fonadalabs 2.2.0

Unified Python SDK for FonadaLabs TTS, ASR, Audio Denoising, and Voice Cloning APIs

FonadaLabs SDK

Unified Python SDK for FonadaLabs Text-to-Speech (TTS), Automatic Speech Recognition (ASR), and Audio Denoising APIs.

Table of Contents

• Features
• Installation
• Quick Start
  • Text-to-Speech (TTS)
  • Automatic Speech Recognition (ASR)
  • Audio Denoising
• Authentication
• Advanced Features
• Error Handling
• Security Features
• Documentation
• Examples
• Package Structure
• Importing
• Requirements
• License
• Support

Features

Text-to-Speech (TTS)

• 🎙️ High-quality text-to-speech generation with multiple voices
• 🌍 Multi-language support (Hindi, English, Telugu, Tamil, and more)
• 🚀 HTTP POST and WebSocket support
• 📊 Real-time progress tracking
• ⚡ Async support for concurrent requests
• 🎵 Audio streaming with chunk callbacks
• 🔒 Secure API key authentication
• ⚠️ Built-in error handling for rate limits and credit exhaustion

Automatic Speech Recognition (ASR)

• 🎤 Audio file transcription
• 🌐 WebSocket streaming for real-time transcription
• 🔄 Concurrent batch processing
• 🌍 Multi-language support (50+ languages)
• 🔒 Secure API key authentication
• ⚠️ Comprehensive error handling

Audio Denoising

• 🔇 High-quality audio denoising (DeepFilterNet + CMGAN)
• 🎯 Full audio and streaming chunk processing
• ⚡ Real-time WebSocket streaming with progress callbacks
• 📦 Batch processing support
• 🔒 Secure API key authentication
• ⚠️ Built-in rate limit and credit management

Installation

From PyPI (Recommended)

# Install with all dependencies for TTS, ASR, and Denoise
pip install fonadalabs

Note for Windows users: Make sure you have Python 3.9-3.12 and upgraded pip:

python -m pip install --upgrade pip setuptools wheel
pip install fonadalabs

From Source (Development)

git clone https://github.com/fonadalabs/fonadalabs-sdk.git
cd fonadalabs-sdk
pip install -e .

For Development

# Install with development tools (pytest, black, etc.)
pip install fonadalabs[dev]

Quick Start

Text-to-Speech (TTS)

from fonadalabs import TTSClient, TTSError, CreditsExhaustedError, RateLimitError

# Initialize with API key (or set FONADALABS_API_KEY env variable)
client = TTSClient(api_key="your-api-key-here")

try:
    # Generate audio with language
    audio_data = client.generate_audio(
        text="नमस्ते! यह FonadaLabs TTS SDK का परीक्षण है।",
        voice="Vaanee",
        language="Hindi",  # Supported: Hindi, English, Telugu, Tamil
        output_file="output.wav"
    )
    print(f"✓ Generated {len(audio_data)} bytes")
    
except CreditsExhaustedError as e:
    print(f"⚠️ API credits exhausted. Balance: {e.current_balance}")
except RateLimitError as e:
    print(f"⚠️ Rate limit exceeded. Retry after: {e.retry_after_seconds}s")
except TTSError as e:
    print(f"❌ TTS Error: {e}")

Automatic Speech Recognition (ASR)

from fonadalabs import (
    ASRClient, 
    ASRSDKError,
    AuthenticationError,
    ASRCreditsExhaustedError,
    ASRRateLimitError,
    is_supported_language
)

# Initialize with API key (or set FONADALABS_API_KEY env variable)
asr_client = ASRClient(api_key="your-api-key-here")

try:
    # Check if language is supported
    if is_supported_language("hi"):
        print("✓ Hindi is supported!")
    
