Short answer: Jamie is a meeting note taker. AICHE is a voice typing layer. Jamie writes up the meeting you just had. AICHE writes up the Slack reply, the Cursor prompt, the email, the note, the JIRA ticket, every block of text you'd otherwise type. Different products, different prices, very little overlap. Pick AICHE if you want one voice layer across macOS, Windows, Linux, iPhone, iPad, Apple Watch, Android, Chrome, Obsidian, and a REST API. Pick Jamie if your only goal is automated notes from Zoom and Teams calls without a bot joining the room.
What Jamie is selling
Jamie markets itself as "the privacy-first AI note taker. Without a bot." The pitch is straightforward: install a desktop app, it captures audio locally on your machine, it does not show up as a participant in your Zoom or Teams call, and after the meeting you get structured notes, a transcript, and action items. The headline differentiator (and the one independent reviewers consistently single out) is the absence of a "Jamie's Note Taker" bot showing up on the participant list. For client-facing calls in Europe, that matters.
Around that core, Jamie stacks a fairly standard meeting-AI feature set: speaker recognition with auto-labeling ("Speaker Memory"), an "Ask AI" chat layer that queries one meeting or across all of them, integrations with Notion, Google Docs, and OneNote on lower tiers plus Salesforce, HubSpot, and Asana on Pro and above, and human-readable summaries in 99+ languages. The product captures in-person meetings as well as video calls, which is a real point for sales and field-research workflows.
The compliance story is the other half of the marketing. Jamie leans hard on GDPR, ISO 27001 certification, EU hosting in Ireland by default, and an explicit "we do not train on customer data" clause. For European buyers who want a meeting AI that survives a procurement review, Jamie is built to fit the slot.
The feature comparison
| AICHE | Jamie | |
|---|---|---|
| Product category | Voice-to-text input layer (any app) | Meeting note taker (Zoom, Teams, Meet, in-person) |
| macOS | Native app, global hotkey | Native app |
| Windows | Native app, global hotkey | Native app |
| Linux | Native app (.deb, .rpm, AppImage, Flatpak) | No native app |
| iPhone / iPad | Native apps, App Store | Companion app for reviewing notes |
| Apple Watch | Native app, record from wrist | None |
| Android | Native app, home-screen widget | None (web only) |
| Chrome extension | Yes, inserts into web text fields | None |
| Obsidian plugin | Yes (Community Plugins) | None |
| REST API | Yes (Pro tier) | None public; Enterprise integrations only |
| Global hotkey to dictate into any app | ⌃+⌥+R (Mac) / Ctrl+Alt+R (Win/Linux) |
Not a feature; Jamie is a meeting recorder |
| Insert text at cursor in active app | Yes | No |
| Free tier | 7-day Pro trial, no credit card | Free forever, 10 meetings/month, 30 min cap each |
| Personal monthly (current) | $4.99/mo | €21/mo (Plus) or €39/mo (Pro) |
| Personal annual | $47.99/yr ($3.99/mo equivalent) | €250/yr Plus, €470/yr Pro |
| Team plan | Pro tier includes admin, seats, unified billing | €33/seat/mo, 2-seat minimum |
| Enterprise | Pro tier covers small teams; no SSO upsell | Custom, 10+ seats, SAML SSO, EU residency |
| Custom vocabulary | 50 entries, synced across all platforms | Speaker labels but no documented user dictionary |
| Software Development profile | Yes (Pro): code identifiers, CLI flags, library names | None |
| Transcription languages | 99 | 99+ for summaries; transcription supports a comparable range |
| Mobile UI languages | 28 | App is English-led |
| Speed | ~3s for 15 minutes of audio; sub-100ms cold start | Async; reviewers cite processing taking several minutes |
| Real-time transcription | Yes | No, processing is post-meeting |
| Audio retention | within 1 second after processing, then discarded | "Not stored after transcription" per marketing; sub-processor retention varies per their published privacy documentation |
| Encryption | AES-256-GCM at rest, modern TLS, with certificate pinning on iOS and Android, Argon2id key derivation, E2EE sync (opt-in) | AES-256 at rest, TLS 1.2 stated; EU hosting; ISO 27001 |
| Voice for AI coding agents | Yes (Pro): Claude Code, Codex, Cursor, Antigravity, pause-aware send | None |
Where Jamie wins
A comparison that pretends Jamie has no advantages would be dishonest. Three things Jamie genuinely does that AICHE does not:
1. Meeting capture as a category. Jamie joins the call (without being a bot), keeps speaker-labeled notes, and emits a structured summary with action items at the end. AICHE is not that product. If your only goal is "I want Zoom and Teams meetings written up automatically, with speakers identified, dropped into Notion or HubSpot," Jamie is closer to the job. AICHE captures voice, but it is not a meeting-minutes generator and does not integrate with CRMs.
