Beey: Web app for automatic transcription, subtitle creation, translation, and live transcription. 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. Here's where each one pulls ahead on pricing, features, and the meetings it suits best.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Beey when transcribing podcasts, interviews, and video into editable text matters most, and joinly when self-hosted, privacy-first real-time meeting transcription for regulated teams matters most. Test each on your own meetings; the right choice tends to become obvious quickly.
Web app for automatic transcription, subtitle creation, translation, and live transcription.
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.
Beey is a web-based application for automatically transcribing and subtitling audio and video content using AI. Users upload recordings or record audio directly, and Beey converts the speech into text that can be edited in a built-in editor featuring speaker separation, waveform preview, and full-text search. From the transcript, the platform creates professional captions and subtitles and can apply automatic AI translation across a range of languages. Beey also offers live transcription of streamed content as an add-on, extending its use to events and broadcasts in addition to pre-recorded files. The platform supports more than thirty languages and provides API access for teams that want to integrate transcription into their own systems. Beey is aimed at journalists, media houses, researchers, and content creators who need accurate, editable transcripts and subtitles, as well as users converting podcasts, videos, and meeting recordings into searchable text. Its combination of an editor, subtitle tools, and live transcription makes it suitable for both production and documentation workflows. 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
Beey 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 | Beey | joinly |
|---|---|---|
| Core capability | Automatic transcription of audio and video | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents |
| Standout feature | Subtitle and caption creation with a dedicated editor | Real-time transcription with timestamps and speaker information, subscribable for live updates |
| Team usage | Speaker separation, waveform preview, and full-text search | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls |
| Integrations | Automatic AI translation across many languages | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) |
| Languages & capture | Live transcription of streamed content and API access | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama |
| Best-fit workflow | Automatic transcription of audio and video | Docker-based self-hosting with optional CUDA GPU image |
Beey
Choose Beey if you need transcribing podcasts, interviews, and video into editable text — strengths include editor with speaker separation and search aids transcript cleanup.
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.
Beey
joinly
It depends on your workflow. Beey is strong for transcribing podcasts, interviews, and video into editable text, while joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls. Both transcribe and summarize meetings.
Beey 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.
Often yes: teams combine tools when one handles capture and another handles analysis.
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