    # Transcribe audio file
    result = asr_client.transcribe_file(
        audio_path="audio.wav",
        language_id="hi"  # Hindi
    )
    print(f"✓ Transcription: {result.text}")
    print(f"✓ Language: {result.language_id}")
    print(f"✓ File: {result.file_path}")
    
except ASRCreditsExhaustedError as e:
    print(f"⚠️ API credits exhausted. Usage: {e.current_usage}")
except ASRRateLimitError as e:
    print(f"⚠️ Rate limit exceeded. Retry after: {e.retry_after_seconds}s")
except AuthenticationError as e:
    print(f"❌ Authentication failed: {e}")
except ASRSDKError as e:
    print(f"❌ ASR Error: {e}")

Audio Denoising

from fonadalabs import (
    DenoiseHttpClient, 
    DenoiseStreamingClient,
    DenoiseCreditsExhaustedError,
    DenoiseRateLimitError
)

try:
    # Full audio denoising (HTTP)
    http_client = DenoiseHttpClient(api_key="your-api-key-here")
    denoised = http_client.denoise_file("noisy.wav", "clean.wav")
    print("✓ Denoised audio saved to clean.wav")
    
    # Streaming denoising with progress
    streaming_client = DenoiseStreamingClient(api_key="your-api-key-here")
    
    def progress_callback(current, total):
        percent = (current / total) * 100
        print(f"Progress: {current}/{total} chunks ({percent:.1f}%)")
    
    denoised = streaming_client.denoise_file(
        "noisy.wav", 
        "clean.wav",
        progress_callback=progress_callback
    )
    print("✓ Streaming denoising complete!")
    
except DenoiseCreditsExhaustedError:
    print("⚠️ API credits exhausted. Please add more credits.")
except DenoiseRateLimitError:
    print("⚠️ Rate limit exceeded. Please try again later.")
except Exception as e:
    print(f"❌ Denoise Error: {e}")

Authentication

All FonadaLabs APIs require API key authentication. You can obtain your API key from the FonadaLabs Dashboard.

Method 1: Environment Variable (Recommended)

# Set environment variable
export FONADALABS_API_KEY=your-api-key-here

# Or add to .env file
echo "FONADALABS_API_KEY=your-api-key-here" >> .env

Then use the SDK without passing the key:

from fonadalabs import TTSClient, ASRClient, DenoiseHttpClient

# API key is automatically loaded from environment
tts_client = TTSClient()
asr_client = ASRClient()
denoise_client = DenoiseHttpClient()

Method 2: Pass Directly in Code

from fonadalabs import TTSClient, ASRClient, DenoiseHttpClient

tts_client = TTSClient(api_key="your-api-key")
asr_client = ASRClient(api_key="your-api-key")
denoise_client = DenoiseHttpClient(api_key="your-api-key")

⚠️ Security Note: Never hardcode API keys in your source code. Always use environment variables or secure key management systems.

Advanced Features

Available TTS Voices

Voices are language-specific. See voice_mapping.json for the complete list.

Hindi (74 voices): Naad, Dhwani, Vaanee, Swara, Taal, Laya, Raaga, Geetika, Shruti, Komal, Sangeeta, Aalap, Sparsh, Swar, and more...

Tamil (16 voices): Vaani, Isai, Thalam, Swaram, Madhuram, Naadham, Ragam, Pallavi, Dhwani, Shruti, and more...

Telugu (58 voices): Naadamu, Dhwani, Taalam, Geetamu, Vaani, Swaramu, Shruti, Komala, Aalapana, Gamaka, and more...

Usage:

from fonadalabs import TTSClient

client = TTSClient(api_key="your-api-key")

# Test different Hindi voices
for voice in ["Vaanee", "Shruti", "Raaga", "Komal", "Sangeeta"]:
    audio = client.generate_audio(
        text="यह एक आवाज़ का परीक्षण है।",
        voice=voice,
        language="Hindi",
        output_file=f"test_{voice.lower()}.wav"
    )
    print(f"✓ Generated audio with {voice} voice")

Supported TTS Languages

Language	Name	Code	Voice Count
Hindi	Hindi	hi	74
English	English	hi	74 (uses Hindi voices)
Telugu	Telugu	te	58
Tamil	Tamil	ta	16

Note: English uses the Hindi voice set. Code-mixing between English and Hindi is supported.

