Minutes and Scriberr are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Minutes: Open-source, local-first conversation memory layer that records and transcribes meetings, diarizes speakers, and stores searchable notes as markdown for AI agents. Scriberr: Open-source, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript. They overlap on ai-meeting-assistants, so the right pick depends on team size, budget, and which meeting workflows you automate.
How Hosiqo compares and tests toolsFinal recommendation
For ai-meeting-assistants workflows, shortlist Minutes when building a private, searchable memory of meetings and voice notes that ai agents can query matters most, and Scriberr when privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
Open-source, local-first conversation memory layer that records and transcribes meetings, diarizes speakers, and stores searchable notes as markdown for AI agents.
Open-source, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript.
Minutes 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 | Minutes | Scriberr |
|---|---|---|
| Core capability | Local transcription with whisper.cpp or Parakeet, no cloud audio upload | Local, offline transcription using Whisper models via the WhisperX engine |
| Standout feature | Speaker diarization to attribute who said what | Automatic speaker diarization (who said what) |
| Team usage | Plain-markdown output with YAML frontmatter stored on your own disk | AI summaries with custom prompts via Ollama or OpenAI-compatible providers |
| Integrations | MCP server exposing tools so AI agents can query meeting history | Chat with your transcripts to ask questions and pull insights |
| Languages & capture | Cross-meeting search, relationship tracking, and action-item extraction | Built-in audio recorder and note-taking on transcripts |
| Best-fit workflow | macOS desktop app plus cross-platform CLI and dictation hotkey mode | Folder watcher and API endpoints for automation workflows |
Minutes
Choose Minutes if you need building a private, searchable memory of meetings and voice notes that ai agents can query — strengths include fully local-first and mit licensed, keeping conversation data private and portable.
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.
Minutes
Scriberr
It depends on your workflow. Minutes is strong for building a private, searchable memory of meetings and voice notes that ai agents can query, while Scriberr is strong for privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure. Both transcribe and summarize meetings.
Minutes 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.
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.