Quantified and ownscribe 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. ownscribe: Local-first command-line tool that records, transcribes, and summarizes meetings on macOS entirely on-device, with natural-language search across notes. 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 ownscribe when developers capturing and summarizing meetings from the terminal on a mac 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
Local-first command-line tool that records, transcribes, and summarizes meetings on macOS entirely on-device, with natural-language search across notes.
Local-first recording, transcription, and summarization via CLILocal summarization with a built-in Phi-4-mini model, plus Ollama and OpenAI-compatible backendsMultiple summary templates (meeting, lecture, brief) and silence auto-stop
Quantified is a free tier with paid upgrades (freemium); ownscribe is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
Local-first recording, transcription, and summarization via CLI
Standout feature
AI Field Coach for pre-call prep, post-call reflection, and live-call analysis
System audio capture on macOS 14.2+ through Core Audio
Team usage
AI Readiness Coach for onboarding and certification
WhisperX transcription with word-level timestamps
Integrations
Compliance-aware guardrails for regulated selling
Optional speaker diarization via PyAnnote
Languages & capture
Adaptive AI that personalizes coaching to each rep
Local summarization with a built-in Phi-4-mini model, plus Ollama and OpenAI-compatible backends
Best-fit workflow
Insights agent reporting on readiness, proficiency, and adherence
Natural-language search across meeting notes with the ask command
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.
ownscribe
Choose ownscribe if you need developers capturing and summarizing meetings from the terminal on a mac — strengths include runs entirely on-device with no data sent to external servers.
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
ownscribe
+ Runs entirely on-device with no data sent to external servers
+ MIT-licensed and scriptable, fitting developer and terminal-driven workflows
- Command-line only, with no graphical interface
FAQ
Is Quantified or ownscribe 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 ownscribe is strong for developers capturing and summarizing meetings from the terminal on a mac. Both transcribe and summarize meetings.
How do Quantified and ownscribe compare on price?
Quantified is a free tier with paid upgrades and ownscribe 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 ownscribe?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.