TwinMind

TwinMind frames itself as a “second brain” rather than a meeting recorder. Instead of treating each call as an isolated transcript, it captures your conversations all day and builds a searchable personal memory you can question in plain language. Ask it to summarize last week’s meetings or recall what a colleague committed to, and it pulls the answer from your own history. The pitch leans less on note-taking and more on remembering.

The app runs on iOS and Android as first-class native apps, with a web app at app.twinmind.com and a Chrome extension for desktop meetings. There’s still no native Mac or Windows app, which the company acknowledges as a roadmap gap. Capture happens without a bot: TwinMind transcribes on-device and keeps the audio local, then leans on the cloud for the heavier AI work like multi-model chat and memory search. It supports continuous all-day capture, roughly 14 to 17 hours in a stretch depending on the source.

TwinMind is no longer the unproven curiosity it was a year ago. In September 2025 the company raised a $5.7M seed round led by Streamlined Ventures, with Sequoia Capital and Stephen Wolfram participating, at a reported valuation near $60M. The ex-Google X founding team shipped a new in-house speech model the same month, and the site now markets “400,000+” minds augmented by mid-2026. The product still has rough edges, but the trajectory is real and the transcription story in particular has flipped from a weakness to a selling point.

Key Features

The headline change is Ear-3, TwinMind’s own speech recognition model launched in September 2025. The company publishes benchmarks of roughly 5.26% word error rate and 3.8% speaker diarization error rate, with speaker labeling and support for 140+ languages. Those are vendor-reported numbers, not independently re-run by a neutral lab, but multiple 2026 reviews cite them and the practical experience has clearly improved. Ear-3 rolled out to iPhone, Android, and Chrome for Pro users.

The other pillar is Ask Anything, a natural-language search across your full conversation and memory history. You can ask things like “summarize all my meetings last week” and get an answer drawn from everything TwinMind has captured. It pairs this with multi-model AI chat, letting you route questions to ChatGPT, Claude, or Gemini against your own context. This RAG-style “second brain” search is the real product, not a visualized graph diagram.

On-device audio capture works without a meeting bot, so nothing announces itself or joins your call. TwinMind handles continuous all-day capture, expanded multilingual transcription with real-time translation across 140+ languages, and offline transcription that keeps audio on the device. The iOS and Android apps, the web app, and the Chrome extension keep your history accessible across devices.

Pricing

The free plan is now genuinely generous. TwinMind markets it as unlimited transcription, unlimited AI chats and summaries, and real-time suggestions, with access to all AI models. That said, the exact ceiling is fluid: some independent sources still cite a 20-hours-per-week cap, and TwinMind has occasionally run promos offering Pro free. Treat “unlimited” as the current headline rather than a guaranteed permanent limit.

Pro costs $15/month month-to-month, or $12.50/month billed annually. It adds premium transcription across 100-plus languages, the best AI models, expanded context, and priority support. A new top tier, Max, lists at about $39.99/month and adds the TwinMind Email Assistant, unlimited any-model chats, the largest context window for Deep Memory Research, unlimited storage, and unlimited phone-call and audio hours, plus a 7-day trial. (A lower $23.99 figure circulates, but that appears to be a promo price; $39.99 is the list rate.) There’s no public self-serve enterprise or team plan with admin controls, though some aggregators mention custom team pricing.

Privacy & Security

On-device transcription is TwinMind’s strongest privacy feature. Audio is processed locally and stays on the device rather than being streamed to external servers, and capture happens without a bot sitting in the meeting. The trade-off is the hybrid model: Ask Anything search, the multi-model chat, and Deep Memory Research involve cloud processing, so your conversation data does leave the device for those features. For a young company the architecture is thoughtful and clearly privacy-minded, but the long-term data-handling track record is still shorter than that of larger incumbents.

Best For

TwinMind suits people who want a personal memory layer more than a polished team note-taker: heavy meeting-goers, researchers, and individuals who attend back-to-back conversations and want to query their own history later. The strong on-device transcription and bot-free, all-day capture make it a good fit for anyone privacy-conscious working primarily from a phone. It’s a weaker pick for teams that depend on a native Mac or Windows app, for workflows that need deep CRM or task-manager integrations, and for organizations that require enterprise admin controls and compliance tooling, none of which TwinMind currently offers.

How TwinMind Compares to Hedy

TwinMind and Hedy share real DNA: both capture on-device, both skip the meeting bot, and both keep audio local rather than streaming it to a server. TwinMind has closed ground fast, and its Ear-3 model plus Ask Anything memory search make it a more serious tool than it was a year ago. The honest comparison is closer than it used to be on the things they have in common.

Where Hedy still pulls ahead is the depth of the on-device approach and the breadth of platforms. Hedy runs transcription, summaries, and real-time coaching fully on-device, so the intelligence during a meeting doesn’t depend on a round trip to the cloud; TwinMind transcribes locally but routes its chat and memory search through cloud models. Hedy also gives you live coaching as the conversation happens, while TwinMind’s strength is retrospective recall after the fact. And Hedy ships native Mac and Windows apps alongside iOS, Android, and web, where TwinMind still has no desktop app. For someone who wants end-to-end on-device AI and coaching in the moment, Hedy remains the more complete pick; for a phone-first personal memory you can interrogate later, TwinMind has become a legitimate option.