Dovetail: Customer insights platform that centralizes interviews and feedback, with AI transcription, analysis, search, and a research repository. Speakr: Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search. This comparison weighs them on pricing, features, and everyday workflow fit.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Dovetail when transcribing and analyzing user research interviews matters most, and Speakr when extracting action items and decisions from recorded calls matters most. Trial each on a few real meetings before you commit — the better fit usually shows fast.
Customer insights platform that centralizes interviews and feedback, with AI transcription, analysis, search, and a research repository.
Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search.
Dovetail is a customer insights and research platform that centralizes qualitative data from user interviews, sales calls, support tickets, and research studies into a single repository powered by AI. Teams can upload or import interview recordings and let Dovetail handle AI transcription, then analyze the material to turn raw feedback into structured intelligence. Its AI capabilities include automatic analysis, AI chat and search across customer data, AI dashboards that visualize trends alongside business metrics, and AI docs for creating shareable outputs. The research repository organizes studies, transcripts, tags, and highlights so insights remain searchable and reusable across projects, and highlight reels let teams clip and share video evidence of key moments. Dovetail supports transcription in multiple languages and includes redaction of sensitive information for privacy. It connects to other tools through integrations and an API so customer signals can flow across a team's stack. Used by product, design, research, and customer experience teams, Dovetail aims to replace assumption-based decisions with evidence drawn directly from customer conversations and feedback. 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
Dovetail 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 | Dovetail | Speakr |
|---|---|---|
| Core capability | AI transcription of interview and meeting recordings | Self-hosted transcription with automatic language detection |
| Standout feature | Automatic analysis that turns raw feedback into structured insights | Optional AI-powered speaker diarization |
| Team usage | AI chat and search across all customer data | Customizable summaries plus an action-items view for decisions and tasks |
| Integrations | Research repository for transcripts, tags, and highlights | Per-recording chat and an Inquire Mode for semantic search across the whole library |
| Languages & capture | Highlight reels and video clips of key moments | System and browser-tab audio capture |
| Best-fit workflow | AI dashboards, AI docs, and sensitive-information redaction | Multi-user support with SSO, group workspaces, and admin dashboard |
Dovetail
Choose Dovetail if you need transcribing and analyzing user research interviews — strengths include centralizes interviews and feedback from many sources in one repository.
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.
Dovetail
Speakr
It depends on your workflow. Dovetail is strong for transcribing and analyzing user research interviews, while Speakr is strong for privacy-conscious teams self-hosting transcription and summaries for internal meetings. Both transcribe and summarize meetings.
Dovetail 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.
Often yes: teams combine tools when one handles capture and another handles analysis.
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