Canopy Labs vs Vocol AI

Comparing the features of Canopy Labs to Vocol AI

Feature
Canopy Labs
Vocol AI

Capability Features

Action Items Extraction
AI-Generated Summaries
Analytics Dashboard
Automatic Transcription
Collaboration Features
ShareCommentDiscussOnline Collaboration
Demo Availability
Emotion Tags
normalslowcryingsleepysighchuckle
Guided Emotion and Intonation
Handles Disfluencies
Highlight Hub
Input Streaming for Lower Latency
Keyword Search
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
Streaming Inference Speed
Faster than playback on A100 40GB for 3B model
Supported Language List
EnglishChineseJapanese
Text to Speech
Topic Highlights
Training Data Volume
100k+ hours of speech, billions of text tokens
Transcript Editing
Transcript Translation
Zero-Shot Voice Cloning

Integration Features

API/Tool Stack Integration
Baseten 1-Click Deployment
GitHub Repository Access
Google Colab Notebook
Hugging Face Model Access
LLama Ecosystem Support
Meeting Recording Integration
Microsoft TeamsConference Systems
More Platform Integrations Planned
Python Package for Streaming

Limitation Features

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

Other Features

Sign-up Time
2 mins
Supported Payment Methods
Debit cardCredit cardWire transfer (Business license)

Pricing Features

Free Tier
Free Trial Package
No Hidden Fees
Transcription Cost Per Minute
1
V-Points Allocation
200