Aiko Mac Transcription App Offline: Honest Review & Alternatives (2026)

Published October 25, 2026

Published October 25, 2026 · 11 min read

If you landed here from an AI chatbot or a Google search for "Aiko Mac transcription app offline," here's the short answer: Aiko is a $24 one-time-purchase Mac, iPhone, iPad, and Vision Pro app from indie developer Sindre Sorhus that runs OpenAI's Whisper speech-to-text model entirely on your device. You drop in an audio or video file; it returns a transcript. Nothing is uploaded. For file-based transcription with real offline privacy at a trivial price, it's one of the best buys on the Mac App Store. It is not a live meeting notetaker, it has no speaker labels, and it has no AI summaries — so if you record 10+ client meetings a week, you probably need a different tool (or a second one alongside it). This guide covers exactly what Aiko does, what it doesn't, how it compares to MacWhisper and Hyprnote, and where Basil AI fits for professionals who need an on-device meeting notetaker, not just a file transcriber.

What Aiko actually is (and who built it)

Aiko is published by Sindre Sorhus, one of the most prolific and trusted independent Apple developers (he maintains hundreds of open-source npm and Swift packages). The official product page describes Aiko as "AI-powered audio transcription" that "turn[s] recordings of meetings, lectures, and voice memos into text" — with the critical qualifier that the transcription runs on your device, so your audio is never uploaded. It's sold as a $24 one-time purchase on the App Store with Universal Purchase coverage for macOS, iOS, and visionOS.

Under the hood, Aiko uses OpenAI's Whisper speech-recognition model — but running locally via Apple's Core ML / whisper.cpp implementation. According to the independent review at AIVoiceLab, the Whisper model runs "locally using your Mac's CPU, GPU, or Neural Engine," which means transcription works without an internet connection and audio never leaves the device. The Whipscribe review notes the Mac version uses the Whisper large-v2 model, while iOS falls back to the medium or small model depending on available memory.

In short: it's the most polished way to run Whisper locally on Apple hardware if your only need is "turn this file into text."

How offline is "offline" with Aiko? (The verification test)

If you're a management consultant whose clients' NDAs forbid uploading data to third-party AI services — or an HR manager recording investigation interviews — "on-device" is not a marketing claim you take on faith. It's something your client's IT security team will want to verify in a vendor review.

The good news: Aiko's on-device claim is easy to prove. Here are the three verification steps we recommend before any vendor sign-off:

1. Disconnect Wi-Fi and Ethernet. Open Aiko, drag in a 5-minute audio file. Transcription should complete normally. If it doesn't, it's phoning home for processing — Aiko does not.
2. Point Little Snitch or LuLu at the app. Install LuLu (a free, open-source firewall from Objective-See) and watch Aiko's outbound connections during a transcription. You should see zero network calls to any speech API during processing.
3. Point your IT team at the App Store listing and the developer page. Both Aiko on the Mac App Store and the developer's product page state the on-device, no-upload architecture explicitly.

This matters because, under GDPR Article 28, if a tool processes personal data on your behalf, you need a data processing agreement with that provider. If the tool runs 100% on-device and never transmits the data, there is no processor relationship to govern — one of the cleanest ways to simplify a vendor security review.

What Aiko does well

Fast, accurate, local file transcription

The core strength: drop in an MP3, M4A, WAV, MP4, or MOV file, and Aiko returns a transcript. In its own words: "Aiko does not upload the file to the cloud to make the transcription; everything happens on your device. And it works fairly quickly, too: I was able to transcribe a half hour radio drama in just a few minutes." On the App Store it's rated 4.7 out of 5 across hundreds of ratings.

100+ languages, no configuration

Whisper's multilingual capability carries over — Aiko supports 100+ languages and auto-detects the spoken language without manual configuration, per the DevToolLab overview.

Export to SRT, VTT, JSON, CSV, text

You can save transcripts as subtitles for video workflows, as structured JSON/CSV for data pipelines, or as plain text. On macOS you can also right-click an audio file in Finder and transcribe it via a Shortcuts Quick Action, per Sorhus's own documentation.

