Canopy Labs vs WhisperUI

Comparing the features of Canopy Labs to WhisperUI

Feature
Canopy Labs
WhisperUI

Capability Features

Batch File Upload
Demo Availability
Desktop Version
Drag & Drop Upload
Edit Transcription
Emotion Tags
normalslowcryingsleepysighchuckle
Export SRT Subtitles
Fast Transcription Speed
Most files within a few minutes
File Browse Upload
Guided Emotion and Intonation
Handles Disfluencies
High Accuracy Model
High (depends on audio quality)
Input Streaming for Lower Latency
Llama Architecture
Llama
LLM-based Customizability
Model Tokenizer Type
Non-streaming (CNN-based) tokenizer
Multi-Language 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
Speech to Text
Streaming Inference Speed
Faster than playback on A100 40GB for 3B model
Supported Language List
EnglishSpanishFrenchGermanChineseand more
Text to Speech
Training Data Volume
100k+ hours of speech, billions of text tokens
Translation to English
Unlimited Daily Uploads
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
Supported Audio Types
mp3mp4mpegmpgam4awavoggwebm

Limitation Features

English Language Only
File Size Limit
25
No API Mentioned
No Explicit Pricing Details
No Internal Billing
No Mention of File Format Support
OpenAI API Key Required
Web App Only

Other Features

API Key Stored Locally

Pricing Features

Direct API Usage Billing
OpenAI API usage billing
Has Free Tier
Premium Plan Features
Upload multiple files at onceUnlimited daily files uploadTransform audio files into SRT files