Convin: AI conversation intelligence platform for contact centers and sales teams that records, transcribes, and scores calls, chats, and emails. 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. This comparison weighs them on pricing, features, and everyday workflow fit.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Convin when automating quality assurance across all contact-center interactions 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.
AI conversation intelligence platform for contact centers and sales teams that records, transcribes, and scores calls, chats, and emails.
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.
Convin is an AI-backed conversation intelligence platform built primarily for contact centers and sales teams that handle high volumes of customer interactions. Its core function is to capture and analyze the full range of conversations, recording calls and ingesting chats and emails, then generating transcriptions and concise summaries for each interaction. On top of that data, Convin's AI analyzes conversations to detect buying signals, objections, competitor mentions, sentiment shifts, and recurring pain points, and it builds searchable conversation libraries. The platform applies automated call scoring for quality, sentiment, and compliance, which replaces sampling-based manual QA by evaluating interactions at scale rather than a small subset. Convin also offers real-time coaching cues and agent assistance during live calls, along with role-based dashboards for agents, managers, and leaders so each can see relevant performance data. It integrates with CRM systems to capture action items and next steps for follow-up. Convin serves regulated and high-volume industries such as fintech, banking, healthcare, real estate, and retail, and is aimed at teams that want data-driven coaching and quality assurance rather than subjective spot checks. 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
Convin 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 | Convin | joinly |
|---|---|---|
| Core capability | Automatic recording and transcription of calls, chats, and emails | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents |
| Standout feature | AI call scoring for quality, sentiment, and compliance | Real-time transcription with timestamps and speaker information, subscribable for live updates |
| Team usage | Real-time agent coaching cues and live assistance | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls |
| Integrations | Searchable conversation library with buying-signal and objection detection | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) |
| Languages & capture | Role-based dashboards for agents, managers, and leaders | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama |
| Best-fit workflow | Automatic recording and transcription of calls, chats, and emails | Docker-based self-hosting with optional CUDA GPU image |
Convin
Choose Convin if you need automating quality assurance across all contact-center interactions — strengths include analyzes interactions across voice, chat, and email channels.
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.
Convin
joinly
It depends on your workflow. Convin is strong for automating quality assurance across all contact-center interactions, while joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls. Both transcribe and summarize meetings.
Convin 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.
You can — some teams pair them when each covers a different part of the meeting workflow.
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