Talat and joinly are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Talat: A privacy-first desktop meeting notes app that records and transcribes calls entirely on your own machine, with no bot and no cloud upload. 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 Talat when recording and transcribing meetings without sending audio to the cloud 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.
A privacy-first desktop meeting notes app that records and transcribes calls entirely on your own machine, with no bot and no cloud upload.
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.
Talat 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 | Talat | joinly |
|---|---|---|
| Core capability | Fully local, on-device recording and transcription with no cloud upload | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents |
| Standout feature | Captures microphone and system audio from Zoom, Teams, Meet, and FaceTime | Real-time transcription with timestamps and speaker information, subscribable for live updates |
| Team usage | Real-time speaker identification with editable transcript segments | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls |
| Integrations | On-device LLM summaries of key points, decisions, and action items | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) |
| Languages & capture | Markdown export to tools like Obsidian, plus webhooks and MCP support | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama |
| Best-fit workflow | Local search across all previously recorded meetings | Docker-based self-hosting with optional CUDA GPU image |
Talat
Choose Talat if you need recording and transcribing meetings without sending audio to the cloud — strengths include audio and notes never leave the device, supporting strong privacy and offline use.
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.
Talat
joinly
It depends on your workflow. Talat is strong for recording and transcribing meetings without sending audio to the cloud, while joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls. Both transcribe and summarize meetings.
Talat 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.