Canopy Labs vs Voxabot

Comparing the features of Canopy Labs to Voxabot

Feature
Canopy Labs
Voxabot

Capability Features

Automatic Engine Updates
Demo Availability
Emotion Tags
normalslowcryingsleepysighchuckle
Export SSML
Guided Emotion and Intonation
Handles Disfluencies
Input Streaming for Lower Latency
Llama Architecture
Llama
LLM-based Customizability
Model Tokenizer Type
Non-streaming (CNN-based) tokenizer
Open Source Release Planned
Orpheus Speech Models
Medium (3B)Small (1B)Tiny (400M)Nano (150M)
Pretrained and Finetuned Models
Pretrained modelsFinetuned models
Realtime Streaming
Sample Finetuning Scripts
Sliding Window Detokenizer
SSML Editor
SSML Support
Streaming Inference Speed
Faster than playback on A100 40GB for 3B model
Supported Language List
150
Supported Voices
820
Text to Speech
GoogleAzureAWS
Training Data Volume
100k+ hours of speech, billions of text tokens
Unified API Login
User Data Privacy
Visual Edit Preview
Waveform Visualization
Zero-Shot Voice Cloning

Integration Features

Baseten 1-Click Deployment
GitHub Repository Access
Google Colab Notebook
Hugging Face Model Access
LLama Ecosystem Support
Python Package for Streaming
SSML Download Format
text file

Limitation Features

English Language Only
No API Mentioned
No Explicit Pricing Details
No Mention of File Format Support
No Microsoft Azure Subscription Required

Pricing Features

Free Tier
Neural TTS Pricing Parity
No Royalties
Pricing Plan Details