Is AmplifAI or Sotto 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 Sotto is strong for hands-free dictation of emails, messages, and documents across mac apps. Both transcribe and summarize meetings.

How do AmplifAI and Sotto compare on price?

AmplifAI is custom pricing and Sotto 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 Sotto?

Sure. Running both makes sense when their strengths don't overlap and the budget allows.

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AmplifAI vs Sotto

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. Sotto: Sotto is a native macOS voice-to-text dictation app that turns speech into text system-wide using local AI transcription models. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.

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 Sotto when privacy-first transcription of imported audio recordings on-device matters most. Test each on your own meetings; the right choice tends to become obvious quickly.

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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Sotto

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 Sotto

Sotto is a native Swift dictation app for macOS 13 and later that converts speech to text in real time. It works as a system-wide push-to-talk layer: the user holds a hotkey, speaks, and Sotto inserts clean text into whatever app is in focus, from Slack and Notion to Xcode and email fields. Audio is transcribed by local engines, including OpenAI Whisper models (Tiny through Large V3 Turbo and Distil Large V3) and NVIDIA Parakeet v2/v3, so by default recordings never leave the Mac; users can optionally connect cloud providers such as OpenAI or Groq with their own API keys for added accuracy. Beyond live dictation, it can import and re-transcribe audio files, supports 90+ languages, keeps a searchable history of recordings with timestamps, and offers a custom vocabulary dictionary. One-click AI processing can rewrite, summarize, translate, or reformat dictated text. It is aimed at developers, writers, and privacy-conscious professionals who want fast, local voice input rather than a cloud meeting-bot service.

Best suited for

Hands-free dictation of emails, messages, and documents across Mac apps
Privacy-first transcription of imported audio recordings on-device
Quickly capturing notes and ideas by voice into any text field

Feature	AmplifAI	Sotto
Core capability	Speech-to-text transcription of voice calls plus analysis of chat and messaging conversations	System-wide push-to-talk dictation that inserts text into any app
Standout feature	Conversational intelligence surfacing sentiment, intent, call reasons, and behavioral signals	Local on-device transcription via Whisper and NVIDIA Parakeet models
Team usage	Ask Your Transcripts: natural-language Q&A across call transcripts, QA data, and CX metrics	Audio file import and re-transcription with searchable, timestamped history
Integrations	Automated QA scoring conversations across channels and triggering tailored coaching	Support for 90+ languages with per-language hotkeys
Languages & capture	Real-time transcription, sentiment, and next-best-action guidance with auto-summarized after-call notes	One-click AI processing to summarize, translate, or rewrite dictated text
Best-fit workflow	Unified data integration across voice, chat, CRM, surveys, and workforce systems with role-based performance dashboards	Optional cloud transcription via user-supplied OpenAI or Groq API keys

AmplifAI vs Sotto

About AmplifAI

About Sotto

Pricing comparison

Feature table

Best for

Pros & cons

FAQ

Is AmplifAI or Sotto better for AI meeting notes?

How do AmplifAI and Sotto compare on price?

Can I use both AmplifAI and Sotto?

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