Slipbox and Speakr are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Slipbox: Privacy-first, bot-free AI meeting companion that captures system audio locally on Mac and Windows and turns it into transcripts, notes, and summaries. Speakr: Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search. They overlap on ai-meeting-assistants, so the right pick depends on team size, budget, and which meeting workflows you automate.
How Hosiqo compares and tests toolsFinal recommendation
For ai-meeting-assistants workflows, shortlist Slipbox when consultants and researchers keeping private records of client and interview calls matters most, and Speakr when privacy-conscious teams self-hosting transcription and summaries for internal meetings matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
Privacy-first, bot-free AI meeting companion that captures system audio locally on Mac and Windows and turns it into transcripts, notes, and summaries.
Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search.
Slipbox is a free tier with paid upgrades (freemium); Speakr is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Slipbox | Speakr |
|---|---|---|
| Core capability | Bot-free capture of system audio plus microphone directly on the device | Self-hosted transcription with automatic language detection |
| Standout feature | On-device, real-time transcription with optional hybrid cloud features | Optional AI-powered speaker diarization |
| Team usage | AI summaries from customizable templates, tagged notes, and searchable records | Customizable summaries plus an action-items view for decisions and tasks |
| Integrations | Automatic meeting detection across Zoom, Teams, Meet, Slack, FaceTime and more | Per-recording chat and an Inquire Mode for semantic search across the whole library |
| Languages & capture | Bring-your-own LLM API key or local model support (e.g. Ollama) | System and browser-tab audio capture |
| Best-fit workflow | Speaker identification, semantic search, and Obsidian integration | Multi-user support with SSO, group workspaces, and admin dashboard |
Slipbox
Choose Slipbox if you need consultants and researchers keeping private records of client and interview calls — strengths include no bot joins the call, so capture is discreet across many platforms.
Speakr
Choose Speakr if you need privacy-conscious teams self-hosting transcription and summaries for internal meetings — strengths include runs entirely on the user's own infrastructure for full data control.
Slipbox
Speakr
It depends on your workflow. Slipbox is strong for consultants and researchers keeping private records of client and interview calls, while Speakr is strong for privacy-conscious teams self-hosting transcription and summaries for internal meetings. Both transcribe and summarize meetings.
Slipbox is a free tier with paid upgrades and Speakr is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.