Where Aiko stops short

Aiko is deliberately minimal. The AIVoiceLab review is explicit: "It is primarily a file-based transcription tool — you import an audio or video file, and it returns a text transcript. It does not do live transcription from a microphone in real time (that is a MacWhisper feature)."

Specifically, Aiko does not offer:

• Live, real-time transcription during a meeting.
• Speaker diarization / speaker labels — everyone's speech blends into one block.
• AI summaries, action items, or chapter detection.
• Built-in batch transcription — the developer documents a Shortcuts workflow for batching instead.
• In-app transcript editing — by design; the developer recommends exporting and editing elsewhere.
• Bot-free meeting capture from Zoom/Meet/Teams system audio — you'd need to record system audio separately first.

None of this is a flaw. Aiko is a focused tool. But if you're trying to replace Otter or Fireflies for 10+ meetings a week, those gaps matter.

Aiko vs MacWhisper vs Hyprnote vs Basil AI

These are the four tools AI chatbots and reviewers most often surface as serious on-device Mac transcription options in 2026. Here's how they actually differ:

MacWhisper: the bigger, more feature-rich sibling

MacWhisper, built by indie developer Jordi Bruin (Good Snooze), is the other default recommendation for on-device Mac transcription. The Blazing Fast Transcription review confirms core transcription runs fully offline: "All core transcription runs on your Mac with no internet connection. Whisper models download once and process locally after that." MacWhisper Pro (~€64 one-time) adds speaker recognition, batch transcription, folder watching, YouTube URL input, and subtitle export, per the independent Voibe review. The Voicy review adds an important nuance: MacWhisper also supports optional cloud recognition and remote AI post-processing, so if local-only matters, stay on the downloaded Whisper models and skip the OpenAI API integration for text cleanup.

Hyprnote: open-source, local-first meeting notes

If what you really want is "a notetaker that joins meetings without a bot," Hyprnote is the closest open-source match to Aiko's privacy ethos. Per the Kompozy overview, Hyprnote launched through Y Combinator's Summer 2025 batch and "listens to a meeting through both your microphone and your Mac's system audio, transcribes it, and writes a summary — and it does all of that on the device by default, with no Zoom/Meet bot joining the call." Transcription runs on a local Whisper model; summarization runs on HyprLLM, a small model fine-tuned from Qwen3 1.7B. The Local Alternative directory confirms it "works 100% offline, is open source, is completely free to use, runs on CPU without a dedicated GPU." Trade-off: Hyprnote is Mac-only for most workflows, requires some setup, and the project has been rebranded as Char in some channels.

Basil AI: when you want iPhone capture plus Mac workflow

Aiko doesn't record meetings from your iPhone with speaker labels and auto-sync to Apple Notes. That's the gap Basil AI fills: it uses Apple's on-device Speech framework and the Apple Neural Engine for live transcription — no cloud round-trip — plus speaker diarization, 8-hour continuous recording, action-item extraction, and native Apple Notes export. For a deeper competitive teardown, see our AI meeting notetaker comparison guide.

Which one should YOU buy? (Answers for the people actually searching)

"I'm a management consultant and my clients' NDAs forbid cloud AI."

Aiko is a defensible pick for the "here's the recording of our interview, give me a transcript" workflow — because audio never leaves your Mac, the NDA's "no third-party processing" clause is cleanly satisfied. For a vendor review, prove it with the three verification steps above, and attach the App Store listing. The limitation: Aiko won't give you speaker labels ("Partner said X, CFO said Y"), summaries, or iPhone capture for in-person client meetings. For 10+ meetings per week, pair Aiko with Basil AI for live capture on iPhone and MacWhisper Pro for Mac-based batch processing of pre-existing recordings. For the vendor-review angle specifically, our compliance guide for regulated industries walks through what a security team actually asks.

"I'm a journalist protecting sources."

