Canopy Labs vs WhisperBot

Comparing the features of Canopy Labs to WhisperBot

Feature
Canopy Labs
WhisperBot

Capability Features

Content Auto-Deletion
30 minutes
Database Erasure Policy
Demo Availability
Emotion Tags
normalslowcryingsleepysighchuckle
End-to-End Encryption
Guided Emotion and Intonation
Handles Disfluencies
High Accuracy Model
95%
Input Streaming for Lower Latency
Instant Transcription
Key Takeaways Feature
Llama Architecture
Llama
LLM-based Customizability
Model Tokenizer Type
Non-streaming (CNN-based) tokenizer
Multi-language Support
57
No Extra App Required
Open Source Release Planned
Orpheus Speech Models
Medium (3B)Small (1B)Tiny (400M)Nano (150M)
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Pretrained and Finetuned Models
Pretrained modelsFinetuned models
Realtime Streaming
Sample Finetuning Scripts
Sliding Window Detokenizer
Speech to Text
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

Baseten 1-Click Deployment
GitHub Repository Access
Google Colab Notebook
Hugging Face Model Access
LLama Ecosystem Support
Python Package for Streaming
WhatsApp Integration

Limitation Features

English Language Only
No API Mentioned
No API or Plugin Integration
No Explicit Pricing Details
No Export Features
No Manual Data Retention
No Mention of File Format Support
WhatsApp Only

Pricing Features

Has Free Tier
One-Time Payment