Condens: UX research platform for storing, transcribing, tagging, and analyzing user interviews in a searchable, collaborative repository. MeetingBot: Open-source meeting bot API that sends bots into Google Meet, Microsoft Teams, and Zoom to record calls, deployable to your own AWS infrastructure. This comparison weighs them on pricing, features, and everyday workflow fit.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Condens when transcribing and tagging user interview recordings matters most, and MeetingBot when teams that want to self-host meeting capture on their own aws infrastructure for privacy matters most. Try them side by side on real calls before deciding — needs vary by team.
UX research platform for storing, transcribing, tagging, and analyzing user interviews in a searchable, collaborative repository.
Open-source meeting bot API that sends bots into Google Meet, Microsoft Teams, and Zoom to record calls, deployable to your own AWS infrastructure.
Condens is a user research platform that helps research teams store, analyze, share, and scale customer data in one collaborative hub. It supports importing recordings, notes, and user feedback, and provides automated multilingual transcription with AI-powered speaker recognition and automated captions. For analysis, Condens offers a split-screen interface that lets researchers review raw data and tag it simultaneously, along with AI-driven pattern identification across datasets and quick generation of evidence-backed findings. All research lives in a searchable, centralized repository with cross-project insight discovery, filtering, and role-based access control for managing confidential data. Condens emphasizes real-time collaboration, allowing multiple team members to build, edit, and tag data together, and integrates with tools such as Slack, Teams, Figma, and Miro, plus whiteboard functionality for interactive sessions. Additional AI capabilities include automated bookmarking, summarization, and pattern detection across multiple studies. Positioned as a lean, practical tool for researchers who want to move quickly, Condens aims to streamline the path from interview transcripts to shareable insights without the overhead of heavier enterprise systems. Pricing varies by plan. Check the official website for current pricing.
Best suited for
MeetingBot is an open-source meeting bot API that provides the infrastructure for sending bots into Google Meet, Microsoft Teams, and Zoom calls and recording them, so developers can build applications on top of meeting-recording data with a small amount of code. The project exposes a unified REST API for managing bots and accessing meeting data including video, audio, transcripts, and metadata, and ships with a visual dashboard for managing bots and viewing captured data. A distinguishing characteristic is that its entire infrastructure is defined using Terraform and deployed to AWS, which is intended to let teams self-host the platform on their own cloud account to keep meeting data private and control costs. The stack is primarily TypeScript, using a Next.js frontend, an Express backend, PostgreSQL, tRPC, and Drizzle ORM, and the project runs on scalable AWS ECS infrastructure. MeetingBot is positioned as an open-source alternative to closed-source meeting-bot vendors for developers who want recording and transcription capabilities without sending data through a third party. The project maintains a public landing page, an active community channel, and a GitHub repository under the LGPL-3.0 license. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Condens is a free tier with paid upgrades (freemium); MeetingBot is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Condens | MeetingBot |
|---|---|---|
| Core capability | Automated multilingual transcription with speaker recognition and captions | Bot deployment to Google Meet, Microsoft Teams, and Zoom |
| Standout feature | Split-screen interface for simultaneous data review and tagging | REST API for managing bots and accessing recordings, transcripts, and metadata |
| Team usage | AI-driven pattern identification across datasets | Visual dashboard for bot management and data viewing |
| Integrations | Searchable centralized repository with cross-project discovery | Infrastructure-as-code self-hosting via Terraform on AWS |
| Languages & capture | Real-time collaborative analysis and tagging | Scalable AWS ECS-based deployment |
| Best-fit workflow | Integrations with Slack, Teams, Figma, and Miro plus whiteboards | TypeScript stack with Next.js, Express, PostgreSQL, tRPC, and Drizzle ORM |
Condens
Choose Condens if you need transcribing and tagging user interview recordings — strengths include fast, practical workflow from transcript to tagged insights.
MeetingBot
Choose MeetingBot if you need developers building products that need automated meeting recording across google meet, teams, and zoom — strengths include open source and self-hostable so meeting data stays in your own aws account.
Condens
MeetingBot
It depends on your workflow. Condens is strong for transcribing and tagging user interview recordings, while MeetingBot is strong for developers building products that need automated meeting recording across google meet, teams, and zoom. Both transcribe and summarize meetings.
Condens is a free tier with paid upgrades and MeetingBot 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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