Loqua is LIVE on Product Hunt today, and welcome to the family!
AI keeps getting smarter yet using it feels more tiring: prompting, switching apps, screenshotting, explaining context again and again. Often the problem isn't the AI; it's that we still have to learn how to talk to it.
So we built more than better voice typing. Just say what you want, and Loqua understands your app, screen, language, and tone dictate in Gmail, ask about a chart you're looking at, tell Codex or Claude Code what to change, set reminders, open apps, or have a page read aloud.
We believe voice agents are a necessary path to AGI and a core part of physical AI. As a model-first team, Loqua is our first step: our own multimodal model for better transcription, translation, and multimodal Q&A, with deeper agentic, long-horizon abilities rolling out.
If this resonates, we'd love your support
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[Website link]: https://theloqua.ai/
[Product Hunt link]: https://www.producthunt.com/prod...
Great Product! But I have a question does Capture to Ask hold up on all screens like a spreadsheet or code editor, or is it mainly reliable on simpler layouts like the calendar and chat view shown here?
Loqua
@sidraarifali It’s not limited to simple layouts, we’ve designed Capture to Ask for things like spreadsheets, dashboards, code editors, docs, and other dense screens too.
That said, the more complex the screen, the more important it is to capture the relevant area rather than everything at once. For a spreadsheet or code editor, that usually gives Loqua much cleaner context and a better answer.
So yes, those are definitely target use cases for us, not just calendar/chat-style screens.
Buffup.AI
most voice tools fail badly when dictating terminal commands or nested JSON structures. am curious if your underlying model treats code syntax natively or if i still have to manually edit brackets later.
Loqua
@sansa_grey Great question, for exact terminal commands or heavily nested JSON, I wouldn’t claim perfect syntax-level accuracy yet. Those cases are much less forgiving than normal prose, since one bracket or character can matter.
Loqua is already useful around coding workflows and technical explanations, but for dense structured code we’d still recommend reviewing the output. Improving this is definitely an area we care about.
Loqua
@sansa_grey That is the way we are aiming to, a truly hands free coding experience. Try variable names, terms, complex logic together with CC & Codex, it reads coding context so all the dictation feels much better. We will keep improving the model for better performance!
The screen-awareness feature sounds really useful. Being able to explain what’s on screen without switching between apps could make work much smoother.
Loqua
@jharkhandi_chora1 That’s exactly the friction we wanted to remove. A lot of the time, explaining the context to AI takes longer than the actual question 😅
Being able to just show what you’re looking at and ask directly feels much more natural.