threadfork
Summary
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.
Pricing Plans
Subscription- Price
- $39 /month
- Free Tier
- 14-day trial; after trial history remains viewable and searchable
Pro
Unlimited recordings up to 3 hours, local transcription, summaries, threads, entity extraction, semantic search, exports
- Unlimited recordings
- Local transcription with speaker ID
- Summaries, threads, entity extraction
- Semantic search and AI assistant
- Exports to Markdown, TXT, JSON, SRT
Enterprise
Team deployment, security review support, custom retention
- Everything in Pro
- Team deployment options
- Security compliance review support
- Custom retention and limits
- Priority support and onboarding
View full pricing on threadfork.com →
Pricing may have changed since last verified. Check the official site for current plans.
Community Performance Report Card
No community ratings yet. Be the first to rate this tool!
Community Benchmarks Community
Sign in to submit a benchmarkNo community benchmarks yet. Be the first to share a real-world data point.
Pros
Sign in to edit- Entire pipeline — transcription, entity extraction, semantic search — runs on-device with no network required, so sensitive conversations stay on hardware you control and never appear in a vendor's data pipeline.
- Captures both mic and system audio without joining calls as a bot, which means participants don't see a recording notice and the tool works identically for Zoom calls and in-room conversations.
- Commitments and decisions are extracted automatically with named owners and deadlines, so action items don't require manual review of a 45-minute transcript to surface what was actually promised.
- Entity timelines aggregate every mention of a person, company, or topic across all recorded meetings, so preparing for a renewal call means opening Acme and reading four months of context rather than hunting through individual notes.
- Semantic search with typed filters lets you query across every transcript by person, topic, or date range, so finding the exact moment a commitment was made takes seconds instead of scrubbing audio.
Cons
Sign in to edit- Apple Silicon and macOS 14+ are hard requirements, not recommendations — a team member on an Intel Mac or any Windows machine cannot run the tool at all, which forces mixed teams back to a cloud notetaker immediately.
- No API and no export pipeline means extracted summaries, threads, and entities stay inside Threadfork's interface; teams whose workflow requires meeting data to flow into a CRM, project tracker, or shared wiki have to copy-paste manually or abandon the tool.
- Local model processing on-device means transcription and extraction speed is bounded by your machine's hardware — on older or less capable Apple Silicon, long recordings take noticeably longer to process than cloud-based alternatives that offload compute to their own infrastructure.
- The knowledge base is single-user and local: there is no shared workspace, so a sales team trying to pool meeting history across five reps faces the same wall as the Windows user — the architecture does not support it, and teams with that requirement will move to a cloud platform.
Community Reviews
Sign in to write a reviewNo reviews yet. Be the first to share your experience.
About
- Platforms
- macOS 14+ (Apple Silicon)
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-07-22T06:23:08.121Z
Best For
Who it's for
- Mac users needing private meeting notes
- Teams handling sensitive conversations
- Professionals who want searchable meeting history without cloud services
- Users on Apple Silicon hardware
What it does well
- Capture and search meeting transcripts locally
- Extract action items and decisions with owners and deadlines
- Build a private knowledge base of people, companies, and topics over time
- Review and edit meeting notes in rich markdown
- Work offline on planes or secure networks
Discussion Community
Sign in to commentNo discussion yet. Sign in to start the conversation.
Compare threadfork
Spotted incorrect or missing data? Join our community of contributors.
Sign Up to ContributeCommunity Notes & Tips Community
Sign in to contributeBe the first to contribute. General notes, observations, gotchas, and tips from people who use this tool day-to-day.
Frequently Asked Questions
- Is threadfork free?
- threadfork has a permanent free tier alongside paid upgrades (paid plans from $39 /month). You can keep using a baseline version indefinitely without paying.
- Is threadfork open source?
- No — threadfork is a closed-source tool. Source code is not publicly available.
- What platforms does threadfork support?
- threadfork is available on: macOS 14+ (Apple Silicon).
Hours Saved & ROI Stories Community
Sign in to contributeBe the first to contribute. Concrete time/cost savings, with context. e.g. "Cut my code review backlog from 4h to 45m per week."
Best threadfork alternatives →
Curated lists that include this category
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.