Multi-language Example:

# Generate audio in different languages (use language-specific voice names)
client.generate_audio("Hello!", "Vaanee", "English", "english.wav")
client.generate_audio("నమస్కారం!", "Naadamu", "Telugu", "telugu.wav")
client.generate_audio("வணக்கம்!", "Vaani", "Tamil", "tamil.wav")

Context Manager Support

Use TTSClient with Python's context manager for automatic resource cleanup:

from fonadalabs import TTSClient

# Resources are automatically cleaned up after the block
with TTSClient(api_key="your-api-key") as client:
    audio = client.generate_audio(
        text="Testing context manager",
        voice="Vaanee",
        language="English",
        output_file="output.wav"
    )
    print(f"Generated: {len(audio)} bytes")

# Client is automatically closed here
print("Resources cleaned up automatically!")

WebSocket Streaming (TTS)

Stream audio with real-time progress updates and callbacks:

from fonadalabs import TTSClient

client = TTSClient(api_key="your-api-key")

# Define callbacks for streaming events
def on_chunk(chunk_num, chunk_bytes):
    print(f"📦 Chunk {chunk_num} received: {len(chunk_bytes)} bytes")

def on_complete(stats):
    print(f"✅ Complete! Chunks: {stats.get('chunks_sent')}, Bytes: {stats.get('bytes_sent')}")

def on_error(error_msg):
    print(f"❌ Error: {error_msg}")

# Generate audio via WebSocket with callbacks
audio = client.generate_audio_ws(
    text="Hello! This is a WebSocket streaming test.",
    voice="Vaanee",
    language="English",
    output_file="output.wav",
    on_chunk=on_chunk,
    on_complete=on_complete,
    on_error=on_error
)

Async Operations (TTS)

Use async methods for concurrent requests:

import asyncio
from fonadalabs import TTSClient

client = TTSClient(api_key="your-api-key")

async def generate_multiple():
    tasks = [
        client.generate_audio_async("Text 1", "Vaanee", "Hindi", "output1.wav"),
        client.generate_audio_async("Text 2", "Shruti", "English", "output2.wav"),
        client.generate_audio_async("Text 3", "Naadamu", "Telugu", "output3.wav"),
    ]
    results = await asyncio.gather(*tasks)
    return results

audio_files = asyncio.run(generate_multiple())

WebSocket Streaming (ASR)

Real-time transcription with WebSocket - 2x faster than HTTP for batch processing:

from fonadalabs import ASRWebSocketClient, ASRSDKError

# Initialize WebSocket client (API key from env or parameter)
ws_client = ASRWebSocketClient(api_key="your-api-key")

try:
    # Transcribe using WebSocket (persistent connection)
    result = ws_client.transcribe(
        audio_path="audio.wav",
        language_id="hi"  # Hindi
    )
    
    # Result is a dict
    print(f"✓ Transcription: {result.get('text')}")
    print(f"✓ Status: {result.get('status')}")
    
except ASRSDKError as e:
    print(f"❌ WebSocket transcription failed: {e}")

# Benefits:
# - Authenticate once, transcribe multiple files
# - 2x faster latency (190ms vs 382ms)
# - 95% less auth overhead

Multiple Languages (ASR)

ASR supports 50+ languages including all major Indian languages:

from fonadalabs import ASRClient, is_supported_language, SUPPORTED_LANGUAGES

client = ASRClient(api_key="your-api-key")

# Check if a language is supported
if is_supported_language("hi"):
    print("✓ Hindi is supported!")

# Test multiple languages
languages = ["hi", "en", "ta", "te", "bn", "gu", "mr", "kn", "ml", "pa"]

for lang in languages:
    if is_supported_language(lang):
        result = client.transcribe_file("audio.wav", language_id=lang)
        print(f"{lang}: {result.text}")

# View all supported languages
print(f"Total languages: {len(SUPPORTED_LANGUAGES)}")

Popular Indian Languages:

• Hindi (hi), English (en), Tamil (ta), Telugu (te)
• Bengali (bn), Gujarati (gu), Marathi (mr), Kannada (kn)
• Malayalam (ml), Punjabi (pa), Odia (or), Assamese (as)
• Urdu (ur), Nepali (ne), Sanskrit (sa), and more!

