Orpheus TTS
Orpheus TTS is a state-of-the-art open-source text-to-speech system built on the Llama-3b backbone that generates remarkably human-like speech with natural intonation, emotion, and rhythm.
https://canopylabs.ai/releases/towards_human_sounding_tts?ref=aipure
Product Information
Updated:Jun 16, 2025
Orpheus TTS Monthly Traffic Trends
Orpheus TTS experienced a significant decline of -28.0% in traffic, with -15,860 fewer visits. While there is no direct information about recent updates or changes to Orpheus TTS, the broader AI market has seen rapid advancements and increased competition, particularly with major players like Google rolling out new AI features and tools.
What is Orpheus TTS
Orpheus TTS, developed by Canopy Labs, is a groundbreaking family of speech-LLMs designed for human-level speech generation. Released in March 2025, it comes in four sizes ranging from 150M to 3B parameters, making it highly versatile for different applications. What sets Orpheus apart is its ability to produce high-quality, emotionally intelligent speech that rivals and often surpasses leading closed-source alternatives like Eleven Labs and PlayHT. The system is built on Meta's Llama-3b architecture and has been trained on over 100,000 hours of English speech data and billions of text tokens.
Key Features of Orpheus TTS
Orpheus TTS is a state-of-the-art open-source text-to-speech system built on the Llama-3b backbone, released by Canopy Labs in March 2025. It offers human-like speech synthesis with natural intonation, emotion, and rhythm, supporting multiple languages and voices. The system features ultra-low latency real-time streaming, zero-shot voice cloning capabilities, and comes in various model sizes from 150M to 3B parameters, making it competitive with leading closed-source solutions.
Human-Like Speech Generation: Produces remarkably natural speech with appropriate intonation, emotion, and rhythm that rivals or surpasses commercial solutions
Ultra-Low Latency: Achieves 200ms base latency for real-time streaming, reducible to 25-50ms with input text caching
Zero-Shot Voice Cloning: Capable of cloning voices without prior fine-tuning, emerging from extensive pretraining data
Multiple Model Sizes: Available in four sizes (3B, 1B, 400M, 150M parameters) to accommodate different computational requirements
Use Cases of Orpheus TTS
Real-time Conversational AI: Powers customer service chatbots and virtual assistants with natural, empathetic voice responses
Accessibility Applications: Converts written content into natural-sounding speech for individuals with visual impairments or reading difficulties
Content Creation: Enables creation of audiobooks, podcasts, and voice-overs with customizable voices and emotions
Gaming and Entertainment: Provides dynamic voice acting for game characters and virtual anchors with emotional expression
Pros
Open-source and freely customizable
Competitive quality with commercial solutions
Low latency real-time streaming capability
Extensive language and voice support
Cons
Requires significant computational resources for larger models
Dataset sources not fully specified
Some reported bugs with recent vllm versions
How to Use Orpheus TTS
Install Orpheus TTS: cd Orpheus-TTS && pip install orpheus-speech. Note: Due to a buggy vllm version from March 18th, you may need to run 'pip install vllm==0.7.3' after installing orpheus-speech
Import required libraries: Import the necessary modules with: from orpheus_tts import OrpheusModel import wave import time
Initialize the model: Create model instance with: model = OrpheusModel(model_name='canopylabs/orpheus-tts-0.1-finetune-prod')
Select voice: Choose from available voices: 'tara', 'leah', 'jess', 'leo', 'dan', 'mia', 'zac', 'zoe' for English. These are listed in order of conversational realism
Add emotion tags (optional): Include emotion tags in your text like <laugh>, <chuckle>, <sigh>, <cough>, <sniffle>, <groan>, <yawn>, <gasp> to control expression
Generate speech: Pass your text with selected voice and optional emotion tags to the model to generate speech output. The model supports real-time streaming with ~200ms latency
For advanced usage: Check the Colab notebook or GitHub repository for more detailed examples including voice cloning and custom fine-tuning options: https://github.com/canopyai/Orpheus-TTS
Orpheus TTS FAQs
Orpheus TTS is a state-of-the-art open-source text-to-speech system built on the Llama-3b backbone, designed for high-quality, empathetic speech generation with natural intonation and emotion.
Orpheus TTS Video
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Analytics of Orpheus TTS Website
Orpheus TTS Traffic & Rankings
40.7K
Monthly Visits
#641689
Global Rank
-
Category Rank
Traffic Trends: Feb 2025-May 2025
Orpheus TTS User Insights
00:00:56
Avg. Visit Duration
2.67
Pages Per Visit
43.54%
User Bounce Rate
Top Regions of Orpheus TTS
US: 53.43%
IN: 10.43%
TW: 7.36%
KR: 3.63%
GB: 3.46%
Others: 21.68%
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