Dscout: Experience research platform for moderated interviews, diary studies, and usability testing with AI transcription, themes, and analysis. Speakr: Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search. Here's where each one pulls ahead on pricing, features, and the meetings it suits best.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Dscout when running and transcribing moderated user interviews matters most, and Speakr when extracting action items and decisions from recorded calls matters most. Try them side by side on real calls before deciding — needs vary by team.
Experience research platform for moderated interviews, diary studies, and usability testing with AI transcription, themes, and analysis.
Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search.
Dscout is an experience research platform that pairs human participant feedback with AI tools to help teams gather and analyze qualitative insights at scale. It supports a range of research methods, including live and uploaded moderated interviews, usability testing with heat maps and task success metrics, real-time site intercepts, field studies, diary studies with multiple activities, and media-rich surveys. For interviews, Dscout simplifies scheduling across time zones, integrates incentives, supports observers, and can capture both a participant's face and screen, and it also offers an AI Moderator that can autonomously guide participants, seek clarification, and capture feedback. On the analysis side, Dscout provides automated transcription, AI-generated summaries of open-ended and video responses, AI-generated themes presented as smart tags for pattern identification, and surfacing of notable moments that highlight strong opinions or surprising insights. Teams can recruit from Dscout's verified Scout participant pool or bring their own audience. Known historically for mobile and in-context research, Dscout positions itself as an AI-native platform that helps researchers capture high-fidelity feedback and move quickly from raw sessions to organized, analyzable insights. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Speakr is a self-hosted web application designed for transcribing audio recordings such as meetings, generating concise summaries and titles, and interacting with the content through a chat interface. It runs entirely on the user's own server, giving full control over data, and is dual-licensed under AGPL-3.0 and a commercial license. The project is actively maintained, with a v0.9.0-alpha release dated June 2026 and over 970 commits. Speakr produces transcripts with automatic language detection and optional AI-powered speaker diarization so users can see who said what. Its summarization can be customized with prompts, and meeting summaries include an action-items view that filters out general discussion to surface decisions, tasks, deadlines, and calendar-worthy events. For deeper interaction, a per-recording chat lets users ask questions about a single recording, while an experimental Inquire Mode provides semantic search and natural-language chat across an entire library of recordings. Speakr can capture system or browser-tab audio, supports configurable AI models and endpoints compatible with OpenAI, OpenRouter, and local models, and includes multi-user support with SSO, group workspaces, an admin dashboard, and export and sharing tools aimed at privacy-conscious teams. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Dscout is a free tier with paid upgrades (freemium); Speakr is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Dscout | Speakr |
|---|---|---|
| Core capability | Moderated live and uploaded video interviews with observer support | Self-hosted transcription with automatic language detection |
| Standout feature | AI Moderator that dynamically guides participants and captures feedback | Optional AI-powered speaker diarization |
| Team usage | Automated transcription of interviews and responses | Customizable summaries plus an action-items view for decisions and tasks |
| Integrations | AI-generated summaries of open-ended and video responses | Per-recording chat and an Inquire Mode for semantic search across the whole library |
| Languages & capture | AI-generated themes as smart tags and surfaced notable moments | System and browser-tab audio capture |
| Best-fit workflow | Diary studies, usability testing, intercepts, and media-rich surveys | Multi-user support with SSO, group workspaces, and admin dashboard |
Dscout
Choose Dscout if you need running and transcribing moderated user interviews — strengths include supports many research methods beyond interviews in one platform.
Speakr
Choose Speakr if you need privacy-conscious teams self-hosting transcription and summaries for internal meetings — strengths include runs entirely on the user's own infrastructure for full data control.
Dscout
Speakr
It depends on your workflow. Dscout is strong for running and transcribing moderated user interviews, while Speakr is strong for privacy-conscious teams self-hosting transcription and summaries for internal meetings. Both transcribe and summarize meetings.
Dscout is a free tier with paid upgrades and Speakr 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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