Aqua Voice: Aqua Voice is an AI-powered, system-wide voice dictation app that turns speech into refined text in real time across the apps you already use on Mac and iPhone. Otter.ai: Real-time meeting transcription, summaries and conversational AI search Here's where each one pulls ahead on pricing, features, and the meetings it suits best.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Aqua Voice when dictating emails, documents, and slack messages hands-free across desktop apps matters most, and Otter.ai when note-taking for interviews and lectures matters most. Try them side by side on real calls before deciding — needs vary by team.
Aqua Voice is an AI-powered, system-wide voice dictation app that turns speech into refined text in real time across the apps you already use on Mac and iPhone.
Real-time meeting transcription, summaries and conversational AI search
Aqua Voice is an AI dictation tool built by Aqua Voice, Inc. (a Y Combinator startup) that converts spoken words into written text in real time. Rather than a standalone transcription window, it works system-wide: users hold a key (such as Space) and speak, and the dictated text is inserted into whatever app is in focus, including Gmail, Google Docs, Slack, code editors, and AI chat tools. It runs on macOS and iOS, with the iPhone app now live. Aqua is powered by Avalon, the company's proprietary speech-to-text model trained on prompt-style speech, code, and email, and it refines grammar and phrasing as you talk. It supports context awareness of on-screen content, a custom dictionary for technical terms and names, natural-language editing commands ("make this a list," "rephrase that"), style adaptation, and multilingual input across dozens of languages. It is aimed at developers, knowledge workers, and content creators who want a faster alternative to typing for emails, documents, messages, prompts, and code.
Best suited for
Otter.ai joins Zoom, Google Meet, and Microsoft Teams calls to transcribe them live, identify speakers, and generate summaries with action items. The free Basic plan includes 300 transcription minutes per month; paid plans raise the minute cap, allow longer meetings, and add advanced AI workflows and team features. Otter integrates with Salesforce, HubSpot, and Zapier, and offers an MCP server for AI assistants.
Best suited for
Aqua Voice is a free tier with paid upgrades (freemium); Otter.ai is from $8.33/mo (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aqua Voice | Otter.ai |
|---|---|---|
| Core capability | System-wide dictation that inserts text into any focused app (Gmail, Docs, Slack, code editors, AI chats) | Live transcription |
| Standout feature | Avalon proprietary speech-to-text model tuned for technical vocabulary, code, and prompt-style speech | Speaker ID |
| Team usage | Custom dictionary for names, brands, and technical terms | AI summaries |
| Integrations | Natural-language editing commands like 'make this a list' or 'rephrase that' mid-dictation | CRM integrations |
| Languages & capture | Context awareness of on-screen content, including code syntax | Live transcription |
| Best-fit workflow | Multilingual input across dozens of languages | Speaker ID |
Aqua Voice
Choose Aqua Voice if you need dictating emails, documents, and slack messages hands-free across desktop apps — strengths include low-friction, system-wide voice input that works inside existing apps with no per-app setup.
Otter.ai
Choose Otter.ai if you need live transcription you can read during the meeting — strengths include free plan with 300 transcription minutes per month.
Aqua Voice
Otter.ai
It depends on your workflow. Aqua Voice is strong for dictating emails, documents, and slack messages hands-free across desktop apps, while Otter.ai is strong for live transcription you can read during the meeting. Both transcribe and summarize meetings.
Aqua Voice is a free tier with paid upgrades and Otter.ai is from $8.33/mo. Check each vendor's pricing page for the latest plans and free-tier limits.
Often yes: teams combine tools when one handles capture and another handles analysis.
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