Canopy Labs vs OpenAI Whisper Transcription

Comparing the features of Canopy Labs to OpenAI Whisper Transcription

Feature
Canopy Labs
OpenAI Whisper Transcription

Capability Features

Audio Transcription
Audio Upload
Browser-Based Partitioning
Demo Availability
Demo Mode
Emotion Tags
normalslowcryingsleepysighchuckle
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
One-Click Transcription
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
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
OpenAI Whisper Integration
Python Package for Streaming
Supported Audio Types
mp3mp4mpegmpgam4awavwebm

Limitation Features

English Language Only
No API Mentioned
No Built-in Whisper
No Explicit Pricing Details
No Mention of File Format Support
No Mention of Price Plans
Requires OpenAI API Key

Pricing Features

Free Trial/Demo