2. The bot-free angle for client-facing calls. This is the real one. In a sales call, a coaching session, a doctor-patient consultation, or a regulated industry meeting, having "Jamie's Note Taker" appear on the participant list is a problem. Jamie sidesteps that by recording audio locally on the user's device instead of joining as a participant. Reviewers consistently flag this as the feature that justifies switching from Otter or Fireflies, and it is a credible advantage.
3. EU-default residency and ISO 27001. Jamie's storage and primary processing sit inside the EEA (Ireland) by default, not as an Enterprise upsell. They hold ISO 27001 certification. For European procurement teams that need a compliance answer in week one, this is a real shortcut. AICHE's privacy model is strong on the audio path (named provider, immediate audio purge, E2EE sync) but does not lead with a regional residency or a third-party certification badge.
If those three are what you need, Jamie is the buy. The rest of this page is for everyone else.
Where AICHE wins
The categories barely overlap, but where they touch, AICHE's six pillars carry the comparison.
1. Platform coverage
AICHE runs on macOS, Windows, Linux, iPhone, iPad, Apple Watch, Android, Chrome (extension), Obsidian (plugin), and exposes a REST API. 9 platforms.
Jamie ships macOS and Windows desktop apps, an iOS companion app for reviewing and editing notes, and a web dashboard at app.meetjamie.ai. No Linux native app. No Android native app. No Apple Watch. No browser extension. No Obsidian plugin. If you live on a Linux laptop, take notes on Android, or want a one-tap recorder on your wrist, Jamie does not have an answer.
The asymmetry matters even for users who only care about one of those platforms. A team where half the engineers run Linux and half run macOS can standardize on AICHE. With Jamie, the Linux half is on a web dashboard only.
2. Real REST API
AICHE Pro exposes voice transcription as a REST API you can call from your own scripts, automations, and internal tools. If you want a bot in your CI that drops a voice-note summary into a PR, or a workflow that lets a teammate hit a hotkey and have the transcript land in a Notion database via Zapier, AICHE has the surface to do it.
Jamie's pricing page lists Salesforce, HubSpot, and Asana integrations on Pro+, but does not advertise a public REST API for voice transcription. Custom integrations sit in the Enterprise tier, which is "contact sales, 10+ seats minimum." If you are a solo developer or a small team that wants to script against the product, AICHE is the only side of this comparison that offers that surface.
3. Real team plan
AICHE's Pro tier is the team plan. Seats, roles, unified billing, an admin panel, the same $99.99/yr (~$8.33/mo equivalent) sticker per seat. No two-seat minimum, no "contact sales" gate.
Jamie's Team tier is €33/seat/mo (€390/seat/yr) with a 2-seat minimum. Enterprise (SAML SSO, EU residency, admin controls) starts at 10 seats and is custom-priced. For a five-person engineering team that wants shared billing and seat management, AICHE comes in at roughly one-fifth the per-seat price. For a thirty-person sales team that needs SSO and a procurement-friendly contract, Jamie is the better fit, and the price reflects that.
4. Software developer fit
AICHE Pro ships a Software Development recognition profile tuned for code identifiers, CLI flags, library names, snake_case, kebab-case, and the rest of the syntax that mainstream voice apps mangle. Plus 50 entries of custom vocabulary (synced across every platform) for repo names, internal service names, and team jargon.
Jamie does not target this use case. The product is built for meeting summaries, not for dictating kubectl apply -f deployments/staging.yaml --namespace=billing-prod. If you want to speak prompts into Claude Code, Cursor, or Codex, or dictate a Slack message that contains code, or fill out a JIRA ticket with technical terminology, AICHE is the product. Jamie is not.
5. Pricing
AICHE Personal: $4.99/mo monthly, $47.99/yr annual ($3.99/mo equivalent). AICHE Pro: $9.99/mo monthly, $99.99/yr annual ($8.33/mo equivalent). 7-day free trial of Pro, no credit card. Full pricing.
