Mem and Speakr are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Mem: AI second-brain notes app that organizes captured information automatically and can record, transcribe, and summarize meetings. Speakr: Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search. They overlap on ai-meeting-assistants, so the right pick depends on team size, budget, and which meeting workflows you automate.
For ai-meeting-assistants workflows, shortlist Mem when capturing and summarizing meetings alongside everyday notes matters most, and Speakr when privacy-conscious teams self-hosting transcription and summaries for internal meetings matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
AI second-brain notes app that organizes captured information automatically and can record, transcribe, and summarize meetings.
Automatic AI organization of captured notes into collectionsChat across your note history with cited answers from your own notesChrome extension for web clipping and mobile quick capture
Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search.
Mem vs Speakr: Pricing, Features & Recommendation | Hosiqo
Configurable AI models compatible with OpenAI, OpenRouter, and local modelsCustomizable summaries plus an action-items view for decisions and tasksMulti-user support with SSO, group workspaces, and admin dashboard
Mem 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.
Automatic AI organization of captured notes into collections
Self-hosted transcription with automatic language detection
Standout feature
Records, transcribes, and summarizes meetings with audio and transcript attached
Optional AI-powered speaker diarization
Team usage
Chat across your note history with cited answers from your own notes
Customizable summaries plus an action-items view for decisions and tasks
Integrations
Voice brain dumps turned into organized notes
Per-recording chat and an Inquire Mode for semantic search across the whole library
Languages & capture
Chrome extension for web clipping and mobile quick capture
System and browser-tab audio capture
Best-fit workflow
Heads Up feature that surfaces related notes and context
Multi-user support with SSO, group workspaces, and admin dashboard
Best for
Mem
Choose Mem if you need capturing and summarizing meetings alongside everyday notes — strengths include removes the need to manually organize notes with folders and tags.
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.
Pros & cons
Mem
+ Removes the need to manually organize notes with folders and tags
+ Chat retrieval cites specific source notes for traceability
- Meeting transcription is one capability within a broader notes app rather than a dedicated meeting tool
Speakr
+ Runs entirely on the user's own infrastructure for full data control
+ Action-item extraction and per-recording chat go beyond plain transcripts
- Current releases are alpha-stage and may not be production-stable
FAQ
Is Mem or Speakr better for AI meeting notes?
It depends on your workflow. Mem is strong for capturing and summarizing meetings alongside everyday notes, while Speakr is strong for privacy-conscious teams self-hosting transcription and summaries for internal meetings. Both transcribe and summarize meetings.
How do Mem and Speakr compare on price?
Mem 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.
Can I use both Mem and Speakr?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.