Is AmplifAI or Speakr better for AI meeting notes?

It depends on your workflow. AmplifAI is strong for automating quality assurance by transcribing and scoring customer service calls at scale, while Speakr is strong for privacy-conscious teams self-hosting transcription and summaries for internal meetings. Both transcribe and summarize meetings.

How do AmplifAI and Speakr compare on price?

AmplifAI is custom pricing and Speakr 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 AmplifAI and Speakr?

Often yes: teams combine tools when one handles capture and another handles analysis.

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AmplifAI vs Speakr

AmplifAI: AmplifAI is an AI-powered contact center platform that transcribes and analyzes customer conversations across voice, chat, and messaging to automate quality assurance, coaching, and CX intelligence. Speakr: Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search. Below, they line up on price, capture method, and how each fits a real meeting stack.

How Hosiqo compares and tests tools

Final recommendation

Shortlist AmplifAI when automating quality assurance by transcribing and scoring customer service calls at scale matters most, and Speakr when extracting action items and decisions from recorded calls matters most. Run both through a week of actual calls to see which suits your workflow.

AmplifAI

CustomAI Meeting Assistants

AmplifAI is an AI-powered contact center platform that transcribes and analyzes customer conversations across voice, chat, and messaging to automate quality assurance, coaching, and CX intelligence.

Ask Your Transcripts: natural-language Q&A across call transcripts, QA data, and CX metricsAutomated QA scoring conversations across channels and triggering tailored coachingConversational intelligence surfacing sentiment, intent, call reasons, and behavioral signals

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Speakr

Custom

About AmplifAI

AmplifAI is a contact center performance and customer-experience platform that unifies data across voice, chat, email, social, CRM, and workforce systems into a single source of truth. Its conversational intelligence layer captures call recordings and uses speech-to-text to transcribe conversations, then analyzes them for sentiment, intent, call reasons, themes, and behavioral signals. Rather than sampling a small percentage of interactions, its Automated QA evaluates conversations across channels and connects findings directly to coaching workflows. An "Ask Your Transcripts" feature provides a natural-language interface for querying call transcripts, QA scores, and CX metrics on demand, while real-time transcription, sentiment, and next-best-action guidance support agents during live interactions, including auto-summarized notes and dispositions. The platform is built for contact center teams—agents, team leaders, quality analysts, and CX leadership—across industries such as retail, financial services, healthcare, BPOs, and communications. It rounds out its offering with role-based performance dashboards, predictive NPS, root-cause analysis, gamification, and recognition tools to drive measurable performance improvements.

Best suited for

Automating quality assurance by transcribing and scoring customer service calls at scale
Surfacing customer sentiment, intent, and root-cause insights from conversation transcripts
Delivering data-driven, conversation-based coaching to agents and team leaders

About Speakr

Speakr is a self-hosted web application designed for transcribing audio recordings such as meetings, generating concise summaries and titles, and interacting with the content through a chat interface. It runs entirely on the user's own server, giving full control over data, and is dual-licensed under AGPL-3.0 and a commercial license. The project is actively maintained, with a v0.9.0-alpha release dated June 2026 and over 970 commits. Speakr produces transcripts with automatic language detection and optional AI-powered speaker diarization so users can see who said what. Its summarization can be customized with prompts, and meeting summaries include an action-items view that filters out general discussion to surface decisions, tasks, deadlines, and calendar-worthy events. For deeper interaction, a per-recording chat lets users ask questions about a single recording, while an experimental Inquire Mode provides semantic search and natural-language chat across an entire library of recordings. Speakr can capture system or browser-tab audio, supports configurable AI models and endpoints compatible with OpenAI, OpenRouter, and local models, and includes multi-user support with SSO, group workspaces, an admin dashboard, and export and sharing tools aimed at privacy-conscious teams. Pricing varies by plan. Check the official website for current pricing.

Best suited for

Privacy-conscious teams self-hosting transcription and summaries for internal meetings
Extracting action items and decisions from recorded calls
Searching and chatting across an entire archive of past recordings

Feature	AmplifAI	Speakr
Core capability	Speech-to-text transcription of voice calls plus analysis of chat and messaging conversations	Self-hosted transcription with automatic language detection
Standout feature	Conversational intelligence surfacing sentiment, intent, call reasons, and behavioral signals	Optional AI-powered speaker diarization
Team usage	Ask Your Transcripts: natural-language Q&A across call transcripts, QA data, and CX metrics	Customizable summaries plus an action-items view for decisions and tasks
Integrations	Automated QA scoring conversations across channels and triggering tailored coaching	Per-recording chat and an Inquire Mode for semantic search across the whole library
Languages & capture	Real-time transcription, sentiment, and next-best-action guidance with auto-summarized after-call notes	System and browser-tab audio capture
Best-fit workflow	Unified data integration across voice, chat, CRM, surveys, and workforce systems with role-based performance dashboards	Multi-user support with SSO, group workspaces, and admin dashboard

AmplifAI vs Speakr

About AmplifAI

About Speakr

Pricing comparison

Feature table

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Pros & cons

FAQ

Is AmplifAI or Speakr better for AI meeting notes?

How do AmplifAI and Speakr compare on price?

Can I use both AmplifAI and Speakr?

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