Per Jamie's pricing page as of May 2026: Jamie Plus is €21/mo, capped at 20 meetings/month at 2 hours each. Jamie Pro is €39/mo, unlimited meetings at 3 hours each. Jamie Team is €33/seat/mo with a 2-seat minimum. The free tier is capped at 10 meetings/month at 30 minutes each, which independent reviewers consistently call too tight to evaluate the product against a real week of calls.
In ballpark terms, Jamie Pro at €39/mo is roughly 4-5x the equivalent AICHE Pro tier. The price difference makes sense once you remember they do different things. The point is only that "I want voice-to-text" and "I want meeting notes" carry different price tags, and pretending Jamie's number is comparable to AICHE's is unfair to both.
6. Speed and quality
AICHE returns transcribed, cleaned text in roughly 3 seconds for 15 minutes of audio. Cold start to recording is sub-100ms. The workflow assumes you want the text now, in the active app, at the cursor.
Jamie is asynchronous by design. The meeting ends, processing runs, the summary lands when it lands. Independent reviewers note that processing can take several minutes: BluedotHQ's Jamie review flags "Slow Note Generation: Processing can take several minutes, which may delay access to critical information in real time," and summarizemeeting.com's review pegs summary delivery at "1 to 5 minutes after you stop recording." As with any async cloud-processing product, occasional reports of processing failures or speaker-label misses appear in public reviews. This is not a knock on Jamie's accuracy when it works, just a reminder that meeting summarization and live voice typing have different latency contracts.
The flip side of asynchronous cloud processing is what happens when the processing pass fails. On AICHE, if a network drop, app crash, server error, or subscription lapse hits mid-recording, the audio falls into a local Later queue, encrypted on disk via OS-native secure storage, and finishes processing when conditions allow. The recording is yours from the moment you stop speaking. For users who have been burned by a voice product silently losing a 30-minute capture, that queue + retry safety net is part of why "cloud processing" doesn't have to mean "one shot at the recording."
A note on privacy
Both products care about privacy and both publish their model. There is no direct lawsuit naming Jamie, and we are not going to invent one. There IS a worth-knowing category-wide legal trend that touches Jamie's architecture, and the surprising wrinkle of "no bot" - which we get to in a moment.
Worth knowing on the operational side: Jamie's "no bot joins your call" is about the participant list. Per Jamie's own privacy documentation, audio is captured on the user's local device, then sent to Jamie's cloud for processing, which routes through several specialized sub-processors (a model provider, an audio-handling provider, an interim queue provider). Retention windows vary by sub-processor according to that same documentation. That is the operational reality behind the EU-default residency. None of this is hidden, and Jamie's privacy page lays it out - we recommend reading it directly.
The category-wide legal context is worth flagging for any team evaluating an AI meeting tool that records other participants. Two cases set the backdrop:
- In re Otter.AI Privacy Litigation (N.D. Cal., 5:25-cv-06911), filed August 2025 and consolidated October 2025 (NPR coverage of the underlying Brewer v. Otter.AI complaint). Tests whether OtterPilot auto-joining and recording without affirmative non-host consent violates the federal Electronic Communications Privacy Act and California's Invasion of Privacy Act (CIPA, an all-party-consent statute). Motion-to-dismiss hearing scheduled May 20, 2026.
- Cruz v. Fireflies.AI Corp. (C.D. Ill., December 2025) - National Law Review analysis. Tests whether Fireflies' speaker-recognition / voiceprint feature triggers Illinois BIPA consent + notice + retention requirements when participants in a meeting are recorded without their independent consent.
Neither case names Jamie. Both are active as of May 2026. The legal theory they share - that statutes like CIPA and BIPA apply to AI-assisted meeting recording regardless of which vendor's product is doing it - is squarely relevant to Jamie's product category. The interesting wrinkle for Jamie specifically: independent privacy analysis (Sally.io's GDPR review of Jamie) flags that because Jamie has no visible bot, the consent-disclosure question can be harder, not easier - other participants can't see "Jamie is recording" the way they'd see a named bot like OtterPilot or Fireflies in the participant list. Sally.io's framing: "transparency is often lacking - since no bot appears, the tool can be used silently, without others noticing. While Jamie can theoretically be used in a GDPR-compliant way, in practice it often isn't, with many users activating it without properly informing others."
That isn't a Jamie product defect; Jamie's own documentation emphasizes informing participants. It's a workflow and disclosure question that the user has to resolve. The point worth surfacing here is that "no bot joins your call" is a participant-list claim, not an automatic legal-compliance solve. In all-party-consent jurisdictions or for BIPA-relevant features, "invisible to participants" can actually be a harder consent posture to defend than "visible bot that participants can refuse." Talk to your legal team about what your specific use case requires.
