Speakr and ZMEETING are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Speakr: Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search. ZMEETING: AI meeting-minutes service by Hmcomm that automatically transcribes Zoom and Microsoft Teams meetings, identifies speakers, and supports multilingual transcription. 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 Speakr when privacy-conscious teams self-hosting transcription and summaries for internal meetings matters most, and ZMEETING when automatically generating minutes for zoom or teams calls matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search.
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
AI meeting-minutes service by Hmcomm that automatically transcribes Zoom and Microsoft Teams meetings, identifies speakers, and supports multilingual transcription.
Automatic filler-word removalAutomatic transcription of Zoom and Microsoft Teams meetingsCustom dictionary for specialized terminology
Speakr is a free tier with paid upgrades (freemium); ZMEETING is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
Self-hosted transcription with automatic language detection
Automatic transcription of Zoom and Microsoft Teams meetings
Standout feature
Optional AI-powered speaker diarization
Speaker identification on higher-tier plans
Team usage
Customizable summaries plus an action-items view for decisions and tasks
Multilingual transcription and translation (Japanese, English, and more)
Integrations
Per-recording chat and an Inquire Mode for semantic search across the whole library
Custom dictionary for specialized terminology
Languages & capture
System and browser-tab audio capture
Automatic filler-word removal
Best-fit workflow
Multi-user support with SSO, group workspaces, and admin dashboard
Emotion recognition and meeting-atmosphere analysis on upper tiers
Best for
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.
ZMEETING
Choose ZMEETING if you need automatically generating minutes for zoom or teams calls — strengths include proprietary speech-recognition technology from a research-derived vendor.
Pros & cons
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
ZMEETING
+ Proprietary speech-recognition technology from a research-derived vendor
+ Licensing by simultaneous meetings supports unlimited users for org-wide rollout
- Advanced features such as speaker ID and emotion analysis are limited to higher-tier plans
FAQ
Is Speakr or ZMEETING better for AI meeting notes?
It depends on your workflow. Speakr is strong for privacy-conscious teams self-hosting transcription and summaries for internal meetings, while ZMEETING is strong for automatically generating minutes for zoom or teams calls. Both transcribe and summarize meetings.
How do Speakr and ZMEETING compare on price?
Speakr is a free tier with paid upgrades and ZMEETING 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 Speakr and ZMEETING?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.