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AI · June 4, 2026

HD

Hitoku Draft – Context aware local assistant

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…

In plain words

Hitoku Draft is an open-source, voice-first AI assistant that runs entirely on a user's local machine. It reads the user's screen, documents, and active applications to understand context, then responds to voice commands for tasks like querying PDFs, replying to emails, creating calendar events, performing web searches, and editing text. The tool includes voice transcription with editing capabilities and supports multiple language models and speech-to-text backends. It is available as a free download with optional paid features.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

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.

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