Speakr and Spiky.ai 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. Spiky.ai: Conversation intelligence and real-time AI coaching platform that records, analyzes, and guides sales meetings for revenue teams. 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 Spiky.ai when sdr and ae managers coaching reps on objection handling and talk tracks 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
Speakr is a free tier with paid upgrades (freemium); Spiky.ai 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
Records and transcribes calls and video meetings from Zoom, Teams, and Google Meet
Standout feature
Optional AI-powered speaker diarization
Real-time in-call prompts, playbooks, and battlecards for objection handling
Team usage
Customizable summaries plus an action-items view for decisions and tasks
AI-generated meeting summaries, action items, and follow-up drafts
Integrations
Per-recording chat and an Inquire Mode for semantic search across the whole library
Conversation analytics: talk ratio, speaking patterns, sentiment, and buyer intent
Languages & capture
System and browser-tab audio capture
Custom keyword trackers and behavior analytics for coaching
Best-fit workflow
Multi-user support with SSO, group workspaces, and admin dashboard
CRM and collaboration integrations (Salesforce, HubSpot, Slack, Google Docs)
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.
Spiky.ai
Choose Spiky.ai if you need sdr and ae managers coaching reps on objection handling and talk tracks — strengths include combines real-time coaching with post-call analysis in one platform.
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
Spiky.ai
+ Combines real-time coaching with post-call analysis in one platform
+ Detailed per-rep behavior analytics support scalable, repeatable coaching
- Real-time coaching and analytics depth may be more than very small teams need
FAQ
Is Speakr or Spiky.ai 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 Spiky.ai is strong for sdr and ae managers coaching reps on objection handling and talk tracks. Both transcribe and summarize meetings.
How do Speakr and Spiky.ai compare on price?
Speakr is a free tier with paid upgrades and Spiky.ai 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 Spiky.ai?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.