Canopy Labs vs Speechly

Comparing the features of Canopy Labs to Speechly

Feature
Canopy Labs
Speechly

Capability Features

Automatic Formatting
Custom Vocabulary Support
Custom Voice Commands
Demo Availability
Email Mode
Emotion Tags
normalslowcryingsleepysighchuckle
Enterprise Grade Security
Fast Transcription Speed
Under 3 seconds
Guided Emotion and Intonation
Handles Disfluencies
Input Streaming for Lower Latency
Llama Architecture
Llama
LLM-based Customizability
Long-Form Resilience
Message Mode
Model Tokenizer Type
Non-streaming (CNN-based) tokenizer
Multilingual Support
150+ languages
No Missed Context
Open Source Release Planned
Orpheus Speech Models
Medium (3B)Small (1B)Tiny (400M)Nano (150M)
Pretrained and Finetuned Models
Pretrained modelsFinetuned models
Prompt Mode
Realtime Streaming
Sample Finetuning Scripts
Sliding Window Detokenizer
Streaming Inference Speed
Faster than playback on A100 40GB for 3B model
Text to Speech
To-Do Mode
Training Data Volume
100k+ hours of speech, billions of text tokens
Transcription Speed
180+ words per minute
Voice-to-Text
Works Across Apps
Zero-Shot Voice Cloning

Integration Features

Baseten 1-Click Deployment
GitHub Repository Access
Google Colab Notebook
Hugging Face Model Access
LLama Ecosystem Support
Platform Integrations
GmailSlackNotionDiscord
Python Package for Streaming
Supported Platforms
MacOS

Limitation Features

API or Plugin Integration
English Language Only
File Formats Supported
Not specified
Minimum OS Requirements
MacOS Ventura 13.1 or higher
No API Mentioned
No Explicit Pricing Details
No Mention of File Format Support
Platform Limitation
MacOS only
User Limit
Not specified

Pricing Features

Free Tier
No Credit Card Required