Bee: Wearable AI device that captures spoken conversations and turns them into transcripts, summaries, and reminders. Speakr: Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search. 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 Bee when capturing in-person meetings and follow-up action items hands-free matters most, and Speakr when extracting action items and decisions from recorded calls matters most. Run both through a week of actual calls to see which suits your workflow.
Wearable AI device that captures spoken conversations and turns them into transcripts, summaries, and reminders.
Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search.
Bee is a wearable personal AI device, now part of Amazon, that continuously captures the conversations happening around the wearer and processes them into transcripts, segmented summaries, suggested to-dos, and timely reminders. The hardware uses dual microphones with noise filtering and is designed to be worn as a wristband or clipped to clothing, with a button press to start and stop capture and an LED indicator to show when it is recording. Captured audio is processed by AI that segments discussions, identifies commitments, and surfaces personal insights over time, rather than leaving the user with a raw recording to comb through. Recordings sync to a companion mobile app on iOS and Android, with Apple Watch support, where users can review their day's conversations, search past discussions, and manage what is stored. Bee supports dozens of languages and emphasizes that only the user can access their own transcripts and summaries. It is aimed at professionals and individuals who want hands-free, in-person meeting and conversation capture without reaching for a phone or laptop. 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
Bee 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 | Bee | Speakr |
|---|---|---|
| Core capability | Wearable device with dual microphones and noise filtering | Self-hosted transcription with automatic language detection |
| Standout feature | Automatic transcription with segmented, per-section summaries | Optional AI-powered speaker diarization |
| Team usage | Suggested to-dos and reminders extracted from conversations | Customizable summaries plus an action-items view for decisions and tasks |
| Integrations | Companion app on iOS, Android, and Apple Watch | Per-recording chat and an Inquire Mode for semantic search across the whole library |
| Languages & capture | Multi-language support across dozens of languages | System and browser-tab audio capture |
| Best-fit workflow | On-button capture control with recording indicator | Multi-user support with SSO, group workspaces, and admin dashboard |
Bee
Choose Bee if you need capturing in-person meetings and follow-up action items hands-free — strengths include hands-free in-person capture without needing a phone or laptop.
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.
Bee
Speakr
It depends on your workflow. Bee is strong for capturing in-person meetings and follow-up action items hands-free, while Speakr is strong for privacy-conscious teams self-hosting transcription and summaries for internal meetings. Both transcribe and summarize meetings.
Bee 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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