Quantified and Scriberr are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Quantified: AI sales coaching and role-play platform for regulated industries, with simulations plus pre-call prep, post-call reflection, and live-call analysis. 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.
For ai-meeting-assistants workflows, shortlist Quantified when onboarding and certifying reps in life sciences or financial services 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.
AI sales coaching and role-play platform for regulated industries, with simulations plus pre-call prep, post-call reflection, and live-call analysis.
Adaptive AI that personalizes coaching to each repAI Field Coach for pre-call prep, post-call reflection, and live-call analysisAI Readiness Coach for onboarding and certification
Open-source, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript.
AI summaries with custom prompts via Ollama or OpenAI-compatible providersAutomatic speaker diarization (who said what)Built-in audio recorder and note-taking on transcripts
Quantified 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.
Local, offline transcription using Whisper models via the WhisperX engine
Standout feature
AI Field Coach for pre-call prep, post-call reflection, and live-call analysis
Automatic speaker diarization (who said what)
Team usage
AI Readiness Coach for onboarding and certification
AI summaries with custom prompts via Ollama or OpenAI-compatible providers
Integrations
Compliance-aware guardrails for regulated selling
Chat with your transcripts to ask questions and pull insights
Languages & capture
Adaptive AI that personalizes coaching to each rep
Built-in audio recorder and note-taking on transcripts
Best-fit workflow
Insights agent reporting on readiness, proficiency, and adherence
Folder watcher and API endpoints for automation workflows
Best for
Quantified
Choose Quantified if you need onboarding and certifying reps in life sciences or financial services — strengths include purpose-built for compliance-sensitive regulated industries.
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.
Pros & cons
Quantified
+ Purpose-built for compliance-sensitive regulated industries
+ Covers the full rep lifecycle from onboarding to field coaching
- Enterprise and regulated-industry focus may not fit small generalist teams
Scriberr
+ Fully self-hosted and offline, keeping audio and transcripts on your own hardware
+ MIT-licensed and free to run with no per-minute charges
- Active development was publicly paused by the maintainer, relying on community contributions
FAQ
Is Quantified or Scriberr better for AI meeting notes?
It depends on your workflow. Quantified is strong for onboarding and certifying reps in life sciences or financial services, while Scriberr is strong for privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure. Both transcribe and summarize meetings.
How do Quantified and Scriberr compare on price?
Quantified 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.
Can I use both Quantified and Scriberr?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.