Siplinx AI is an AI meeting note tool built around local processing and privacy. It transcribes meetings on the user’s device, generates summaries and action items, and is described as an AI meeting companion that never leaves the device.
Transcription runs locally through a speech-to-text model on the machine, with real-time speech-to-text conversion and no audio upload. The product says this happens with zero latency, and that the audio never leaves the device. It also generates smart summaries from the transcript text, producing a clear, structured summary with key decisions and context, and it extracts tasks and commitments automatically. The page also says no bots join calls. After a meeting ends, the notes include a full transcript, a smart summary, action items, and key decisions. Siplinx AI also includes instant search across meeting notes and export to Notion, Markdown, PDF, Obsidian, Microsoft Word, or clipboard.
It works with Zoom, Google Meet, Microsoft Teams, Webex, Slack Huddles, in-person meetings, and any audio source on a Mac or Windows PC. The installer is available for Mac or Windows, and the setup places the local transcription model on the user’s machine. The page states that transcription is fully offline, while summaries require a brief connection to process the transcript text. System requirements listed on the page are macOS 12 or later on Mac, and Windows 10/11 64-bit with 8GB RAM minimum and 4GB free storage for local models.
Siplinx AI offers a 7-day free trial through Google sign-in with no credit card required. After 7 days, a paid plan is needed to continue using the service. The page does not name a license.
In the Speech to text space, Siplinx AI takes a focused approach. It focuses on taking accurate, private meeting notes and summaries without sending audio to the cloud. It is built as a B2B product for professionals. A free plan is available; paid tiers begin at $10. It runs on the web, macOS, and Windows.
Siplinx AI first shipped in 2024. Among its 7 catalogued features are local transcription, AI summaries, and action item extraction.
Summary written by a language model from the project’s public pages.
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