Voice agents should become more than transcription tools. Instead of simply turning speech into text, they should understand what users are trying to achieve. The same spoken idea may need to become a short Slack message, a detailed email, a technical issue, or a personal note. A useful voice agent should adapt automatically.
This is the direction Loqua is exploring: voice as an intelligent layer across the apps people already use. It can understand the current application, nearby content, personal vocabulary, and writing style, then shape spoken thoughts into something ready to use. Users should be able to speak naturally without organizing every sentence beforehand.
The next step is real-time duplex conversation. A good agent should know when someone has finished speaking, when they are only pausing, and when they want to interrupt. It should also recognize signals beyond words, such as emotion, hesitation, emphasis, and tone. Its own voice should feel equally natural, expressive, and appropriate to the situation.
Behind this conversation, the agent needs deeper capabilities. It should remember relevant context, think through difficult requests, use tools, and continue working after the conversation moves on. The voice experience remains fast and fluid, while more complex reasoning happens quietly in the background.
We all know that long-horizon coding tasks are difficult, but understanding long, multi-turn conversations is even harder. The agent must remain consistent, respond with the right emotion, use tools correctly, and remember what matters.
Agnes AI
Woooh - can Loqua keep the original speaking style while improving grammar and structure?
Loqua
@cruise_chen Yes! It can clean up grammar and structure while keeping the original meaning and tone.
Loqua
@cruise_chen Of course, we also have multiple style preset for different formats, casual or formal, whatever you need!
I switch between languages constantly. Does it understand multilingual workflows?
Loqua
@lantian Yes. Loqua supports 100+ languages for voice typing and can also handle multilingual translation workflows.
Loqua
@lantian It comes with automatically language detection and codeswitch!
Outcome
Loqua
@dzaitzow Absolutely, that’s actually one of the use cases we care about most. You don’t need to have the thought fully organized before you start speaking.
If your ideas come out non-linearly, Loqua can help clean up the rambling, group related points, and turn the rough thought process into something more focused and structured — while still trying to preserve what you actually meant.
It’s less “speak perfectly” and more “think out loud, then shape it.”
Loqua
@dzaitzow Many of the team members use it for random thoughts notebook. And we are also testing something like all day long recording feature with summary so you won't miss any of your sparkling ideas
Triforce Todos
Good to see you guys thriving @joshua_zhou731
BTW, does it actually understand accents or does it struggle if one is not speaking native english?
Loqua
@abod_rehman Accents are our expertises and we will keep improving it. This built-in model uses massive training data of multiple languages and it takes audio/text context for prefix calc so it understands better and will also do auto corrects of all forms of spoken english, go ahead and try!
1001 Record
Not everyone thinks out loud. Some people process better by typing.
Loqua
@mia_lu Totally fair, we don’t think voice should replace typing for everyone. For some people, typing is part of how they think.
Loqua is more about giving you another option for the moments when speaking is faster or more natural. Your keyboard isn’t going anywhere :)
Congrats on shipping it, team! Where does that screen context actually get processes, is anything cached or logged on your end once it's captured?
Loqua
@bdennis11907 It is cached only for model prefix calculation through inference, it is freed once the query is done. All local history remains on your device.
Loqua
Hey Product Hunt 👋 Miao here — one of the makers behind Loqua.
A slightly funny thing about me: I’ve spent years working on speech technology, and I still type way too much.
My work has taken me across both ASR and TTS — building evaluation frameworks, defining multilingual quality standards, working on speech data collection and validation, and spending probably too much time arguing over whether a model actually understood someone… or just happened to get the words right.
After doing that for long enough, you start noticing something:
“Accurate” speech tech can still be pretty annoying to use.
With a lot of voice tools, I caught myself doing prep work before I even spoke.
Remove the “uh.”
Figure out the sentence first.
Slow down.
Try not to change my mind halfway through.
Basically… speak like I was typing.
At that point, I might as well just type 😅
That was one of the reasons Loqua really clicked for me.
We started with voice typing, and that’s still a big part of the product. But somewhere along the way, “voice typing” stopped feeling like the whole description.
If I’m already speaking naturally, I want my computer to do a little more with what I mean.
Maybe that’s turning a rough thought into something I can actually send.
Maybe it’s changing a paragraph without typing another prompt.
Maybe I’m looking at something on my screen and really don’t want to explain all the context again.
Maybe I’d rather listen to a document than stare at it for another ten minutes.
And honestly, sometimes the win is much less glamorous:
I just don’t want to stop what I’m doing, open another app, find the right place, click around, and then remember what I was doing before.
Those tiny interruptions add up.
That’s why I’ve become much more interested in Loqua as a voice agent — not because “agent” sounds cooler than “dictation,” but because I want voice to help with the work around typing too.
My favorite line from this launch is still:
Your keyboard isn’t going away. You’ll just need it less.
We’re still figuring out where voice genuinely feels better than typing — and where it doesn’t.
So if you try Loqua and catch yourself thinking, “Nope, I could’ve typed that faster,” please tell me 😭
That’s genuinely useful feedback for us.
@ema_miao Congrats on the launch, cool idea.
Loqua
@lorina_balan Thank you so much for your support! 🙌