Audiosum: AI transcription platform with Arabic dialect support that transcribes and summarizes meetings, lectures and videos. 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 Audiosum when transcribing arabic-language meetings and dialect-heavy discussions 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.
AI transcription platform with Arabic dialect support that transcribes and summarizes meetings, lectures and videos.
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.
Audiosum is an AI transcription and summarization platform with notable support for Arabic, including multiple dialects such as Gulf, Egyptian, Lebanese, Moroccan and Saudi, alongside English and other languages. While the platform is broadly used for lectures and educational content, it offers a dedicated meeting-transcription product that converts meeting recordings into transcripts, summaries and actionable notes, extracts key points and decisions, and identifies follow-up tasks. It supports recordings from Google Meet, Zoom and Microsoft Teams, provides live transcription, and includes an AI chat feature for asking questions about transcribed content. Exports are available in formats such as PDF, Word and TXT, and a mobile app is offered. The service was actively operating at the time of review, with a working signup flow and user reviews including Arabic-language feedback. Because Audiosum's primary marketing emphasis leans toward students and educators summarizing lectures, teams evaluating it specifically for business meetings should confirm that its meeting-transcription workflow and Arabic accuracy meet their needs, but it remains a relevant option for Arabic-speaking users seeking AI meeting transcription and summaries. 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
Audiosum 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 | Audiosum | joinly |
|---|---|---|
| Core capability | Arabic transcription with multiple dialects plus English and others | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents |
| Standout feature | Meeting transcription with summaries and action items | Real-time transcription with timestamps and speaker information, subscribable for live updates |
| Team usage | Live transcription capability | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls |
| Integrations | Supports Google Meet, Zoom and Teams recordings | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) |
| Languages & capture | AI chat to query transcribed content | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama |
| Best-fit workflow | Exports to PDF, Word and TXT with a mobile app | Docker-based self-hosting with optional CUDA GPU image |
Audiosum
Choose Audiosum if you need transcribing arabic-language meetings and dialect-heavy discussions — strengths include broad arabic dialect coverage for transcription.
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.
Audiosum
joinly
It depends on your workflow. Audiosum is strong for transcribing arabic-language meetings and dialect-heavy discussions, while joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls. Both transcribe and summarize meetings.
Audiosum 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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