Canopy Labs vs AssemblyAI

Comparing the features of Canopy Labs to AssemblyAI

Feature
Canopy Labs
AssemblyAI

Capability Features

Auto-Language Detection
Demo Availability
Emotion Tags
normalslowcryingsleepysighchuckle
Guided Emotion and Intonation
Handles Disfluencies
Industry Leading Accuracy
Input Streaming for Lower Latency
Keyterms Prompting
Llama Architecture
Llama
LLM-based Customizability
Model Tokenizer Type
Non-streaming (CNN-based) tokenizer
No-Code Playground
Open Source Release Planned
Orpheus Speech Models
Medium (3B)Small (1B)Tiny (400M)Nano (150M)
Preferred by End Users
Preferred by 73% of end users
Pretrained and Finetuned Models
Pretrained modelsFinetuned models
Realtime Streaming
Reduced Hallucinations
Up to 30% less
Sample Finetuning Scripts
Scalable Platform
Sliding Window Detokenizer
Smart Formatting
Speaker Diarization
Speech Understanding
Speech-to-Text
Streaming Inference Speed
Faster than playback on A100 40GB for 3B model
Supported Audio Types
Pre-recorded and streaming audio
Text to Speech
Training Data Volume
100k+ hours of speech, billions of text tokens
Zero-Shot Voice Cloning

Integration Features

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

Limitation Features

English Language Only
No API Mentioned
No Explicit Feature Limits
No Explicit Pricing Details
No Mention of File Format Support
No Throttling

Pricing Features

Free API Trial
No Contracts
Pay as you go pricing