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Orpheus TTS Text to Speech

fal-ai/orpheus-tts
Orpheus TTS is a state-of-the-art, Llama-based Speech-LLM designed for high-quality, empathetic text-to-speech generation. This model has been finetuned to deliver human-level speech synthesis, achieving exceptional clarity, expressiveness, and real-time performances.
Inference
Commercial use
Schema
LLMs
PlaygroundAPI

Input

Additional Settings

Customize your input with more control.

Result

Idle

What would you like to do next?

Your request will cost $0.05 per 1000 character.

Logs

Orpheus TTS | [text-to-speech]

Orpheus TTS delivers human-level speech synthesis at $0.05 per 1,000 characters, trading raw speed for emotional expressiveness through its Llama-based Speech-LLM architecture. Built on a foundation of *empathetic voice generation, this model prioritizes natural prosody and clarity over the mechanical efficiency of traditional concatenative systems. Ideal for developers building conversational AI, audiobook narration, or accessibility tools where voice quality directly impacts user engagement.

Use Cases: Voice Agents & Assistants | Content Narration & Audiobooks | Accessibility Tools & Screen Readers

Performance

At $0.05 per 1,000 characters, Orpheus TTS positions itself in the mid-tier pricing range for text-to-speech, delivering exceptional clarity and expressiveness for applications where voice quality justifies the cost premium.

MetricResultContext
ArchitectureLlama-based Speech-LLMFinetuned for empathetic, human-level synthesis
Voice Options8 distinct voicesTara, Leah, Jess, Leo, Dan, Mia, Zac, Zoe
Cost per 1,000 Characters$0.0520 generations per $1.00 on fal
Emotional Control8 emotive tagsExcitement, fear, anger, sadness, surprise, disgust, happiness, neutral
Output FormatWAV audioDirect HTTP URL delivery
Related EndpointsElevenLabs Text to AudioAlternative TTS with different voice profiles

Emotional Intelligence Built Into Speech Generation

Orpheus TTS breaks from traditional text-to-speech architectures by integrating emotional understanding directly into the generation process. Where most TTS models treat text as a sequence of phonemes to render, this Llama-based approach interprets semantic meaning and emotional context before producing audio, similar to how a human voice actor reads a script.

What this means for you:

  • Granular Emotional Control: Eight distinct emotive tags (`<excited>`, `<fearful>`, `<angry>`, `<sad>`, `<surprised>`, `<disgusted>`, `<happy>`, `<neutral>`) let you shape delivery at the phrase level, not just globally

  • Creative Temperature Tuning: Adjust generation temperature (0-2 range) to balance consistency versus expressive variation, lower for technical narration, higher for storytelling

  • Stable Long-Form Generation: Repetition penalty parameter (1.1-2 range) prevents audio artifacts and monotonous loops during extended speech synthesis

  • Production-Ready Output: Direct WAV file delivery via fal's API with no post-processing required for most applications

Technical Specifications

SpecDetails
ArchitectureLlama-based Speech-LLM
Input FormatsPlain text with optional emotive tags
Output FormatsWAV audio (HTTP URL delivery)
Voice Selection8 distinct voice profiles
LicenseCommercial use permitted

API Documentation | Quickstart Guide | Enterprise Pricing

How It Stacks Up

ElevenLabs Text to Audio – Orpheus TTS prioritizes emotional granularity through inline emotive tags and temperature control. ElevenLabs emphasizes voice cloning and multi-language support for enterprise workflows requiring custom voice profiles and broader language coverage.