Loqua - Speak naturally and move from thoughts to being done
Your thoughts shouldn’t have to slow down for a keyboard. With Loqua, you can speak naturally to turn rough ideas into ready-to-use writing, understand what’s on your screen, listen when you’d rather not read, and move work forward by voice - from rewriting and translation to scheduling and coding workflows. Less typing, less context switching, more time in flow.
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How long does setup actually take? I don't want to spend 20 minutes configuring another AI tool.
@renchu_song It's designed to be pretty lightweight: install, sign in, grant the required permissions, and you're ready to go.
The omni model choice is the part that stands out to me, since most stacks still drop the screen context somewhere between ASR and the LLM. I work on voice AI for daily check-in calls with older adults, and the piece that never gets easier is endpointing: telling a real end of thought from a mid-sentence pause, which gets harder the more rambling the speech is. How does Loqua decide you are finished talking during a long dictation? And does the screen context feed into the rewrite step, or only into command routing?
@igorgurovich Great question! Endpointing is one of the areas where we really didn’t want to rely on a fixed silence threshold.
Loqua uses semantic VAD and semantic tokens alongside acoustic tokens, so the model is looking at cadence and intent, not just “how long has the user been quiet?” The goal is to distinguish a genuine end of thought from a mid-sentence pause, especially in longer or more meandering speech.
And yes, screen context can feed into the rewrite/understanding step too, not just command routing. We want the model to use what you’re looking at as part of understanding what you mean, rather than treating screen context as a separate routing signal.
Your use case with older adults sounds especially challenging btw: slow cadence, long pauses, background audio, and barge-in are exactly the kinds of cases where naive endpointing falls apart.