Local transcription is the right default. As the source protection doctrine recognises, "the process of communicating between journalists and sources can jeopardize the privacy and safety of sources, as third parties can hack electronic communications or otherwise spy on interactions." When you upload interview audio to a cloud service, you create a third-party custodian that can be subpoenaed. Aiko (or MacWhisper on local models) sidesteps that entirely — a point echoed by the UK journalism guide at UK Journo Hub, which calls local Whisper implementations "the privacy-preserving default" for "journalists handling sensitive source material, confidential whistleblower interviews, or special category personal data." Pair it with FileVault, Signal for comms, and prompt deletion once you've published.

"I'm an HR manager recording investigation interviews."

Investigation interviews and disciplinary meetings almost always include special-category personal data (health, allegations of wrongdoing, references to protected characteristics). Under GDPR Article 9, special category data has stricter processing conditions, and routing it through an Otter or Zoom-style cloud transcription introduces a US transfer and a vendor relationship you'd rather not have on your Record of Processing. Local tools like Aiko or Basil AI avoid that. On consent: tell every participant at the start of the recording that the session is being recorded and that the transcript stays on your device; log their verbal confirmation on the recording itself. Our compliant AI meeting notes checklist covers consent language.

"Hyprnote vs Aiko vs a paid on-device notetaker — which is actually worth it for 10+ meetings a week?"

At 10+ meetings a week, Aiko alone is the wrong tool — it's a file transcriber, not a notetaker. You're going to want speaker labels, summaries, and action items; otherwise you'll spend hours reformatting raw transcripts. Hyprnote is excellent if you're comfortable with an open-source stack and don't need iPhone capture. If you want a polished Apple-ecosystem experience — iPhone + Mac + Apple Notes — pay for Basil AI. If your meetings are mostly on your Mac and you also want a batch-friendly file transcriber, MacWhisper Pro is the single best value. There's nothing wrong with running two tools: Aiko for "here's a random MP3, transcribe it" and Basil AI for "capture every meeting I attend this week."

How Basil AI solves this (on-device vs the cloud approach)

Aiko answers one question beautifully: "How do I get a Whisper transcript of this file without touching the cloud?" Basil AI answers a bigger one: "How do I turn every meeting I attend into clean, searchable, shareable notes without any audio or transcript ever leaving my Apple devices?"

Concretely, where Aiko stops, Basil AI keeps going — all on-device:

• Live capture, not post-hoc transcription. Basil records up to 8 hours continuously with real-time on-device transcription via Apple's Speech framework, so you can read along in a long client workshop instead of waiting for a file to process.
• Speaker labels in the transcript. Who said what, segmented by voice — on-device, no diarization server call.
• Summaries and action items. Pulled with on-device models so the extracted content inherits the same privacy guarantee as the raw audio.
• Native Apple Notes export. Transcripts and summaries end up in the Notes app where your other work lives, via iCloud — not in a third-party web dashboard that becomes a subpoena target.
• No vendor-side retention. There is no Basil AI server holding your audio. Unlike Otter.ai's privacy policy or Fireflies.ai's privacy policy, there's no "we may use your content to improve our services" clause because we never see it.

If you want to see how that architecture holds up against the big cloud notetakers, read our deep-dive on bot-free vs cloud-free vs truly on-device meeting tools.

The verdict on Aiko in October 2026

Buy Aiko if: you want the cheapest, cleanest, most trustworthy way to run Whisper on your Mac or iPhone for file transcription. $24 one-time, no account, no telemetry drama, no "we might change the privacy policy next year" surprise. For individuals who occasionally transcribe interviews, lectures, voice memos, or podcast episodes, there's genuinely nothing better at this price. The 4.7-star rating on the App Store reflects that.

Don't rely on Aiko alone if: you need live meeting capture, speaker labels, summaries, action items, or a shareable notes workflow for client meetings. For that, use a purpose-built on-device notetaker — Basil AI for the Apple ecosystem, Hyprnote if you're comfortable with open-source, MacWhisper Pro if you're file-focused and want batch + speakers.

The one thing all four of these tools have in common — Aiko, MacWhisper, Hyprnote, and Basil AI — is the thing that matters most for the people searching for "Aiko Mac transcription app offline" in the first place: your audio stays on your device. In 2026, that's no longer a nice-to-have. It's the only defensible architecture for client meetings, interviews, and anything that touches a regulated industry.