AICHE's architecture sidesteps this entire conversation because AICHE doesn't record meetings at all. No auto-join, no invisible client-side meeting capture, no third-party-participant exposure. AICHE is a single-user voice input layer: one human presses the hotkey, that human speaks into their own microphone, the text inserts at that human's cursor. The all-party-consent question and the voiceprint-collection question both fall off the table because there are no other parties whose audio AICHE is processing.
AICHE's audio path uses a single named cloud transcription provider (Groq), processes audio in seconds, and discards it. Audio retention is within 1 second after processing. Cloud sync for transcripts is opt-in and end-to-end encrypted with a passphrase-derived key, so the sync server cannot read what it stores. No global keystroke logging, no clipboard monitoring outside explicit user action, no active window title transmission.
If you are choosing on privacy:
- Multi-vendor passthrough vs single named provider is a real architectural question to ask of any voice product.
- Where is audio at rest, for how long, and with whom? Both products publish this; read both.
- Is sync end-to-end encrypted with a key the vendor cannot derive? AICHE: yes (opt-in). Jamie publicly describes TLS in transit and AES-256 at rest; whether keys are user-derived is a question to confirm against their current documentation.
- Are claims like "GDPR compliant" backed by where the data physically sits? Jamie's EU-default residency is a real answer to that question.
Common questions
Q: I want both meeting notes and voice typing. Should I buy both?
A: That is a reasonable setup. AICHE for dictation, prompts, Slack, email, code, daily voice notes, and any text you would otherwise type. Jamie for the weekly client calls where you want a structured summary with speakers labeled and action items. They do not conflict and they do not duplicate.
Q: I am on Linux. Can I use Jamie at all?
A: Only through the web dashboard at app.meetjamie.ai. There is no native Linux app. AICHE has a native Linux app shipping as .deb, .rpm, AppImage, and Flatpak, with the same global hotkey (Ctrl+Alt+R) and the same feature set as the macOS and Windows builds.
Q: I dictate prompts into Claude Code and Cursor. Which one handles snake_case, kebab-case, and CLI flags?
A: AICHE, with the Software Development profile turned on (Pro tier). It is tuned for code identifiers, library names, and CLI syntax. Jamie is not built for this use case at all.
Q: I run a five-person engineering team. We want one voice product for all of us.
A: AICHE Pro at $99.99/yr per seat ($8.33/mo equivalent) covers the team plan with admin and unified billing, no minimum seat count beyond one. Jamie Team is €33/seat/mo (~€390/seat/yr) with a 2-seat minimum, and Enterprise (SSO, EU residency) requires 10+ seats. For a five-person team, AICHE is roughly a fifth of the per-seat cost.
Q: My company requires EU data residency and ISO 27001 certification. What do I do?
A: Jamie has the more direct answer here. EU residency in Ireland is the default, not an Enterprise upsell, and they hold ISO 27001 certification. If procurement asks for those exact things, Jamie clears the bar faster than AICHE on paper.
Q: I want to call voice transcription from a script. Can either of these do that?
A: AICHE Pro exposes a REST API for programmatic dictation. Jamie does not advertise a public REST API; integrations are CRM-shaped and the Enterprise tier handles custom needs through sales. If you are a developer wanting to script against transcription, AICHE is the only side with that surface.
Q: Do either of them work as a global voice keyboard inside an app?
A: AICHE, yes. Press ⌃+⌥+R (Mac) or Ctrl+Alt+R (Windows/Linux), speak, press again, the cleaned text inserts at your cursor in whatever app has focus. Jamie does not do this. Jamie's model is "record a meeting, get a summary later," not "type into the active app right now."
Result: Jamie is a meeting note taker built around a real strength (no bot in the participant list) at a price that matches that scope. AICHE is a voice typing layer across 9 platforms, from $3.99/mo billed annually, with API access on Pro. If you spend most of your day typing into apps, AICHE replaces that typing. If you spend most of your day on Zoom and Teams and want the meeting written up afterward, Jamie does that one job well. The honest answer for many buyers is "both, for different jobs."
Try it now: download AICHE and run the 7-day Pro trial, no credit card required. Hit the hotkey, speak a prompt you would normally have typed, watch the cleaned text land at your cursor. You will know inside ten minutes whether voice typing fits your workflow.