Hyprcore
Summary
Meeting recordings, dictated notes, and written docs pile up in three separate tools — and searching across all of them means checking three places every time. Hyprcore collapses that into a single native macOS workspace where everything you say, record, or type lands in one searchable page tree.
The core loop is three inputs feeding one wiki: a global dictation shortcut that transcribes into whatever app has focus, a one-click meeting recorder that generates transcripts, summaries, and action items, and Notion-style pages that link recordings to docs automatically. On-device processing with seven local speech engines means audio does not leave the machine by default — the vendor explicitly describes this as the free tier's default behavior. The AI layer lets you query across pages and meeting transcripts in a single prompt. The ceiling appears when your team grows: sync and collaboration features are paid-only, and there is no API, no self-hosted option, and no path for embedding Hyprcore's data into external pipelines.
Bottom line: Ideal for a solo macOS knowledge worker who dictates frequently and wants meeting transcripts searchable alongside their notes — less defensible when the team needs shared workspaces and the engineering org needs data access via API.
Pricing Plans
Subscription- Price
- Free; Pro $19.99/month; Team $39.99/month
- Free Tier
- One local speech engine, basic meeting recording, single-user wiki with search; cloud features (cloud STT, AI summaries, Knowledge Base, MCP, cloud storage) are Pro+ only
Free
On-device dictation with one local speech engine, basic meeting recording, single-user wiki
- On-device dictation
- Basic meeting recording
- One local speech engine
- Wiki with pages and search
- Single user
Pro
All 7 local speech engines, cloud STT, unlimited meetings, AI summaries, Knowledge Base, MCP integration, 5 GB cloud storage across 2 devices
- All 7 local speech engines
- Cloud speech-to-text
- Unlimited meeting recording
- AI summaries and action items
- AI-powered Knowledge Base
- MCP integration
- 5 GB cloud storage
- 2 devices
Team
Up to 3 seats with shared storage, includes all Pro features
- Up to 3 team seats
- Shared storage
- All Pro features
- Team collaboration
View full pricing on hyprcore.ai →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Seven local speech engines with GPU acceleration, so dictation does not require an internet connection and audio stays on-device by default — which means teams with call recording policies or privacy requirements do not have to carve out an exception.
- Meeting recordings link directly into the wiki page tree and are queryable alongside typed notes via the AI layer, so finding what was decided in a call three weeks ago does not require opening a separate transcript tool.
- Global dictation shortcut drops transcribed text wherever the cursor is, across any macOS app, so switching to a dedicated dictation window mid-document is eliminated.
- Live translation via the Canary engine transcribes speech in one language and outputs in another, so multilingual teams do not need a separate translation step after recording.
- Free tier includes on-device dictation, basic recording, and one local speech engine with no cloud dependency, so evaluating the core privacy-first workflow costs nothing.
Cons
Sign in to edit- No API is available, so any team that needs to pull transcripts, wiki content, or action items into an external system — a CRM, a project tracker, a data warehouse — does the export manually. At scale, that breaks the workflow the tool is designed to create.
- macOS-only with no self-hosted option and no web client means a team with a single Windows or Linux user cannot standardize on Hyprcore. Teams with mixed environments move to a cross-platform meeting intelligence tool rather than maintain a split stack.
- Collaboration and sync features are paid-only, so a team evaluating the free tier for shared wiki use will discover the ceiling quickly — the free experience is built for individual use, not team review of the same recordings and pages.
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About
- Platforms
- macOS (Apple Silicon and Intel)
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-06-01T07:33:40.333Z
Best For
Who it's for
- macOS users seeking unified meeting + wiki + dictation in native app
- Teams wanting meeting intelligence with privacy-first transcription
- Knowledge workers who dictate frequently and want local processing
- Users familiar with Notion-style wikis who also need recording and voice input
What it does well
- Knowledge workers capturing meeting notes and dictated memos in one searchable space
- Teams collaborating on meeting recordings with automated transcripts and action item tracking
- Developers and writers using voice dictation with customizable speech engines and on-device processing
- Personal knowledge management combining wikis, calls, and voice notes
- Privacy-conscious users who want dictation processing to remain on-device by default
Integrations
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Frequently Asked Questions
- Is Hyprcore free?
- Hyprcore is a paid tool (Free; Pro $19.99/month; Team $39.99/month). No permanent free tier is offered.
- Is Hyprcore open source?
- No — Hyprcore is a closed-source tool. Source code is not publicly available.
- What platforms does Hyprcore support?
- Hyprcore is available on: macOS (Apple Silicon and Intel).
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Switching between a meeting recorder, a dictation app, and a notes tool costs more than the time switching takes — it costs the connections between them. Hyprcore is a native macOS application that routes dictation, meeting recordings, and typed notes into a single page tree. A global keyboard shortcut activates dictation into any app with cursor focus; meeting recordings capture system audio and microphone together, then produce AI-generated transcripts, summaries, and action items that link directly into the wiki. The ⌘K palette searches every page, meeting, and dictated note in the workspace from one entry point.
The differentiating bet is local-first audio processing. The vendor ships seven on-device speech engines — Whisper, Parakeet, Canary, Moonshine, and others — GPU-accelerated with automatic CPU fallback. Canary adds live translation, transcribing speech in one language and outputting text in another. LLM post-processing via Claude, GPT, or Gemini is available for cleanup, but the transcription step itself does not require a cloud upload by default. For teams where audio of internal calls leaving the device is a compliance or policy problem, that distinction matters.
Hyprcore fits the macOS-native solo user or small team that lives in a Notion-style wiki and also records calls and dictates frequently. The page tree supports folders, drag-to-reorder, and icon and cover image formatting familiar from Notion. Where it breaks: there is no API surface, so pulling meeting transcripts or wiki content into external tools — a CRM, a data warehouse, a custom dashboard — is a manual export. Collaboration features require a paid upgrade. Teams that need programmatic access to their own data, or that run mixed macOS/Windows environments, hit a wall the product does not currently address.