A free macOS and iOS app that turns your voice into structured markdown using local LLM. Global dictation anywhere with ⌘⌥], live markdown editor with on-the-fly fix with LLM. No cloud, no API keys — nothing leaves your Mac.
Out of all the prototypes I've built to leverage local LLMs, the one I actually ended up using daily is my Speech-to-Markdown (STMD). Your speech goes through Local Whisper (STT) ➡️ gets processed by a local LLM ➡️ and is finally converted into a structured spec ✅
Using Fable, I finally managed to turn it from a web app into a native Mac app 💻, and I've been using it even more since. Whenever I have a new idea, I just open the app and start talking. My product ideas backlog has never been longer; now I just need more time (and more tokens 🤑).
🎙️ The very first idea I "talked" into it was a Dictation mode for STMD — finally giving a purpose to the custom buttons on my keyboard ⌨️. Just focus on any text field, press a hotkey, and start talking. You can use it with or without an LLM to automatically fix grammar and typos.
Speech To Markdown launched on Product Hunt on July 25th, 2026 and earned 91 upvotes and 7 comments, placing #15 on the daily leaderboard. A free macOS and iOS app that turns your voice into structured markdown using local LLM. Global dictation anywhere with ⌘⌥], live markdown editor with on-the-fly fix with LLM. No cloud, no API keys — nothing leaves your Mac.
On the analytics side, Speech To Markdown competes within Productivity, Writing and Artificial Intelligence — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how Speech To Markdown performed against the three products that launched closest to it on the same day.
Who hunted Speech To Markdown?
Speech To Markdown was hunted by Igor Steblii. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Speech To Markdown including community comment highlights and product details, visit the product overview.
Igor Steblii
Out of all the prototypes I've built to leverage local LLMs, the one I actually ended up using daily is my Speech-to-Markdown (STMD). Your speech goes through Local Whisper (STT) ➡️ gets processed by a local LLM ➡️ and is finally converted into a structured spec ✅
Using Fable, I finally managed to turn it from a web app into a native Mac app 💻, and I've been using it even more since. Whenever I have a new idea, I just open the app and start talking. My product ideas backlog has never been longer; now I just need more time (and more tokens 🤑).
🔗 https://voice-to-md.xajik0.workers.dev/ | https://github.com/xajik/voice-to-md
🎙️ The very first idea I "talked" into it was a Dictation mode for STMD — finally giving a purpose to the custom buttons on my keyboard ⌨️. Just focus on any text field, press a hotkey, and start talking. You can use it with or without an LLM to automatically fix grammar and typos.
📱 I also published an iOS version leveraging Apple Intelligence, but somehow it didn't click (https://apps.apple.com/us/app/speechtomarkdown/id6789775244 🍎). I guess most of my ideas come while I'm already sitting at my laptop.