-switching audio (e.g. Hindi-English mix), pass a comma-separated code:

result = client.transcribe("meeting.wav", language_code="en-IN,hi-IN")

Usage

Transcribe a file by path

result = client.transcribe("meeting.wav", language_code="en-IN")
print(result["transcript"])

Transcribe from a file object

with open("meeting.mp3", "rb") as f:
    result = client.transcribe(f, language_code="ta-IN")

Transcribe raw bytes

audio_bytes = download_audio_from_somewhere()
result = client.transcribe_bytes(
    audio_bytes, filename="clip.wav", language_code="kn-IN"
)

Custom request ID

result = client.transcribe(
    "call.flac", language_code="hi-IN", request_id="my-trace-123"
)

List supported languages

for code, name in GnaniSTTClient.supported_languages().items():
    print(f"{code}: {name}")

Audio Requirements

Constraint	Value
Formats	WAV, MP3, FLAC, OGG, M4A
Max duration	60 seconds
Channels	Mono or stereo
Sample rate	Automatically converted to 16 kHz mono

Response Format

{
  "success": true,
  "request_id": "req_abc123",
  "timestamp": "20251226_143052.123",
  "transcript": "नमस्ते, आप कैसे हैं?"
}

Error Handling

from gnani_stt import AuthenticationError, InvalidAudioError, APIError

try:
    result = client.transcribe("audio.wav", language_code="hi-IN")
except AuthenticationError:
    print("Check your credentials")
except InvalidAudioError as e:
    print(f"Bad audio file: {e}")
except APIError as e:
    print(f"API error {e.status_code}: {e}")

Documentation

Full API reference and guides are available at docs.inya.ai/vachana.

License

This project is licensed under the MIT License -- see the LICENSE file for details.