Condens: UX research platform for storing, transcribing, tagging, and analyzing user interviews in a searchable, collaborative repository. Natively: A free, open-source desktop AI meeting assistant offering real-time transcription, structured notes, and on-call answers with local processing and bring-your-own-key support. 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 Natively when running a fully local, offline meeting assistant via ollama for sensitive discussions matters most. Run both through a week of actual calls to see which suits your workflow.
UX research platform for storing, transcribing, tagging, and analyzing user interviews in a searchable, collaborative repository.
A free, open-source desktop AI meeting assistant offering real-time transcription, structured notes, and on-call answers with local processing and bring-your-own-key support.
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
Natively is an open-source AI meeting assistant maintained by the Natively-AI-assistant project and actively developed through 2025 and 2026. It runs as a desktop application on macOS (Apple Silicon and Intel) and Windows, capturing meeting audio directly on the device rather than joining calls as a visible participant. Built with a Rust-based audio pipeline, it provides low-latency real-time transcription and generates structured, searchable meeting notes that include action items, decisions, and key moments, alongside an on-demand AI assist triggered by a keyboard shortcut. It offers several meeting modes for different contexts and works alongside major platforms such as Zoom, Google Meet, and Microsoft Teams. Natively is bring-your-own-key and supports providers including Google Gemini, OpenAI, Anthropic Claude, and Groq, plus a fully local option through Ollama so transcription and analysis can stay offline on the user's machine; meeting data is stored locally by default. As an indie, community-driven tool it positions itself as a free alternative to paid commercial assistants, though it relies on user-supplied API keys for cloud models and is still evolving. Verify current features and any 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); Natively is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Condens | Natively |
|---|---|---|
| Core capability | Automated multilingual transcription with speaker recognition and captions | Real-time transcription with a low-latency Rust-based audio pipeline |
| Standout feature | Split-screen interface for simultaneous data review and tagging | Structured, searchable meeting notes with action items and decisions |
| Team usage | AI-driven pattern identification across datasets | On-demand AI assist via keyboard shortcut during calls |
| Integrations | Searchable centralized repository with cross-project discovery | Bring-your-own-key support for Gemini, OpenAI, Claude, and Groq |
| Languages & capture | Real-time collaborative analysis and tagging | Fully local/offline option through Ollama with local data storage by default |
| Best-fit workflow | Integrations with Slack, Teams, Figma, and Miro plus whiteboards | Works alongside Zoom, Google Meet, and Microsoft Teams without a visible bot |
Condens
Choose Condens if you need transcribing and tagging user interview recordings — strengths include fast, practical workflow from transcript to tagged insights.
Natively
Choose Natively if you need capturing real-time transcripts and structured notes from calls without a visible bot — strengths include free and open source with active development.
Condens
Natively
It depends on your workflow. Condens is strong for transcribing and tagging user interview recordings, while Natively is strong for capturing real-time transcripts and structured notes from calls without a visible bot. Both transcribe and summarize meetings.
Condens is a free tier with paid upgrades and Natively 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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