DoReveal: An AI-powered qualitative research platform that transcribes and analyzes interviews, focus groups, and meeting recordings to surface themes and insights. 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. Below, they line up on price, capture method, and how each fits a real meeting stack.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist DoReveal when transcribing and analyzing in-depth interviews and focus groups for ux or market research matters most, and joinly when self-hosted, privacy-first real-time meeting transcription for regulated teams matters most. Trial each on a few real meetings before you commit — the better fit usually shows fast.
An AI-powered qualitative research platform that transcribes and analyzes interviews, focus groups, and meeting recordings to surface themes and insights.
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.
DoReveal is a web-based AI platform built for qualitative researchers who need to turn interviews, focus groups, and meeting recordings into structured insights. Users upload audio and video files, paste or import transcripts, or connect Zoom recording links; the platform also offers a bot for live meeting recordings, with live capture via Zoom, Teams, and Google Meet described as coming soon. It transcribes the audio, automatically identifies speakers and distinguishes moderators from participants, and accepts input in over 100 languages with analysis output in around 10 languages. Analysis features include structured research grids, thematic pattern discovery, automated codebook generation, persona and journey-map building, a quote finder with audio/video clip creation, report generation, and an AI chat for interrogating data using frameworks such as Jobs-to-Be-Done and Emotional Laddering. It targets freelance researchers, research agencies, in-house teams, and academics across sectors like pharmaceuticals, technology, and consulting. The company states user data is never used to train models, offers automatic PHI/PII redaction, and encrypts data at rest and in transit.
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
DoReveal 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 | DoReveal | joinly |
|---|---|---|
| Core capability | Transcription with automatic speaker identification, distinguishing moderators from participants | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents |
| Standout feature | Support for audio/video uploads, pasted or imported transcripts, and Zoom recording links | Real-time transcription with timestamps and speaker information, subscribable for live updates |
| Team usage | AI chat to interrogate data, compare cohorts, and trace evidence to source quotes | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls |
| Integrations | Automated codebook generation, thematic analysis, and structured research grids | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) |
| Languages & capture | Quote finder with audio/video clip creation and automated report generation | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama |
| Best-fit workflow | Input support for 100+ languages with analysis output in multiple languages | Docker-based self-hosting with optional CUDA GPU image |
DoReveal
Choose DoReveal if you need transcribing and analyzing in-depth interviews and focus groups for ux or market research — strengths include purpose-built for qualitative research workflows such as interviews and focus groups, beyond simple meeting notes.
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.
DoReveal
joinly
It depends on your workflow. DoReveal is strong for transcribing and analyzing in-depth interviews and focus groups for ux or market research, while joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls. Both transcribe and summarize meetings.
DoReveal 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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