Slipbox and joinly 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. joinly: Open-source, self-hostable connector that lets AI agents join Google Meet, Zoom, and Microsoft Teams calls to transcribe, listen, and act in real time via MCP. 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 joinly when building custom ai meeting agents that answer questions and run tasks during live calls 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.
Open-source, self-hostable connector that lets AI agents join Google Meet, Zoom, and Microsoft Teams calls to transcribe, listen, and act in real time via MCP.
Slipbox is a free tier with paid upgrades (freemium); joinly is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Slipbox | joinly |
|---|---|---|
| Core capability | Bot-free capture of system audio plus microphone directly on the device | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents |
| Standout feature | On-device, real-time transcription with optional hybrid cloud features | Real-time transcription with timestamps and speaker information, subscribable for live updates |
| Team usage | AI summaries from customizable templates, tagged notes, and searchable records | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls |
| Integrations | Automatic meeting detection across Zoom, Teams, Meet, Slack, FaceTime and more | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) |
| Languages & capture | Bring-your-own LLM API key or local model support (e.g. Ollama) | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama |
| Best-fit workflow | Speaker identification, semantic search, and Obsidian integration | Docker-based self-hosting with optional CUDA GPU image |
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.
joinly
Choose joinly if you need building custom ai meeting agents that answer questions and run tasks during live calls — strengths include fully open source (mit) and self-hostable for complete data control.
Slipbox
joinly
It depends on your workflow. Slipbox is strong for consultants and researchers keeping private records of client and interview calls, while joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls. Both transcribe and summarize meetings.
Slipbox is a free tier with paid upgrades and joinly 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.