Is AmplifAI or Shadow 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 Shadow is strong for capturing notes and summaries across multiple conferencing platforms without a bot joining. Both transcribe and summarize meetings.

How do AmplifAI and Shadow compare on price?

AmplifAI is custom pricing and Shadow 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 Shadow?

Yes. Many teams run more than one meeting assistant when the workflows are complementary.

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AmplifAI vs Shadow

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. Shadow: A bot-free, Mac-based AI meeting assistant that transcribes and summarizes calls locally without joining as a participant. Which one wins depends on your platform mix, budget, and how hands-off you want notes to be.

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 Shadow when privacy-conscious teams that prefer on-device transcription matters most. Try them side by side on real calls before deciding — needs vary by team.

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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Shadow

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 Shadow

Shadow is a bot-free AI meeting assistant for macOS that captures meetings by listening to your computer's audio in the background rather than joining the call as a visible participant. Because transcription runs locally on the Mac, the audio does not need to leave the device for that core processing step, which the company positions as a privacy advantage. Shadow can automatically detect when a meeting starts, transcribe the conversation with speaker identification, and turn the discussion into structured notes, summaries, and follow-up items. It also captures on-screen content alongside the spoken audio, so material shared during a call (slides, dashboards, or shared windows) can be reflected in the output. The tool works across common conferencing platforms including Zoom, Microsoft Teams, Google Meet, Webex, Slack, and Discord. Users can configure customizable prompts (described as Skills) to generate notes, summaries, or drafted emails, and connect outputs to other tools via webhooks. It is aimed at professionals and teams who want meeting capture without adding another bot to the call. Pricing varies by plan. Check the official website for current pricing.

Best suited for

Capturing notes and summaries across multiple conferencing platforms without a bot joining
Privacy-conscious teams that prefer on-device transcription
Reviewing both what was said and what was shown during screen-shared meetings

Feature	AmplifAI	Shadow
Core capability	Speech-to-text transcription of voice calls plus analysis of chat and messaging conversations	Bot-free capture that records system audio without joining the meeting as a participant
Standout feature	Conversational intelligence surfacing sentiment, intent, call reasons, and behavioral signals	On-device (local) transcription on macOS
Team usage	Ask Your Transcripts: natural-language Q&A across call transcripts, QA data, and CX metrics	Speaker identification during transcription
Integrations	Automated QA scoring conversations across channels and triggering tailored coaching	Captures on-screen content in addition to spoken audio
Languages & capture	Real-time transcription, sentiment, and next-best-action guidance with auto-summarized after-call notes	Customizable prompts/Skills to generate notes, summaries, and emails
Best-fit workflow	Unified data integration across voice, chat, CRM, surveys, and workforce systems with role-based performance dashboards	Webhook integration to connect outputs to other tools

AmplifAI vs Shadow

About AmplifAI

About Shadow

Pricing comparison

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FAQ

Is AmplifAI or Shadow better for AI meeting notes?

How do AmplifAI and Shadow compare on price?

Can I use both AmplifAI and Shadow?

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