Ruune Desktop
Freemium
Professionals in sales, legal, healthcare, and product
Cloud meeting notetakers upload every word you say to servers you don't control — a fact that becomes a problem the first time a client asks where their conversation went.
Threadfork records and transcribes meetings entirely on your Mac, using local models that never touch a network connection. It captures mic and system audio simultaneously, so Zoom, Meet, Teams, and in-room conversations all feed the same pipeline without a bot joining the call. Summaries, extracted commitments with owners and deadlines, and semantic search across every transcript you've ever made — all processed on your hardware, including offline. The ceiling appears fast if your team isn't on Apple Silicon or isn't running macOS 14+: there is no Windows build, no browser version, and no API for piping results into other systems.
Bottom line: The right call for a Mac-native professional who handles sensitive conversations and wants a searchable, compounding knowledge base without cloud exposure — but a dead end the moment your team includes a Windows user or needs to push meeting data into a CRM.
14-day free trial with full Pro access and no feature limitations
For individuals who want a private AI workspace for meetings, notes, memory, and follow-up
For teams and organizations that need custom deployment, security, procurement, or support
View full pricing on threadfork.com →
Pricing may have changed since last verified. Check the official site for current plans.
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Freemium
Professionals in sales, legal, healthcare, and product
Freemium
Users prioritizing on-device processing and data privacy
Threadfork records both microphone and system audio with one click — or automatically via calendar — then runs transcription, speaker identification, summary generation, and entity extraction on-device using local models. The output isn’t just a transcript: it’s a structured note with linked threads (commitments and decisions tagged to owners and deadlines), searchable topics, and a timeline of entities like people and companies that builds across every meeting you record. Everything lives in a Mac-native workspace where notes open in tabs, support rich markdown, and every line stays linked to the moment in the audio where it was said.
The entity layer is what separates Threadfork from a transcription tool. Open any person, company, or topic and see a chronological feed of every mention across all your meetings — what was promised, who said it, and when. This compounds over time: four months of sales calls turns into a searchable record of every Acme commitment across nine meetings, indexed semantically so you can query it the way you’d ask a colleague.
Threadfork fits Mac users who treat meeting data as genuinely sensitive — legal, recruiting, fundraising, enterprise sales — and who want a private knowledge base that doesn’t depend on a vendor’s uptime or data policies. The constraints are hard: Apple Silicon hardware running macOS 14+ is required, the vendor states no Windows or Linux build exists, and there is no API to route extracted data into downstream tools. Teams that need a shared workspace, cross-platform access, or integration with a CRM will hit those walls before the second project and typically return to a cloud-based notetaker.
Recording works across Zoom, Google Meet, Microsoft Teams, and in-person conversations because it captures system audio directly — no bot account is added to calls, and no credentials for external platforms are required. The paid tier unlocks additional processing features; core recording and transcription are available on the free plan during the trial period.
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