LFM2-Audio defines a new class of audio foundation models: lightweight, multimodal, and real-time. By unifying audio understanding and generation in one compact system, it enables conversational AI on devices where speed, privacy, and efficiency matter most.
Liquid AI's new LFM2-Audio unifies the entire voice stack into a single model.
The traditional (and still mainstream) way to build voice apps is complex. You have to chain together STT -> LLM -> TTS. It's slow, complex, and not ideal for on-device use.
LFM2-Audio is trying to fix this by integrating that whole process into one lightweight, end-to-end model. It's a 1.5B model that handles speech-to-speech, speech-to-text, and text-to-speech all on its own.
It's built for on-device use and is under 100ms latency, incredibly fast!
About LFM2-Audio on Product Hunt
“Real-time audio conversations on-device”
LFM2-Audio launched on Product Hunt on October 3rd, 2025 and earned 131 upvotes and 4 comments, placing #12 on the daily leaderboard. LFM2-Audio defines a new class of audio foundation models: lightweight, multimodal, and real-time. By unifying audio understanding and generation in one compact system, it enables conversational AI on devices where speed, privacy, and efficiency matter most.
On the analytics side, LFM2-Audio competes within Privacy, Artificial Intelligence and Audio — topics that collectively have 479.3k followers on Product Hunt. The dashboard above tracks how LFM2-Audio performed against the three products that launched closest to it on the same day.
Who hunted LFM2-Audio?
LFM2-Audio was hunted by Zac Zuo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of LFM2-Audio including community comment highlights and product details, visit the product overview.
Zac Zuo
Hi everyone!
Liquid AI's new LFM2-Audio unifies the entire voice stack into a single model.
The traditional (and still mainstream) way to build voice apps is complex. You have to chain together STT -> LLM -> TTS. It's slow, complex, and not ideal for on-device use.
LFM2-Audio is trying to fix this by integrating that whole process into one lightweight, end-to-end model. It's a 1.5B model that handles speech-to-speech, speech-to-text, and text-to-speech all on its own.
It's built for on-device use and is under 100ms latency, incredibly fast!