Is AmplifAI or Daisy 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 Daisy is strong for recording and transcribing meetings privately on a mac without cloud upload. Both transcribe and summarize meetings.

How do AmplifAI and Daisy compare on price?

AmplifAI is custom pricing and Daisy 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 Daisy?

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

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AmplifAI vs Daisy

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. Daisy: Local-first, open-source macOS meeting recorder and AI notes app that transcribes on-device and exposes meetings to AI tools through a local MCP server. Here's where each one pulls ahead on pricing, features, and the meetings it suits best.

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 Daisy when feeding meeting transcripts into claude desktop or cursor via a local mcp server 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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Daisy

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 Daisy

Daisy, from Addicted Studio, is a local-first meeting recorder and AI notes application for macOS that records meetings on the Mac, transcribes them on the device, and then exposes the captured conversations as a local MCP server for AI tools. It captures both microphone and system audio from any source, including Zoom, Google Meet, Telegram, and other apps, using ScreenCaptureKit, and performs on-device transcription with WhisperKit plus speaker identification via Pyannote diarization, so audio never leaves the Mac unless the user explicitly enables a cloud LLM provider. Beyond raw transcription, Daisy generates structured notes with action items and follow-ups and supports multiple summarization backends including Apple Intelligence, Anthropic, and OpenAI, as well as MCP. Because it runs a local MCP server, tools such as Claude Desktop and Cursor can read recorded meetings directly, and Daisy can export results to Notion, Linear, Attio, Slack, or arbitrary webhooks. It offers several capture modes covering meeting recording, voice dictation, and quick voice notes. Daisy is a native Mac application (not Electron) for Apple Silicon, is fully open source on GitHub under the Apache 2.0 license, and emphasizes privacy with no telemetry, tracking, or required account. The project maintains a product site at mydaisy.io with installation, FAQ, and support documentation. Pricing varies by plan. Check the official website for current pricing.

Best suited for

Recording and transcribing meetings privately on a Mac without cloud upload
Feeding meeting transcripts into Claude Desktop or Cursor via a local MCP server
Pushing meeting summaries and action items into Notion, Linear, Slack, or webhooks

Feature	AmplifAI	Daisy
Core capability	Speech-to-text transcription of voice calls plus analysis of chat and messaging conversations	Local recording of mic and system audio from any source via ScreenCaptureKit
Standout feature	Conversational intelligence surfacing sentiment, intent, call reasons, and behavioral signals	On-device transcription with WhisperKit and speaker diarization via Pyannote
Team usage	Ask Your Transcripts: natural-language Q&A across call transcripts, QA data, and CX metrics	Structured AI notes with action items and follow-ups
Integrations	Automated QA scoring conversations across channels and triggering tailored coaching	Multiple summarization backends: Apple Intelligence, Anthropic, OpenAI, and MCP
Languages & capture	Real-time transcription, sentiment, and next-best-action guidance with auto-summarized after-call notes	Local MCP server so Claude Desktop, Cursor, and similar tools can read meetings
Best-fit workflow	Unified data integration across voice, chat, CRM, surveys, and workforce systems with role-based performance dashboards	Exports to Notion, Linear, Attio, Slack, or custom webhooks

AmplifAI vs Daisy

About AmplifAI

About Daisy

Pricing comparison

Feature table

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Pros & cons

FAQ

Is AmplifAI or Daisy better for AI meeting notes?

How do AmplifAI and Daisy compare on price?

Can I use both AmplifAI and Daisy?

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