Dscout: Experience research platform for moderated interviews, diary studies, and usability testing with AI transcription, themes, and analysis. Scriberr: Open-source, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Dscout when running and transcribing moderated user interviews matters most, and Scriberr when researchers and journalists generating diarized transcripts of recorded conversations 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.
Open-source, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript.
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
Scriberr is an open-source, self-hosted audio transcription application aimed at people who want to keep recordings and transcripts on their own hardware. It uses the open-source Whisper family of models (via the WhisperX engine) to transcribe audio and video files entirely offline, with no requirement to send data to a cloud provider. The project is distributed under the MIT license and is packaged as a single binary, with a Go backend and a Svelte frontend compiled into the binary, while Python handles the underlying AI transcription. Beyond raw transcription, Scriberr can automatically detect and label different speakers (diarization), generate summaries using custom prompts, and let users chat with a transcript by connecting to Ollama or OpenAI-compatible providers. It includes a transcript reader with playback follow-along and seek-from-text, a built-in audio recorder, note-taking, and a folder watcher plus API endpoints for automation and integration with tools like n8n. The maintainer publicly noted development is paused but not abandoned, and community contributions are welcome; the most recent release at the time of review was v1.2.0 in December 2025. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Dscout is a free tier with paid upgrades (freemium); Scriberr is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Dscout | Scriberr |
|---|---|---|
| Core capability | Moderated live and uploaded video interviews with observer support | Local, offline transcription using Whisper models via the WhisperX engine |
| Standout feature | AI Moderator that dynamically guides participants and captures feedback | Automatic speaker diarization (who said what) |
| Team usage | Automated transcription of interviews and responses | AI summaries with custom prompts via Ollama or OpenAI-compatible providers |
| Integrations | AI-generated summaries of open-ended and video responses | Chat with your transcripts to ask questions and pull insights |
| Languages & capture | AI-generated themes as smart tags and surfaced notable moments | Built-in audio recorder and note-taking on transcripts |
| Best-fit workflow | Diary studies, usability testing, intercepts, and media-rich surveys | Folder watcher and API endpoints for automation workflows |
Dscout
Choose Dscout if you need running and transcribing moderated user interviews — strengths include supports many research methods beyond interviews in one platform.
Scriberr
Choose Scriberr if you need privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure — strengths include fully self-hosted and offline, keeping audio and transcripts on your own hardware.
Dscout
Scriberr
It depends on your workflow. Dscout is strong for running and transcribing moderated user interviews, while Scriberr is strong for privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure. Both transcribe and summarize meetings.
Dscout is a free tier with paid upgrades and Scriberr 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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