Efficient AI text-to-speech model with 82M parameters delivering natural-sounding voice synthesis
Browser-based voice cloning and text-to-speech platform supporting 83 languages
Stage
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Founded
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Based in
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Pricing model
Open source
Paid
Pricing
Free to use. Free Chrome Extension with 10,000 characters free every month.
Entry plan: 450 credits for $9; Standard plan: 950 credits for $19; Professional plan: 2,450 credits for $49; Flagship plan: 4,950 credits for $99. Voice cloning costs 100 credits per voice. Text-to-speech costs 1,500 credits per 1,000,000 UTF-8 bytes. Transcription costs 0.15 credits per second. Vo
Key features
82M parameter efficiency for lightweight, scalable performance
Multilingual support including English, French, Korean, Japanese, and Mandarin
Customizable voice packs with multiple lifelike voice options
Automatic content segmentation for chapter and section detection
OpenAI-compatible API endpoint for easy integration
Real-time audio generation with NVIDIA GPU acceleration
Processes up to 510 tokens in a single pass for longer audio outputs
Chrome extension for reading webpages aloud
Voice cloning from audio samples
Text-to-speech in 83 languages
Streaming output with ~90ms latency
Speech-to-text transcription
Voice design from text descriptions
200,000+ pre-built voice library
Emotion tags for speech generation
No GPU or software installation required
Key and audio encryption protection
Commercial usage rights for owned or consented voices
What makes it different
Outperforms larger models like XTTS (467M params) and MetaVoice (1.2B params) despite having only 82M parameters
Open-source and free for both commercial and personal use under Apache 2.0 license
Lightweight architecture enabling deployment on CPU and GPU with minimal resources
Trained on high-quality, permissively licensed audio for accurate natural-sounding speech
Designed for scalability while preserving excellent audio quality
Pay-as-you-go with no monthly subscription or expiring credits
Fast voice cloning from 10-second audio samples
Support for 83 languages with language-independent models