What is Voicemaker?
Voicemaker is a sophisticated text-to-speech platform that leverages advanced neural network technologies including XTTS2 and FastSpeech2 to generate ultra-realistic voice content. The platform processes over 180 million characters daily and serves more than 3 million registered users across 120 countries.
The service combines proprietary voice architecture with advanced vocoders to deliver natural-sounding speech synthesis, making it ideal for creating audiobooks, podcasts, YouTube content, e-learning materials, and IVR systems. With support for multiple audio formats and customizable voice parameters, users can fine-tune their voice outputs for professional results.
Features
- Multi-language Support: 140+ languages available
- Voice Library: 1000+ default voices and 100+ pro voices
- Audio Customization: Adjustable pitch, speed, volume, and voice effects
- SSML Support: Advanced markup language support for precise voice control
- Cloud Storage: Up to 20GB storage for premium plans
- Multi-Voice Editor: Create conversations with multiple voices
- Background Music: Integration of background tracks
- High-Quality Output: Support for multiple audio formats up to 48kHz
Use Cases
- Audiobook Creation
- Podcast Production
- YouTube Video Narration
- E-learning Content
- Sales and Marketing Videos
- IVR System Messages
- Call Center Automation
- Mobile App Voice Integration
FAQs
-
How many hours of voiceover can I create with 500,000 characters?
500,000 text characters are equivalent to 12 to 13 hours of text to speech voice-over audio generation. -
What technologies power Voicemaker's Text-to-Speech?
Voicemaker uses neural network-based technologies such as XTTS2, FastSpeech2, and a combination of open-source and proprietary libraries, integrated with unique Voice Architecture and advanced Vocoders. -
Who owns the copyright for generated audio?
Paid plan subscribers own the full copyright of any voice speech generated using Voicemaker, forever.
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Voicemaker Uptime Monitor
Average Uptime
99.7%
Average Response Time
385.33 ms
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