Privacy-first voice recorder for Mac and iPhone. Transcripts and AI summaries run on-device via Apple Speech and FoundationModels — no server, no account, nothing leaving your machine. Every recording exports as a Markdown file with YAML frontmatter — yours, on disk, ready for Obsidian or git. A built-in local MCP server lets Claude Code and other AI tools query the archive. Designed experience-first, to keep you in the moment. $7.99, buy once — Mac and iPhone, no subscription.
Hey Product Hunt — SR-7 is a voice recorder that keeps everything on your machine. Transcription, AI titles, summaries — all on-device, via Apple Speech and FoundationModels. No cloud, no account, nothing leaving the device.
That mattered to us because most voice tools either ship your audio somewhere (Otter, Granola) or trap the transcript inside their own app. Neither fits a workflow where your AI is already editing the same files you are.
SR-7 does three things:
- Records on Mac and iPhone. Transcription runs on-device via Apple Speech — no network, no account.
- Writes an AI title and summary locally (Apple FoundationModels, macOS 26+).
- Exports each recording as a Markdown file with YAML frontmatter. Yours, on disk. Drop it in Obsidian, commit it to git, or let Claude Code reach it through the local MCP server — point your agent at the archive and ask "what did I decide about X last week?" It answers from your own recordings, without anything leaving the machine.
$7.99, one time. Universal purchase, Mac and iPhone. No subscription — we make money when you buy it, not by mining what you record.
Privacy and ownership, in an experience that's calm enough to keep you in the moment.
One thing we're genuinely curious about: what's in your voice-to-text pipeline right now, and what's broken about it?
Buy-once + fully on-device exporting to Markdown with YAML frontmatter is a clean combo, and the local MCP server so Claude Code can query the archive is the part I didn't know I wanted. As someone building a Mac/iOS app, how does the on-device Apple Speech transcription hold up on longer recordings vs cloud models?
Beautiful app. A suggestion would be to allow changing the transcription language on the fly (and maybe re-transcribe a note with new language settings) — even better, detect language automatically.
the local mcp server querying the archive is the part that caught me — that's the bit most on-device recorders skip. when claude code queries a big archive, does it pull full transcripts or just summaries? curious how you keep it in a sane token budget.
About Signal Recorder SR-7 on Product Hunt
“On-device voice recorder that transcribes + exports Markdown”
Signal Recorder SR-7 launched on Product Hunt on June 9th, 2026 and earned 103 upvotes and 6 comments, placing #17 on the daily leaderboard. Privacy-first voice recorder for Mac and iPhone. Transcripts and AI summaries run on-device via Apple Speech and FoundationModels — no server, no account, nothing leaving your machine. Every recording exports as a Markdown file with YAML frontmatter — yours, on disk, ready for Obsidian or git. A built-in local MCP server lets Claude Code and other AI tools query the archive. Designed experience-first, to keep you in the moment. $7.99, buy once — Mac and iPhone, no subscription.
Signal Recorder SR-7 was featured in Mac (103.5k followers), Productivity (653.8k followers) and Developer Tools (514k followers) on Product Hunt. Together, these topics include over 220.2k products, making this a competitive space to launch in.
Who hunted Signal Recorder SR-7?
Signal Recorder SR-7 was hunted by Alexander Kohlhofer. 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 Signal Recorder SR-7 stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Alexander Kohlhofer
Hey Product Hunt — SR-7 is a voice recorder that keeps everything on your machine. Transcription, AI titles, summaries — all on-device, via Apple Speech and FoundationModels. No cloud, no account, nothing leaving the device.
That mattered to us because most voice tools either ship your audio somewhere (Otter, Granola) or trap the transcript inside their own app. Neither fits a workflow where your AI is already editing the same files you are.
SR-7 does three things:
- Records on Mac and iPhone. Transcription runs on-device via Apple Speech — no network, no account.
- Writes an AI title and summary locally (Apple FoundationModels, macOS 26+).
- Exports each recording as a Markdown file with YAML frontmatter. Yours, on disk. Drop it in Obsidian, commit it to git, or let Claude Code reach it through the local MCP server — point your agent at the archive and ask "what did I decide about X last week?" It answers from your own recordings, without anything leaving the machine.
$7.99, one time. Universal purchase, Mac and iPhone. No subscription — we make money when you buy it, not by mining what you record.
Privacy and ownership, in an experience that's calm enough to keep you in the moment.
One thing we're genuinely curious about: what's in your voice-to-text pipeline right now, and what's broken about it?