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Murf Falcon 2

Murf Falcon 2

Fastest, most-natural TTS at $0.01/minute

0upvotes
Launched September 4, 2026

About Murf Falcon 2

Murf Falcon 2 is a cutting-edge real-time text-to-speech (TTS) model designed for high-performance voice applications. It offers natural-sounding speech across 150+ voices in over 35 languages, with the ability to switch voices mid-sentence, making it ideal for dynamic conversational AI, voice assistants, and multilingual customer support. Its standout feature is its speed — delivering sub-100ms time-to-first-byte across 32 global edge locations — ensuring seamless, real-time interactions. Priced at just $0.01 per minute, Falcon 2 is remarkably affordable, significantly undercutting comparable models, and supporting large-scale deployments like AI receptionists, call centers, and on-premise voice solutions with up to 10,000 concurrent calls. Its low latency, extensive language and voice options, and cost-effectiveness make it a compelling choice for developers seeking scalable, natural voice synthesis.

Screenshots

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Pros

  • Exceptional real-time performance with sub-100ms latency
  • Wide variety of voices and languages, with mid-sentence switching
  • Highly affordable at $0.01/minute for large-scale use
  • Supports on-premises deployment for enterprise needs
  • Global edge locations for fast, reliable access

Cons

  • Limited information on customization and voice editing features
  • No user ratings or reviews available yet
  • Pricing details beyond per-minute cost are not provided

Use Cases

1AI-powered receptionists and virtual assistants
2Call center automation and interactive voice response (IVR) systems
3Multilingual customer support and support bots
4Conversational AI for chatbots with voice capabilities
5Real-time voice translation and multilingual communication
6On-premise voice agent deployment for enterprise security

Pricing

Pricing not verified

Quick Info

Upvotes0
Comments2
Launched9/4/2026

Topics

APIDeveloper ToolsAudio

Makers

Divyanshu Pandey

Divyanshu Pandey

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