Is AmplifAI or Maestra 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 Maestra is strong for generating multilingual subtitles for video content. Both transcribe and summarize meetings.

How do AmplifAI and Maestra compare on price?

AmplifAI is custom pricing and Maestra 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 Maestra?

You can — some teams pair them when each covers a different part of the meeting workflow.

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AmplifAI vs Maestra

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. Maestra: AI platform for transcription, subtitles, dubbing, and live captioning across many languages. 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 Maestra when adding live captions to webinars, streams, and meetings 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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Maestra

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 Maestra

Maestra is an AI-powered media platform that provides transcription, subtitling, translation, and dubbing for audio and video content, both on demand and in real time. For transcription, users upload audio or video and Maestra produces speech-to-text output with features such as speaker detection, punctuation, and timestamps. The platform can auto-generate subtitles and captions, which users can edit, style, and export in multiple formats, and it can translate that text across a large set of languages. Maestra also offers live transcription for meetings, webinars, and streams, with stated integrations for platforms including Zoom and Microsoft Teams, as well as live production tools. This makes it usable both as a post-production transcription and captioning service and as a real-time captioning layer over live sessions. Maestra is aimed at media companies, content creators, marketers, and organizations that need multilingual transcripts, subtitles, and captions, and that may also want real-time captioning for live events and meetings. Pricing varies by plan. Check the official website for current pricing.

Best suited for

Generating multilingual subtitles for video content
Adding live captions to webinars, streams, and meetings
Producing transcripts with speaker labels and timestamps

Feature	AmplifAI	Maestra
Core capability	Speech-to-text transcription of voice calls plus analysis of chat and messaging conversations	AI transcription with speaker detection, punctuation, and timestamps
Standout feature	Conversational intelligence surfacing sentiment, intent, call reasons, and behavioral signals	Automatic subtitle and caption generation with editing tools
Team usage	Ask Your Transcripts: natural-language Q&A across call transcripts, QA data, and CX metrics	Translation of transcripts and subtitles across many languages
Integrations	Automated QA scoring conversations across channels and triggering tailored coaching	Real-time live transcription for meetings, webinars, and streams
Languages & capture	Real-time transcription, sentiment, and next-best-action guidance with auto-summarized after-call notes	Integrations with live and meeting platforms such as Zoom and Microsoft Teams
Best-fit workflow	Unified data integration across voice, chat, CRM, surveys, and workforce systems with role-based performance dashboards	AI transcription with speaker detection, punctuation, and timestamps

AmplifAI vs Maestra

About AmplifAI

About Maestra

Pricing comparison

Feature table

Best for

Pros & cons

FAQ

Is AmplifAI or Maestra better for AI meeting notes?

How do AmplifAI and Maestra compare on price?

Can I use both AmplifAI and Maestra?

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