Condens: UX research platform for storing, transcribing, tagging, and analyzing user interviews in a searchable, collaborative repository. Pluely: A lightweight open-source desktop AI meeting assistant that captures system audio for live transcription and on-call answers without joining as a visible bot. Below, they line up on price, capture method, and how each fits a real meeting stack.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Condens when transcribing and tagging user interview recordings matters most, and Pluely when running a privacy-conscious, locally processed meeting helper via ollama matters most. Trial each on a few real meetings before you commit — the better fit usually shows fast.
UX research platform for storing, transcribing, tagging, and analyzing user interviews in a searchable, collaborative repository.
A lightweight open-source desktop AI meeting assistant that captures system audio for live transcription and on-call answers without joining as a visible bot.
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
Pluely is an open-source AI meeting assistant created by independent developer Srikanthnani and released in 2025 as a privacy-first, bot-free alternative to commercial in-meeting copilots. Built with Tauri, the app is roughly 10MB and launches quickly, running as an always-on-top overlay on macOS (Apple Silicon and Intel), Windows, and Linux. Rather than sending a participant into your call, Pluely captures system audio and microphone input directly on your device, converts speech to text, and can surface AI responses and notes during a meeting, interview, or presentation. It is bring-your-own-key, so users connect their own provider credentials; it supports a wide range of large language models, including OpenAI, Anthropic Claude, Google Gemini, Grok, Mistral, Cohere, Ollama, and custom endpoints, alongside multiple speech-to-text engines such as Whisper, Deepgram, ElevenLabs, Groq, and Azure. Because it is GPL-licensed and fully inspectable, teams can audit or modify the code, and local model options via Ollama allow processing to stay on the machine. As an indie project it depends on external API keys for most capabilities and is still maturing. Confirm features and any usage policies on the official site. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Condens is a free tier with paid upgrades (freemium); Pluely is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Condens | Pluely |
|---|---|---|
| Core capability | Automated multilingual transcription with speaker recognition and captions | Bot-free capture of system audio and microphone for live transcription |
| Standout feature | Split-screen interface for simultaneous data review and tagging | Always-on-top overlay app for macOS, Windows, and Linux |
| Team usage | AI-driven pattern identification across datasets | Bring-your-own-key support for many LLMs (OpenAI, Claude, Gemini, Grok, Mistral, Cohere, Ollama, custom) |
| Integrations | Searchable centralized repository with cross-project discovery | Multiple speech-to-text providers (Whisper, Deepgram, ElevenLabs, Groq, Azure, and others) |
| Languages & capture | Real-time collaborative analysis and tagging | Lightweight (~10MB) and fast to launch |
| Best-fit workflow | Integrations with Slack, Teams, Figma, and Miro plus whiteboards | Open source under GPL with optional local processing via Ollama |
Condens
Choose Condens if you need transcribing and tagging user interview recordings — strengths include fast, practical workflow from transcript to tagged insights.
Pluely
Choose Pluely if you need getting live transcription and ai assistance during meetings without a visible bot in the call — strengths include free and open source with fully inspectable code.
Condens
Pluely
It depends on your workflow. Condens is strong for transcribing and tagging user interview recordings, while Pluely is strong for getting live transcription and ai assistance during meetings without a visible bot in the call. Both transcribe and summarize meetings.
Condens is a free tier with paid upgrades and Pluely 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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