Murf AI, a trusted leader in ethical, enterprise-grade voice solutions, announced the launch of Murf Falcon, the world’s fastest and most efficient text-to-speech API. Murf Falcon empowers developers, startups, and enterprises to build seamless, high-performance voice agents without compromise. Featuring an ultra-low model latency of 55ms, support for 35+ languages, data residency across 11 regions and performance that outpaces ElevenLabs, Deepgram, and Cartesia in production environments, Falcon sets a new benchmark for Text-to-Speech API.
Featuring an ultra-low model latency of 55ms, support for 35+ languages, data residency across 11 regions and performance that outpaces ElevenLabs, Deepgram, and Cartesia in production environments, Falcon sets a new benchmark for Text-to-Speech API.
“Developers often face trade-offs between responsiveness, naturalness, and cost when working with low-latency text-to-speech systems,” said Ankur Edkie, Co-founder and CEO of Murf AI. “With Murf Falcon, those tradeoffs are gone. Falcon was designed with a lightweight architecture, custom-built for voice agents. It uses a compute-efficient proprietary neural architecture that outperforms much larger systems in context awareness, while delivering the speed benefits of a smaller model. It is ultra-fast, precise and efficient.”
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Murf Falcon outperforms other text-to-speech models on:
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From global e-commerce platforms enhancing multilingual customer interactions to healthcare providers scaling patient-facing virtual assistants, Murf Falcon’s text-to-speech API powers streaming, natural-sounding voice output that’s faster, smarter, and more reliable. It’s a text-to-speech API you can trust, backed by Murf AI’s commitment to data privacy, transparency, and ethical AI.
The post Murf AI Launches Falcon, the Text-to-Speech API That Outperforms ElevenLabs with 55ms Model Latency Across 35+ Languages first appeared on PressReleaseCC.
Murf AI Launches Falcon, the Text-to-Speech API That Outperforms ElevenLabs with 55ms Model Latency Across 35+ Languages first appeared on Web and IT News.
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