audial-sdk 1.0.3

Python SDK for the Audial audio processing API

Audial SDK

A powerful Python SDK for audio analysis and manipulation through the Audial API.

Overview

The Audial SDK provides a user-friendly interface to Audial's powerful audio processing capabilities. With just a few lines of code, you can perform professional-grade audio operations including:

• Stem Splitting: Separate tracks into individual components (vocals, drums, bass, other)
• Audio Analysis: Extract BPM, key signatures, and other audio metadata
• Audio Segmentation: Identify logical sections in audio tracks
• Audio Mastering: Apply professional mastering to your tracks
• Sample Pack Generation: Create reusable samples from audio tracks
• MIDI Generation: Convert audio to MIDI data

The SDK supports both a Python API for integration into your projects and a command-line interface for direct use.

Installation

Prerequisites

Before installing the Audial SDK, ensure you have the following:

• Python 3.7 or higher
• pip package manager (typically included with Python)
• An Audial API key and User ID (obtain from the Audial website)

Installation Methods

1. Install from PyPI (Recommended)

The simplest way to install the Audial SDK is via pip:

pip install audial-sdk

2. Install from Source

If you want the latest development version, you can install directly from the GitHub repository:

# Clone the repository
git clone https://github.com/audial/audial-sdk.git

# Navigate to the project directory
cd audial-sdk

# Install the package
pip install -e .

Configuration

After installation, you need to configure your API key and User ID. You have several options:

Option 1: Environment Variables

Set the AUDIAL_API_KEY and AUDIAL_USER_ID environment variables:

Linux/macOS:

export AUDIAL_API_KEY=your_api_key_here
export AUDIAL_USER_ID=your_user_id_here

Windows (Command Prompt):

set AUDIAL_API_KEY=your_api_key_here
set AUDIAL_USER_ID=your_user_id_here

Windows (PowerShell):

$env:AUDIAL_API_KEY = "your_api_key_here"
$env:AUDIAL_USER_ID = "your_user_id_here"

Option 2: .env File

Create a file named .env in your project directory:

AUDIAL_API_KEY=your_api_key_here
AUDIAL_USER_ID=your_user_id_here

Option 3: Configuration Command

Use the built-in configuration command:

# Set API key via CLI
audial config --api-key your_api_key_here

# Set User ID via CLI
audial config --user-id your_user_id_here

# Set results folder
audial config --results-folder path/to/results/folder

# Show current configuration
audial config --show

Option 4: Python Code

Set the API key and User ID programmatically in your Python code:

import audial
audial.config.set_api_key("your_api_key_here")
audial.config.set_user_id("your_user_id_here")

Setting Results Folder

By default, all results are saved to ./audial_results/. You can change this:

# In Python
audial.config.set_results_folder("path/to/custom/folder")

# Or via command line
audial config --results-folder path/to/custom/folder

Verifying Installation

You can verify that the SDK is correctly installed and configured:

# Check the version
python -c "import audial; print(audial.__version__)"

# Check configuration
audial config --show

Troubleshooting Installation

If you encounter issues during installation:

Dependency Issues

If you have dependency conflicts, try installing in a virtual environment:

# Create and activate a virtual environment
python -m venv audial-env
source audial-env/bin/activate  # Linux/macOS
# or
audial-env\Scripts\activate  # Windows

# Install the SDK
pip install audial-sdk

Permission Issues

If you encounter permission errors during installation:

# Install for the current user only
pip install --user audial-sdk

API Key or User ID Issues

If you get authentication errors:

1. Verify your API key and User ID are correct
2. Check that they are being properly set/loaded
3. Ensure your account has the necessary permissions

Quick Start

import audial

# Configure your API key and User ID
audial.config.set_api_key("your_api_key_here")
audial.config.set_user_id("your_user_id_here")

# Stem splitting
result = audial.stem_split("path/to/audio.mp3")
print(f"Vocals saved to: {result['files']['files']['vocals.mp3']}")
print(f"Drums saved to: {result['files']['files']['drums.mp3']}")

