AI Voice Generator

Overview

AI Voice Generator creates realistic speech audio from text using celebrity and character voices. The API produces high-quality voice synthesis with natural intonation, emotion, and speaking patterns that closely match famous personalities.

API Spec

See API details

Product Page

Learn more about AI Voice Generator

How It Works

Write the text - Enter the text you want spoken
Select a voice - Choose from available celebrity and character voices
API generates audio - AI synthesizes natural-sounding speech
Download the result - Retrieve your audio file

Use Cases

Content creation - Voice narration for videos and podcasts
Personalized messages - Custom voice messages and greetings
Entertainment - Create fun content with celebrity voices
Accessibility - Text-to-speech with engaging voices
Marketing - Voiceovers for ads and promotional content

Available Voices

Magic Hour offers a variety of celebrity and character voices:

Tech Leaders - Elon Musk, Mark Zuckerberg
Podcasters - Joe Rogan
Politicians - Obama, Trump
Entertainers - Various celebrity voices
Characters - Fictional character voices

For the complete list of available voices, check the API Reference.

Best Practices

Text Guidelines

Write naturally - Use conversational language that sounds good when spoken aloud.

Natural punctuation - Use periods, commas, and question marks for natural pauses
Avoid abbreviations - Write out words fully (e.g., “Mister” not “Mr.”)
Short sentences - Break long text into shorter, digestible sentences
Read it aloud - Test how text sounds before generating

Optimizing Output Quality

Technique	Why It Helps
Natural punctuation	Creates appropriate pauses and intonation
Phonetic spelling	Helps with unusual words or names
Sentence breaks	Improves rhythm and comprehension
Consistent tone	Matches voice personality

Text Length Considerations

Short clips - 1-2 sentences work great for social media
Medium content - Paragraphs work well for narration
Long content - Consider breaking into multiple clips for variety

Code Examples

Basic Voice Generation

from magic_hour import Client
from os import getenv

client = Client(token=getenv("API_TOKEN"))

result = client.v1.ai_voice_generator.generate(
    style={
        "prompt": "Hello! This is a test of the Magic Hour voice generator. Pretty cool, right?",
        "voice_name": "Morgan Freeman"
    },
    name="Voice Generator audio",
    wait_for_completion=True,
    download_outputs=True,
    download_directory="outputs"
)

if result.status == "complete":
    print(f"✅ Voice generation complete!")
    print(f"Downloaded to: {result.downloaded_paths}")
    print(f"Credits charged: {result.credits_charged}")
else:
    print(f"❌ Job failed with status: {result.status}")
    if hasattr(result, 'error_message'):
        print(f"Error: {result.error_message}")

Podcast-Style Voice

result = client.v1.ai_voice_generator.generate(
    style={
        "prompt": "Welcome to the show! Today we're going to talk about something really exciting.",
        "voice_name": "Joe Rogan"
    },
    name="Voice Generator audio",
    wait_for_completion=True,
    download_outputs=True,
    download_directory="outputs"
)

if result.status == "complete":
    print(f"✅ Voice generation complete!")
    print(f"Downloaded to: {result.downloaded_paths}")
    print(f"Credits charged: {result.credits_charged}")
else:
    print(f"❌ Job failed with status: {result.status}")
    if hasattr(result, 'error_message'):
        print(f"Error: {result.error_message}")

Professional Narration

result = client.v1.ai_voice_generator.generate(
    style={
        "prompt": "In a world where technology meets creativity, Magic Hour brings your ideas to life.",
        "voice_name": "Donald Trump"
    },
    name="Voice Generator audio",
    wait_for_completion=True,
    download_outputs=True,
    download_directory="outputs"
)

if result.status == "complete":
    print(f"✅ Voice generation complete!")
    print(f"Downloaded to: {result.downloaded_paths}")
    print(f"Credits charged: {result.credits_charged}")
else:
    print(f"❌ Job failed with status: {result.status}")
    if hasattr(result, 'error_message'):
        print(f"Error: {result.error_message}")

Combining with Lip Sync

Generate a voice, then sync it to a video:

Python

from magic_hour import Client
from os import getenv

client = Client(token=getenv("API_TOKEN"))

# Step 1: Generate the voice
from pathlib import Path

# Make sure download dirs exist
Path("temp").mkdir(parents=True, exist_ok=True)
Path("outputs").mkdir(parents=True, exist_ok=True)

# Step 1: Generate the voice
voice_result = client.v1.ai_voice_generator.generate(
    style={
        "prompt": "This is my custom voiceover for the video.",
        "voice_name": "Elon Musk",
    },
    name="Voice Generator audio",
    wait_for_completion=True,
    download_outputs=True,
    download_directory="temp",
)

# Step 2: Use the generated audio for lip sync
lip_sync_result = client.v1.lip_sync.generate(
    assets={
        "video_file_path": "https://raw.githubusercontent.com/runshouse/Sample_Assets/main/sideeyegirl.mp4",
        "audio_file_path": voice_result.downloaded_paths[0],  # local path now exists
        "video_source": "file",  # see note below
    },
    start_seconds=0,
    end_seconds=2,
    max_fps_limit=30,
    style={"generation_mode": "lite"},
    name="Lip Synced Video",
    wait_for_completion=True,
    download_outputs=True,
    download_directory="outputs",
)

print("voice_status:", voice_result.status, "paths:", getattr(voice_result, "downloaded_paths", None))
print("lip_status:", lip_sync_result.status, "paths:", getattr(lip_sync_result, "downloaded_paths", None))

Pricing

Voice generation uses credits based on text length:

Text Length	Approximate Credits
Short (1-2 sentences)	~5 credits
Medium (paragraph)	~10-20 credits
Long (multiple paragraphs)	~30+ credits

Try this in our Google Colab Cookbook: Run this API with sample code. Just add your API key.

API Reference