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SaidTrace

Private voice memos. Your choice of AI.

Your recordings should stay with you. Your AI should be your choice. Record on your iPhone, Apple Watch, or recorder. SaidTrace brings your audio to your Mac for transcripts and notes. Choose your AI model, ask questions, and trace answers back to the original recording.

Top comment

Your recordings should be yours to keep. Your AI should be yours to choose.

Hey Product Hunt 👋 I’m Tiger, the maker of SaidTrace.

I built SaidTrace around a simple idea: choosing how you record shouldn’t decide where your data lives or which AI you use.

🎙️ Record with your device

Bring audio from your iPhone, Apple Watch, recorder, or audio files into one archive on your Mac.

🧠 Choose your AI

Turn recordings into transcripts and notes. Use a local LLM through LM Studio or Ollama, or choose an external AI.

🔎 Find what was said

Search your archive and ask questions. Follow answers back to the recording and transcript behind them.

🔌 Use your archive from other AI tools

Connect through MCP so tools like Codex and Cursor can search your notes and retrieve transcripts.

💻 Keep your archive on your Mac

SaidTrace doesn’t store your audio, transcripts, or notes on its servers. Apple recordings can sync through your own iCloud. Optional external AI receives the text needed for your request.

💸 Start free

Get 20 imports and 20 AI summaries each month. Planned paid pricing is $3/month or $18/year, with hardware and external AI fees separate.

What frustrates you most about the recording apps you use today? I’d love to hear what you’d change so I can make SaidTrace better.

About SaidTrace on Product Hunt

“Private voice memos. Your choice of AI.”

SaidTrace launched on Product Hunt on October 15th, 2026 and earned 69 upvotes and 1 comments, placing #35 on the daily leaderboard. Your recordings should stay with you. Your AI should be your choice. Record on your iPhone, Apple Watch, or recorder. SaidTrace brings your audio to your Mac for transcripts and notes. Choose your AI model, ask questions, and trace answers back to the original recording.

On the analytics side, SaidTrace competes within Mac, Artificial Intelligence and Audio — topics that collectively have 587.5k followers on Product Hunt. The dashboard above tracks how SaidTrace performed against the three products that launched closest to it on the same day.

Who hunted SaidTrace?

SaidTrace was hunted by Tiger. 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 SaidTrace including community comment highlights and product details, visit the product overview.