Memoria vs NoMac: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Memoria and NoMac — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Memoria

Anas

Freemium

On-device photo and video search that indexes the text, speech, objects and faces in your library — no cloud, no account.

On-Device OCR: Reads the text inside photos, screenshots, documents, whiteboards and video frames in seven languages, making every written word searchable.
Local Whisper Transcription: Runs Whisper directly on the device to transcribe the speech in your videos across 99+ languages, so lectures, meetings and voice notes become searchable text.
Face Detection and Clustering: Detects faces and groups them locally so you can pull up every photo of one person in a single tap, without any cloud face database.
Object Recognition: Identifies objects in your library so queries like "red bicycle" return matching shots even when nothing was ever tagged.
Unified Full-Text Index: Combines text, speech, objects and people into one instant search index that lives entirely on the phone.
Background Indexing: Keeps indexing while the app is closed and prioritises work while the device is charging, so a large library finishes without you babysitting it.
Zero-Account Privacy Model: No sign-up, no upload and no tracking — analytics are anonymous and opt-out, and the app is GDPR-safe by having nothing to collect.
One-Time Purchase Unlock: Memoria Plus removes the 250-media indexing cap forever with a single payment processed by Apple or Google, including future on-device models.

Finding a Document You Photographed: Recovering an invoice, bill or receipt you snapped months ago by searching the words printed on it rather than scrolling the camera roll.
Searching Recorded Lectures and Meetings: Locating the moment a specific term was spoken inside a long video by searching the on-device transcript.
Pulling Every Photo of a Person: Assembling all shots of one friend or family member from a clustered face group for a birthday album or share.
Recovering Saved Screenshots and Memes: Tracking down a screenshot or meme by the text written on it instead of guessing when you saved it.
Working Offline or While Travelling: Searching a full media library on a plane or with no signal, since indexing and search never require a network.
Keeping Sensitive Media Off the Cloud: Making a library of personal, medical or client photos searchable without uploading any of it to a third-party service.

Paid

Cloud-based iOS build, TestFlight, and App Store submission pipeline that AI agents can drive through a CLI or MCP — no Mac required.

Cloud-Mac Signed Builds: Produces signed iOS release builds on remote Macs so developers never need Xcode or local certificates.
TestFlight Preview in Minutes: Uploads and distributes builds to TestFlight, delivering the app to your iPhone in about three minutes.
Automated App Store Submission: Handles metadata, screenshots, review-readiness checks, and the actual App Store submission call.
MCP Server for Agents: Ships a Model Context Protocol server that any MCP-speaking agent (Claude Code, Codex, Cursor) can drive end-to-end.
CLI and HTTP API: Offers npx @nomac/cli plus a public API for agents or scripts that prefer not to use MCP.
Certificate and Signing Autopilot: Manages provisioning profiles, signing identities, and API-key rotation without exposing your Apple ID password.
Crash and Feedback Loopback: Crashes and tester feedback flow back to the calling agent so it can iterate without a human copy-paste step.
Setup Wizard: Walks through the one-time Apple gates (Developer account, App Store Connect API key, App Privacy form) and verifies each step live.

Solo Indie Development: Ship iOS apps from a Windows or Linux machine without buying a Mac.
Agent-Driven Releases: Let a Claude Code or Codex agent handle the whole build-test-submit loop while the developer supervises.
Continuous Delivery: Push every merge to TestFlight automatically for internal QA and beta feedback.
AI-Generated Apps: Use it as the deployment leg for AI-built mobile apps that need to land on the App Store.
Cross-Platform Teams: Give backend or web engineers a hands-free path to publish an iOS build without Xcode expertise.
Rapid Prototyping: Iterate on iOS prototypes and ship them to real devices in minutes rather than hours.