Batch Processing (ASR)

Process multiple audio files concurrently:

from fonadalabs import ASRClient

client = ASRClient(api_key="your-api-key")

# List of audio files to transcribe
file_paths = ["audio1.wav", "audio2.wav", "audio3.wav"]

# Batch transcribe with custom concurrency
results = client.batch_transcribe(
    file_paths=file_paths,
    language_id="en",
    concurrency=3
)

# Process successful transcriptions
for result in results.successful:
    print(f"✓ {result.file_path}: {result.text}")

# Handle failed transcriptions
for failed in results.failed:
    print(f"✗ {failed.file_path}: {failed.error}")

Error Handling

The SDK provides specific exception types for different error scenarios:

TTS Exceptions

from fonadalabs import (
    TTSError,                 # Base exception
    CreditsExhaustedError,    # Credits exhausted (402/429)
    RateLimitError            # Rate limit exceeded (429)
)

# Exception usage example
try:
    audio = client.generate_audio("Text", "Vaanee")
except CreditsExhaustedError as e:
    print(f"Credits exhausted. Balance: {e.current_balance}, Cost: {e.estimated_cost}")
except RateLimitError as e:
    print(f"Rate limited. Limit: {e.rate_limit}, Retry after: {e.retry_after_seconds}s")
except TTSError as e:
    print(f"TTS Error: {e}")

ASR Exceptions

from fonadalabs import (
    ASRSDKError,                 # Base exception
    AuthenticationError,         # Invalid API key (401/403)
    ValidationError,             # Invalid parameters
    HTTPRequestError,            # HTTP request failed
    ServerError,                 # Server error (500+)
    ASRRateLimitError,           # Rate limit exceeded (429)
    ASRTimeoutError,             # Request timeout
    ASRCreditsExhaustedError     # Credits exhausted (402/429)
)

# Exception usage example
try:
    result = asr_client.transcribe_file("audio.wav", language_id="hi")
except ASRCreditsExhaustedError as e:
    print(f"Credits exhausted. Usage: {e.current_usage}, Limit: {e.credit_limit}")
except ASRRateLimitError as e:
    print(f"Rate limited. Limit: {e.rate_limit}, Reset at: {e.reset_at}")
except AuthenticationError as e:
    print(f"Auth failed: {e}")
except ValidationError as e:
    print(f"Invalid parameters: {e}")
except ASRSDKError as e:
    print(f"ASR Error: {e}")

Denoise Exceptions

from fonadalabs import (
    DenoiseError,                    # Base exception
    DenoiseCreditsExhaustedError,    # Credits exhausted
    DenoiseRateLimitError            # Rate limit exceeded
)

Security Features

🔒 Base URL Lockdown

All SDK clients use hardcoded, secure base URLs that cannot be overridden. This prevents:

• URL injection attacks
• Data exfiltration attempts
• Man-in-the-middle attacks

# ✅ SECURE: Base URLs are locked
client = TTSClient(api_key="your-key")

# ❌ PREVENTED: Cannot override base URL
# client = TTSClient(api_key="key", base_url="http://malicious.com")  # Not allowed

Base URLs can only be configured via environment variables by authorized administrators:

export FONADALABS_API_URL=https://your-secure-endpoint.com

🔐 API Key Validation

All API requests are validated:

• API keys are required for all endpoints
• Invalid keys return 401 Unauthorized
• Keys are transmitted securely via HTTPS
• Never logged or exposed in error messages

Documentation

• TTS Documentation: See TEXT_TO_SPEECH_QUICKSTART.md
• ASR Documentation: See ASR_AUTHENTICATION.md
• Denoise Documentation: See denoise_sdk/README.md
• Security Audit: See SECURITY_AUDIT_REPORT.md

Examples

TTS Examples

Located in tts_sdk/examples/:

• basic_usage.py - Simple HTTP generation
• websocket_usage.py - WebSocket with progress tracking
• async_usage.py - Concurrent requests
• streaming_usage.py - Audio chunk streaming
• auth_usage.py - Authentication examples

ASR Examples

Located in test/:

• asr_test.py - Comprehensive test suite with all features
• Tests include: HTTP POST, WebSocket, multiple languages, error handling

Run ASR Tests:

