AutoMemo: Japanese transcription AI from Sourcenext that records meetings via web app, smartphone app, or dedicated voice recorders, then transcribes, summarizes, and shares. 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. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist AutoMemo when capturing and transcribing in-person business meetings matters most, and joinly when self-hosted, privacy-first real-time meeting transcription for regulated teams matters most. Try them side by side on real calls before deciding — needs vary by team.
Japanese transcription AI from Sourcenext that records meetings via web app, smartphone app, or dedicated voice recorders, then transcribes, summarizes, and shares.
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.
AutoMemo (オートメモ) is a transcription AI developed, sold, and supported by Sourcenext Corporation in Japan. It is built around a multi-surface approach: users can capture audio through a web browser app, a dedicated smartphone app, or standalone hardware voice recorders (the AutoMemo S and AutoMemo R devices), and the captured audio is automatically converted to text. The service uses a Whisper-based speech recognition engine, automatically inserts punctuation, removes filler words such as Japanese hesitation sounds, and recognizes speakers so that transcription results are divided into speaker blocks. On top of the transcript, AutoMemo can automatically generate summaries and extract to-do items and deadlines, and it has added features such as AI-generated titles for recordings. Audio and transcripts are saved to the cloud for later editing, searching, and sharing. AutoMemo positions itself for business meetings, interviews, and lecture capture in Japanese-language workflows, and offers a limited free transcription allowance with paid plans for higher usage. It remains actively developed and marketed in 2025/2026. Pricing varies by plan. Check the official website for current pricing.
Best suited for
joinly is an open-source middleware project (by joinly-ai) that makes meetings accessible to AI agents. It runs as a Model Context Protocol (MCP) server that equips any agent with the tools to join a live video call, capture a real-time transcript, and interact by voice or chat during the meeting. Rather than being a finished notetaker app, joinly is a framework developers use to build interactive meeting agents that can listen, answer, search the web, draft documents, and post chat messages while the meeting is in progress. It works cross-platform across Google Meet, Zoom, and Microsoft Teams (and browser-based calls), and is model-agnostic, supporting OpenAI, Anthropic, and local models through Ollama. Speech-to-text and text-to-speech are modular, with Whisper or Deepgram for transcription and Kokoro, ElevenLabs, or Deepgram for synthesis. The project is MIT licensed and deployed via Docker (with a separate CUDA GPU image), giving teams full data sovereignty. The MCP server exposes join/leave controls, transcript and participant access, audio control, chat messaging, and video snapshots, making it a building block for custom, privacy-first meeting automation. Pricing varies by plan. Check the official website for current pricing.
Best suited for
AutoMemo 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 | AutoMemo | joinly |
|---|---|---|
| Core capability | Records via web app, smartphone app, or dedicated voice recorder hardware | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents |
| Standout feature | Whisper-based speech-to-text with automatic punctuation | Real-time transcription with timestamps and speaker information, subscribable for live updates |
| Team usage | Speaker recognition that splits transcripts into per-speaker blocks | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls |
| Integrations | AI summaries with to-do and deadline extraction | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) |
| Languages & capture | Automatic filler-word removal | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama |
| Best-fit workflow | Cloud storage with editing, search, and sharing | Docker-based self-hosting with optional CUDA GPU image |
AutoMemo
Choose AutoMemo if you need capturing and transcribing in-person business meetings — strengths include multiple capture options including standalone hardware recorders.
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.
AutoMemo
joinly
It depends on your workflow. AutoMemo is strong for capturing and transcribing in-person business meetings, while joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls. Both transcribe and summarize meetings.
AutoMemo 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.
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