On-device transcription, plus an agent that actually does things. Transcribe: Parakeet EOU (English), Parakeet TDT (25 European languages), CTC (Chinese), Nemotron (~40), Qwen3-ASR Ask: a local LFM2.5 agent that plans and calls tools, Apple Notes, clipboard, files, MCP support. Fully customizable: remap the dial, hotkeys, three HUD styles, tool approvals, swap any model or any prompt. Gemma 4, Qwen3.6 and Ornith 1.0 are coming next. No cloud, no accounts. Free, MIT. Apple Silicon, macOS 26.
Hey Product Hunt 👋
Every dictation app gives you text. Mispher gives you what you actually wanted: the text, or the paragraph rewritten, or the sentence translated, or an agent that went and did it. Agentic transcription, entirely on your Mac. No account, no telemetry.
Site: https://mispher.com
Code: https://github.com/dsaad68/mispher
Hold left ⌥, flick the radial dial, and pick what happens when you let go:
- Transcribe drops clean text into whatever field has focus.
- Rewrite in place: highlight a sentence in any app, hold the key, say "make this shorter," and it swaps the selection where it sits.
- Translate: speak one language, insert another.
- Ask: a local LFM2.5 agent that plans, calls tools (Apple Notes, clipboard, files), and connects to your own MCP servers over HTTP or stdio, with OAuth when a server needs it. Writes are gated behind an approval card you set per tool.
No Whisper anywhere, and no API key. Five recognizers, and you pick per language: Parakeet EOU streams English live, Nemotron streams ~40 languages, Parakeet TDT covers 25 European ones, and Parakeet CTC or Qwen3-ASR take Mandarin. Four run on the Neural Engine, Qwen3-ASR against a llama-server on localhost. The planner and vision models are MLX.
Nothing about it is fixed. Remap every slice of the dial. Give each mode its own shortcut, and each shortcut its own feel: push-to-talk, tap-on-tap-off, or a long-press that goes hands-free and stops when you do. Teach it a custom dictionary so your names and jargon come out right. Decide whether releasing the key commits the text or parks it. Pick how recording appears: a Dynamic Island out of the notch, a pill under it, a draggable panel, or the full window.
The agent is yours to govern too. Every tool and every MCP server gets one of three policies: approve and it runs, ask and it waits for you at an approval card, deny and the model can still see the tool but never runs it. Deactivate one entirely and it vanishes from the agent's world. Swap the model behind any mode. Turn the agent's vision on, or leave the planner blind.
Coming next: Gemma 4 E4B, Qwen3.6 27B/35B, and Ornith 1.0. Ornith is the interesting one, a single 9B checkpoint that drives the planner and backs the vision subagent, so screen-aware Ask stops needing a second model download.
It's free and MIT. Install with:
brew install --cask dsaad68/tap/mispher
Apple Silicon, macOS 26.
- Daniel
The "entirely on your Mac, no telemetry" bit is exactly why I'd try this over cloud dictation — but I want to understand the agent step: when Mispher "goes and does it," is that agent running fully local against on-device models, or does the agentic action call out to an API? And is the rewrite/translate the same local model as transcription, or a separate one I'd need to pull down?
How does the local agent actually decide when to call a tool versus just answering, and is that planning step visible somewhere so I can audit what it's about to do?
the rewrite-in-place feature is the one that'd actually sell me - highlight a sentence anywhere, say make this shorter, and it swaps in place. how does that hold up in apps that don't expose a normal text API, like electron apps or browser textareas buried under heavy JS overlays? does it degrade gracefully, like falling back to a clipboard paste, or does it just fail to find the selection in those cases?
How does the on-device agent handle tool approvals when the LFM2.5 model needs to call something sensitive like Apple Notes, and can I pause approvals globally for trusted actions?
How does the local agent actually handle tool approvals on macOS without the cloud, does it prompt every single time or can you whitelist actions for a session?
On-device is the underrated headline here. In voice work the two things that actually block adoption are latency and privacy — a local model that never ships audio to a server kills both at once, and for anything with sensitive data (legal, medical, insurance) that's the difference between "can't touch it" and "ship it." Curious how accuracy holds up on proper nouns and numbers locally vs the big cloud models — that's usually where on-device stumbles. Nice to see transcription + a real agent in one place. Congrats on the launch 🚀
How does the local agent actually handle tool calls that need internet access, like fetching a webpage or hitting an API, while still keeping everything on-device?
About Mispher on Product Hunt
“Dictate, rewrite, translate, and an agent in a single device”
Mispher launched on Product Hunt on July 10th, 2026 and earned 102 upvotes and 19 comments, placing #12 on the daily leaderboard. On-device transcription, plus an agent that actually does things. Transcribe: Parakeet EOU (English), Parakeet TDT (25 European languages), CTC (Chinese), Nemotron (~40), Qwen3-ASR Ask: a local LFM2.5 agent that plans and calls tools, Apple Notes, clipboard, files, MCP support. Fully customizable: remap the dial, hotkeys, three HUD styles, tool approvals, swap any model or any prompt. Gemma 4, Qwen3.6 and Ornith 1.0 are coming next. No cloud, no accounts. Free, MIT. Apple Silicon, macOS 26.
Mispher was featured in Mac (103.6k followers), Productivity (655.9k followers), Artificial Intelligence (473.3k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 285k products, making this a competitive space to launch in.
Who hunted Mispher?
Mispher was hunted by Daniel Saad. 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.
Want to see how Mispher stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Daniel Saad