Synopsule records and transcribes your conversations on your Mac or iPhone with Whisper, labels every speaker, and only summarizes when you ask. No accounts, no uploads. Now on the App Store — one $4.99 purchase for Mac and iPhone.
I built Synopsule because every meeting tool I tried wanted my audio in their cloud, an account, and a bot in the call. I wanted the transcript without the trade.
So the whole pipeline runs on the device that recorded it: - Whisper transcribes locally. The model ships in the app, so it works offline on first launch. - On the Mac it captures both sides of a Zoom/Meet/Teams call by tapping system audio directly. No bot, no screen recording, no virtual driver. - Speaker recognition runs on-device too. It labels who said what, remembers returning voices across recordings, and learns from your corrections. Raw audio is deleted once the transcript exists.
Includes MCP functionality so you can integrate your meeting transcripts with Claude, Codex, and ChatGPT.
Summaries are the one thing that can touch the cloud, and only if you ask. Bring your own key, or run a local model on the Mac so even that stays on your machine. Only transcript text ever leaves, only when you choose.
It's $1.99 once for both Mac and iPhone. Transcription shouldn't be a subscription.
The hardest part was diarization on long, messy recordings, and making speaker recognition improve locally without a cloud model.
I'd love feedback, and I'm here all day. What would it take for you to trust an on-device transcriber over the cloud one you use now?
Does speaker labeling work offline too, or does it need extra processing somewhere?
The on-device, no-upload stance is the part I keep coming back to. I work on voice AI for aging-in-place, and the privacy bar gets brutal once you are handling conversations that involve someone's parents or their health. Running Whisper locally so the audio never leaves the machine is a real answer to that. How is the on-device speaker recognition holding up with overlapping talkers or weaker mics? That is usually where local models start to struggle for us.
About Synopsule on Product Hunt
“On device private AI meeting transcripts”
Synopsule launched on Product Hunt on June 15th, 2026 and earned 85 upvotes and 3 comments, placing #8 on the daily leaderboard. Synopsule records and transcribes your conversations on your Mac or iPhone with Whisper, labels every speaker, and only summarizes when you ask. No accounts, no uploads. Now on the App Store — one $4.99 purchase for Mac and iPhone.
Synopsule was featured in Productivity (653.8k followers), Meetings (6.5k followers) and Artificial Intelligence (471k followers) on Product Hunt. Together, these topics include over 242.3k products, making this a competitive space to launch in.
Who hunted Synopsule?
Synopsule was hunted by Sunny Nagra. 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 Synopsule stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Sunny Nagra
I built Synopsule because every meeting tool I tried wanted my audio in their cloud,
an account, and a bot in the call. I wanted the transcript without the trade.
So the whole pipeline runs on the device that recorded it:
- Whisper transcribes locally. The model ships in the app, so it works offline on first launch.
- On the Mac it captures both sides of a Zoom/Meet/Teams call by tapping system audio
directly. No bot, no screen recording, no virtual driver.
- Speaker recognition runs on-device too. It labels who said what, remembers returning
voices across recordings, and learns from your corrections. Raw audio is deleted once
the transcript exists.
Includes MCP functionality so you can integrate your meeting transcripts with Claude, Codex, and ChatGPT.
Summaries are the one thing that can touch the cloud, and only if you ask. Bring your
own key, or run a local model on the Mac so even that stays on your machine. Only
transcript text ever leaves, only when you choose.
It's $1.99 once for both Mac and iPhone. Transcription shouldn't be a subscription.
The hardest part was diarization on long, messy recordings, and making speaker
recognition improve locally without a cloud model.
I'd love feedback, and I'm here all day. What would it take for you to trust an
on-device transcriber over the cloud one you use now?