Canopy Labs vs Vocea

Comparing the features of Canopy Labs to Vocea

Feature
Canopy Labs
Vocea

Capability Features

Appointment Scheduling
Available 24/7
Data Security
Demo Availability
Double-Booking Prevention
Emotion Tags
normalslowcryingsleepysighchuckle
Fast Setup
Guided Emotion and Intonation
Handles Disfluencies
Hands-Free Management
Input Streaming for Lower Latency
Instant Confirmations
Llama Architecture
Llama
LLM-based Customizability
Model Tokenizer Type
Non-streaming (CNN-based) tokenizer
Modify & Cancel Requests
Open Source Release Planned
Orpheus Speech Models
Medium (3B)Small (1B)Tiny (400M)Nano (150M)
Phone Number Porting
Pretrained and Finetuned Models
Pretrained modelsFinetuned models
Real-Time Calendar Sync
Realtime Streaming
Sample Finetuning Scripts
Sliding Window Detokenizer
Smart Assignation
Streaming Inference Speed
Faster than playback on A100 40GB for 3B model
Text to Speech
Training Data Volume
100k+ hours of speech, billions of text tokens
Zero-Shot Voice Cloning

Integration Features

API Access
Baseten 1-Click Deployment
Booking Tool Integrations
CalendlyCal.comAcuity
Calendar Integrations
Google CalendarOutlookPreferred calendar
CRM API Integration
GitHub Repository Access
Google Colab Notebook
Hugging Face Model Access
LLama Ecosystem Support
Python Package for Streaming

Limitation Features

English Language Only
Manual Human Intervention
No API Mentioned
No Explicit Pricing Details
No Extra Hardware Needed
No Mention of File Format Support

Pricing Features

Affordable Pricing
Less than a virtual assistant
Has Free Tier
Pricing Plans
Trial Period