Canopy Labs vs Transkriptor

Comparing the features of Canopy Labs to Transkriptor

Feature
Canopy Labs
Transkriptor

Capability Features

100+ Languages Supported
100
99% Accuracy
99%
AI Transcription
Audio and Video Input
AudioVideo
Call Transcription
Demo Availability
Emotion Tags
normalslowcryingsleepysighchuckle
Guided Emotion and Intonation
Handles Disfluencies
Input Streaming for Lower Latency
Instant Transcription
Interview Transcription
Llama Architecture
Llama
LLM-based Customizability
Meeting Transcription
Model Tokenizer Type
Non-streaming (CNN-based) tokenizer
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
Python Package for Streaming

Limitation Features

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

Pricing Features

Free Tier