Speechmark is a private macOS meeting-notes app. It records, transcribes, and summarizes meetings entirely on your Mac — decisions, action items, speaker-attributed transcripts. No bot joins the call, no account, one-time price. Integrates well with Claude Code using MCP server.
I built Speechmark out of frustration with two main issues in existing tools: bots joining calls to take notes, and the privacy risks of vendors storing call recordings. Speechmark solves both by capturing system audio and mic directly on your Mac. No bot joins the call, no one sees a "Notetaker," and all transcription, speaker diarization, and summarization run locally. Your audio files never leave your machine.
Key Differentiators: 1. Original Audio Retention: Many tools discard recordings, leaving only unverifiable summaries. Speechmark keeps the original audio so you can easily reference exact statements. 2. Local & Custom AI: Run summaries fully offline with Apple Intelligence or Ollama. If you prefer Claude or GPT, you can bring your own API key—only transcript text is sent, never audio. Clear on-screen indicators show when cloud processing is used. 3. Claude Desktop Integration: Includes a local MCP connector so Claude Desktop can search your meeting history directly on your device without any uploads.
Pricing: • One-time purchase, valid for up to 3 Macs. • Free Tier: 14-day trial, followed by a free tier of 5 meetings per month. • No account creation required.
I would love to get your feedback, especially regarding multilingual or accented-English calls. I am also happy to answer any questions about the audio pipeline, on-device models, or the decision to avoid a subscription model.
Is there any time limits or it will record long meeting too because short ones are easy to remember but long ones are hard to recollect right... and is there are privacy tracker attached while we share the notes will we be able to know who viewed it ?
The little notetaker bot popping into a call always made me wince. Keeping the whole audio on my own machine sits right with me, Nitin, and clicking a line to land back on the exact moment is the part I'd reach for most.
no bot joining the call is the part i would put first, above private. a bot appearing in a participant list is a disclosure to everyone else in the room, and most people who stop using these tools stop for that reason rather than for where the audio goes.
Original audio retention is the one I would have put first on that list, not third. Keeping the source audio is what makes a summary auditable, and you learn that fast once you ship anything where a wrong summary has real consequences. We keep raw call audio for the same reason, and the hard part turned out not to be storing it, it was writing a retention policy and deciding who is allowed to press play.
Since you offered to talk pipeline: is speaker diarization its own local model, or are you leaning on Apple Intelligence for it? Diarization is where local stacks tend to break for us, two people talking over each other on a poor phone line and the labels swap mid sentence. Curious what you landed on and how it holds up when the two voices sit close together in pitch.
About Speechmark on Product Hunt
“Private, on-device meeting notes for Mac”
Speechmark launched on Product Hunt on September 10th, 2026 and earned 103 upvotes and 16 comments, placing #11 on the daily leaderboard. Speechmark is a private macOS meeting-notes app. It records, transcribes, and summarizes meetings entirely on your Mac — decisions, action items, speaker-attributed transcripts. No bot joins the call, no account, one-time price. Integrates well with Claude Code using MCP server.
Speechmark was featured in Mac (103.7k followers), Notes (8.4k followers) and Meetings (6.5k followers) on Product Hunt. Together, these topics include over 17.7k products, making this a competitive space to launch in.
Who hunted Speechmark?
Speechmark was hunted by Nitin Hayaran. 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 Speechmark stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Nitin Hayaran
Hi Product Hunt 👋 I'm Nitin.
I built Speechmark out of frustration with two main issues in existing tools: bots joining calls to take notes, and the privacy risks of vendors storing call recordings. Speechmark solves both by capturing system audio and mic directly on your Mac. No bot joins the call, no one sees a "Notetaker," and all transcription, speaker diarization, and summarization run locally. Your audio files never leave your machine.
Key Differentiators:
1. Original Audio Retention: Many tools discard recordings, leaving only unverifiable summaries. Speechmark keeps the original audio so you can easily reference exact statements.
2. Local & Custom AI: Run summaries fully offline with Apple Intelligence or Ollama. If you prefer Claude or GPT, you can bring your own API key—only transcript text is sent, never audio. Clear on-screen indicators show when cloud processing is used.
3. Claude Desktop Integration: Includes a local MCP connector so Claude Desktop can search your meeting history directly on your device without any uploads.
Pricing:
• One-time purchase, valid for up to 3 Macs.
• Free Tier: 14-day trial, followed by a free tier of 5 meetings per month.
• No account creation required.
I would love to get your feedback, especially regarding multilingual or accented-English calls. I am also happy to answer any questions about the audio pipeline, on-device models, or the decision to avoid a subscription model.