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Hi guys.I have been working on Hitoku Draft, an open-source, voice-first AI assistant that runs entirely locally. I posted about it already, and now it has also transcription with voice editing. Looking for feedback, as I found that outside tech circles other people still do not use this tech much.It's context-aware, in the sense that it reads your screen, documents, and active app to understand what you're working on. You can ask about PDFs, reply to emails, create calendar events, use web search, editing text, all by voice.You can download a compiled version for free with the code HITOKUHN2026 https://hitoku.me/draft/ (base price is 5 dollars)It supports Gemma 4 and Qwen 3.5 for text generation, plus multiple STT backends (Parakeet, Qwen3-ASR).Examples:
- Gemma4 in action, https://www.youtube.com/watch?v=OgfI-3YjEVU
- query a pdf document, https://www.youtube.com/watch?v=ggaDhut7FnU
- reply to email, https://www.youtube.com/watch?v=QFnHXMBp1gA
- and the usual voice dictation (with optional polishing)I currently use it a lot with Claude Code and Logseq. Now with some friends we are also building a new cross-platform version. The goal is on the long run to have AI interactive local models serving people and professionals.
Show HN: Hitoku Draft – Context aware local assistant
A privacy-focused, local-first AI assistant that understands screen context, documents, and active applications to perform voice-driven tasks like email replies, calendar events, and text editing, supporting various local LLMs and STT backends.
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AI Executive Synthesis
A privacy-focused, local-first AI assistant that understands screen context, documents, and active applications to perform voice-driven tasks like email replies, calendar events, and text editing, supporting various local LLMs and STT backends.
Hitoku Draft addresses the growing demand for privacy-preserving AI by offering a fully local, context-aware voice assistant. Its ability to interpret screen content and documents for task execution (e.g., email, calendar) positions it as a productivity enhancer for professionals. The support for local LLMs (Gemma 4, Qwen 3.5) and STT backends underscores a trend towards decentralized AI processing, mitigating data security and latency concerns inherent in cloud-based solutions. While adoption outside tech circles is noted as a challenge, the core value proposition of local, context-aware AI for professional workflows is significant. This indicates a market segment prioritizing data sovereignty and integrated, intelligent assistance within existing desktop environments.
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What is Hitoku Draft – Context aware local assistant?
Hitoku Draft – Context aware local assistant is analyzed by our AI as: A privacy-focused, local-first AI assistant that understands screen context, documents, and active applications to perform voice-driven tasks like email replies, calendar events, and text editing, supporting various local LLMs and STT backends.. It focuses on Hitoku Draft addresses the growing demand for privacy-preserving AI by offering a fully local, context-aware voice assistant. Its ability to interp...
Where did Hitoku Draft – Context aware local assistant originate?
Data for Hitoku Draft – Context aware local assistant was aggregated directly from the Hacker News community ecosystem, representing raw developer and early-adopter sentiment.
When was Hitoku Draft – Context aware local assistant publicly launched?
The initial public indexing or launch date for Hitoku Draft – Context aware local assistant within our tracked developer communities was recorded on June 5, 2026.
How popular is Hitoku Draft – Context aware local assistant?
Hitoku Draft – Context aware local assistant has achieved measurable traction, logging over 16 traction score and facilitating 2 recorded discussions or engagements.
Which technical categories define Hitoku Draft – Context aware local assistant?
Based on metadata extraction, Hitoku Draft – Context aware local assistant is categorized under topics such as: open-source, voice-first AI assistant, runs entirely locally, transcription with voice editing.
What are some commercial alternatives to Hitoku Draft – Context aware local assistant?
Our semantic intelligence engine identifies potential commercial alternatives in the SaaS space, such as ContextPool, which offers overlapping value propositions.
How does the creator describe Hitoku Draft – Context aware local assistant?
The original author or development team describes the product as follows: "Hi guys.I have been working on Hitoku Draft, an open-source, voice-first AI assistant that runs entirely locally. I posted about it already, and now it has also transcription with voice editing. Lo..."
Community Voice & Feedback
Great name choice
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Love that it's local ai, I think that's the future.
Appreciate the concept, seems deeply useful if a bit underbaked at present.Active STT allows a "No STT loaded" option that mentions it requires a multimodal LLM like Gemma 4. Except even when I use Gemma 4 features, Ctrl+S to dictate doesn't work. Unless I Voice Edit then quickly Dictate as soon as it processes the silence. Sometimes if the Dictation is triggered on silence, it'll just choose to paste whatever text is on screen. There's no way to dismiss the popup with the text before it's ready to vanish on its own. There's no way to preview what the TTS voices sound like without triggering something to be said manually.It seems like this will be a great tool soon, but currently there are very many rough edges that would benefit greatly from a nice heavy sanding pass.
So it's a dictation tool? Then why does "voice to text" barely appear on the page? Why are you describing it here as an AI assistant but the page doesn't say anything about that? "Understands my screen"? Why does my dictation software need to understand my screen? I don't know what "text generation", "AI editing" or "AI writing" even mean.
You might want to mention this is Mac-only
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