# Set API key
export FONADALABS_API_KEY="your_api_key_here"

# Run all tests
cd test
python asr_test.py --audio test_audio.wav

# Run specific test
python asr_test.py --test post         # HTTP POST transcription
python asr_test.py --test ws           # WebSocket transcription
python asr_test.py --test languages    # Test multiple languages
python asr_test.py --test errors       # Error handling

Denoise Examples

Located in denoise_sdk/:

• sdk_test.py - Quick start examples for HTTP and WebSocket denoising

Package Structure

fonadalabs/
├── __init__.py                    # Unified package exports
├── tts/                           # TTS submodule
│   ├── __init__.py
│   └── client.py                 # TTSClient
├── asr/                           # ASR submodule
│   ├── __init__.py
│   ├── client.py                 # ASRClient
│   ├── ws_client.py              # ASRWebSocketClient
│   ├── config.py                 # Configuration
│   ├── exceptions.py             # ASR exceptions
│   ├── languages.py              # Language utilities
│   ├── utils.py                  # Utility functions
│   └── models/                   # Data models
│       └── types.py
└── denoise/                       # Denoise submodule
    ├── __init__.py
    ├── http_client.py            # DenoiseHttpClient
    ├── streaming_client.py       # DenoiseStreamingClient
    └── exceptions.py             # Denoise exceptions

Importing

All Three SDKs

from fonadalabs import (
    TTSClient,
    ASRClient,
    DenoiseHttpClient,
    DenoiseStreamingClient
)

tts = TTSClient(api_key="your-key")
asr = ASRClient(api_key="your-key")
denoise = DenoiseHttpClient(api_key="your-key")

TTS Only

from fonadalabs import TTSClient, TTSError, CreditsExhaustedError, RateLimitError
# or explicitly from submodule
from fonadalabs.tts import TTSClient, TTSError

ASR Only

from fonadalabs import ASRClient, ASRWebSocketClient
# or explicitly from submodule
from fonadalabs.asr import ASRClient, ASRWebSocketClient

Denoise Only

from fonadalabs import DenoiseHttpClient, DenoiseStreamingClient
# or explicitly from submodule
from fonadalabs.denoise import DenoiseHttpClient, DenoiseStreamingClient

Requirements

Dependencies (Installed Automatically)

Python: >= 3.9 (3.9, 3.10, 3.11, 3.12 supported)

Core Libraries:

• httpx >= 0.24, < 1.0 (HTTP client)
• websockets >= 11, < 13 (WebSocket support)
• loguru >= 0.7, < 1.0 (Logging)
• requests >= 2.28, < 3.0 (HTTP requests)

Audio Processing (for all services):

• numpy >= 1.24.0, < 2.0 (Audio processing)
• soundfile >= 0.12, < 0.14 (Audio I/O)
• librosa >= 0.10, < 1.0 (Audio analysis - denoise)
• websocket-client >= 1.5, < 2.0 (WebSocket streaming)

Development (optional - pip install fonadalabs[dev]):

• pytest >= 7.0, < 8.0
• black >= 23.0, < 24.0
• isort >= 5.0, < 6.0
• python-dotenv >= 1.0, < 2.0
• nest-asyncio >= 1.5, < 2.0
• build >= 0.10.0
• twine >= 4.0.0

Contributing

We welcome contributions! Please see our contributing guidelines and feel free to submit pull requests.

License

MIT License - see LICENSE file for details.

Copyright (c) 2025 FonadaLabs

Support

• 📧 Email: [e-mail]
• 🐛 Issues: GitHub Issues
• 📖 Documentation:
  • TTS Quickstart
  • ASR Authentication
  • Denoise SDK
• 🌐 Website: https://fonadalabs.com
• 💬 Community: Discord (if available)

Version

Current version: 2.0.0 (Unified SDK)

Version History

• v2.0.0 (2025-12-05): Multi-language TTS support
  • Added language parameter to all TTS methods
  • Supports 4 languages: Hindi, English, Tamil, Telugu
  • Updated SDK documentation
• v1.0.0 (2025-10-16): Unified package with TTS, ASR, and Denoise
  • Base URL security lockdown
  • Required API key authentication for all endpoints
  • Comprehensive error handling with specific exception types
  • WebSocket streaming support for all services
  • Async/await support
  • Batch processing capabilities

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