# Audio analysis
analysis = audial.analyze("path/to/audio.mp3")
print(f"BPM: {analysis['analysis']['bpm']}")
print(f"Key: {analysis['analysis']['key']}")

Core Functions

Stem Splitting

Split an audio track into its component parts:

# Basic stem splitting
result = audial.stem_split("path/to/audio.mp3")

# Advanced options
result = audial.stem_split(
    "path/to/audio.mp3",
    stems=["vocals", "drums", "full_song_without_vocals"],
    target_bpm=120,
    target_key="Cmaj",
    algorithm="primaudio"  # or "quintessound"
)

Available stems:

• vocals - Vocal track
• drums - Drum track
• bass - Bass track
• other - All other instruments
• full_song_without_vocals - Full mix minus vocals
• full_song_without_drums - Full mix minus drums
• full_song_without_bass - Full mix minus bass
• full_song_without_other - Full mix minus other instruments

Audio Analysis

Extract metadata from an audio track:

analysis = audial.analyze("path/to/audio.mp3")
print(f"BPM: {analysis['analysis']['bpm']}")
print(f"Key: {analysis['analysis']['key']}")

Audio Segmentation

Segment an audio track into sections and extract features:

segments = audial.segment(
    "path/to/audio.mp3",
    components=["bass", "beat", "melody", "vocal"],
    analysis_type="select_features",
    features=["energy", "tempo", "loudness", "danceability"],
    genre="electronic"
)

Audio Mastering

Apply professional mastering to your tracks:

# Basic mastering
mastered = audial.master("path/to/audio.mp3")

# With reference track
mastered = audial.master(
    "path/to/audio.mp3",
    reference_file="path/to/reference.mp3"
)

Sample Pack Generation

Generate a sample pack from an audio track:

samples = audial.generate_samples(
    "path/to/audio.mp3",
    job_type="sample_pack",
    components=["drums", "bass", "melody"],
    genre="Tech House"
)

MIDI Generation

Convert audio to MIDI:

# Single file
midi = audial.generate_midi("path/to/audio.mp3", bpm=120)

# Multiple files
midi = audial.generate_midi(
    ["path/to/file1.mp3", "path/to/file2.mp3"],
    bpm=140
)

Command Line Interface

The SDK provides a powerful command-line interface:

# Stem splitting
audial stem-split audio.mp3 --stems vocals,drums,bass,other

# Audio analysis
audial analyze audio.mp3

# Segmentation
audial segment audio.mp3 --features energy,loudness,danceability

# Mastering
audial master audio.mp3 --reference reference.mp3

# Sample pack generation
audial generate-samples audio.mp3 --components drums,bass,melody

# MIDI generation
audial generate-midi audio.mp3 --bpm 120

# Configuration
audial config --api-key your_api_key_here
audial config --user-id your_user_id_here
audial config --results-folder path/to/results
audial config --show

Result Format

All functions return a consistent result structure:

{
    "execution": {
        # API response data
        "exeId": "execution-id",
        "state": "completed",
        # Other execution data...
    },
    "files": {
        "folder": "./audial_results/execution-id_function-type",
        "files": {
            "filename1.mp3": "./audial_results/execution-id_function-type/filename1.mp3",
            "filename2.mp3": "./audial_results/execution-id_function-type/filename2.mp3",
            # Other downloaded files...
        }
    }
}

Error Handling

from audial.api.exceptions import AudialError, AudialAuthError, AudialAPIError

try:
    result = audial.stem_split("path/to/audio.mp3")
except AudialAuthError as e:
    print(f"Authentication error: {e}")
except AudialAPIError as e:
    print(f"API error: {e}")
except AudialError as e:
    print(f"General error: {e}")

Advanced Usage

See the API Documentation for detailed information about all functions and their parameters.

Examples

The SDK includes example scripts in the examples directory:

• Stem Splitting
• Audio Analysis
• Audio Segmentation
• Audio Mastering
• Sample Pack Generation
• MIDI Generation

License

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

Support

For issues, questions, or feedback, please create an issue on our GitHub repository or contact [e-mail].