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Noema Review (2026): Multi-Format Local AI for iPhone, iPad, and Mac

·9 min read·By Hans Kuepper · Founder of PromptQuorum, multi-model AI dispatch tool · PromptQuorum

Noema is a free iOS, iPadOS, macOS, and visionOS app, made by independent developer Alexandru Stamate (NoemaAI LLC), that runs open-source language models entirely on-device in five different formats: GGUF, MLX, ExecuTorch, Core ML, and Apple's own Foundation Models. It costs nothing on the Apple App Store, with no subscription or in-app purchases, and adds on-device document chat for PDFs and EPUBs. As of this review it held a 4.5-out-of-5 rating from only 26 ratings — a small enough sample that it should not be read as equivalent to an app with thousands of reviews. Readers who want a longer-established track record should also compare it with Private LLM or Enclave AI.

Noema, listed on the App Store as "Noema: Local AI & Offline LLM" (developer account: Alexandru Stamate; company: NoemaAI LLC), is a free app for iPhone, iPad, Mac (Apple Silicon), and Apple Vision Pro that runs open-source language models entirely on-device. It is free to download from the Apple App Store, with no subscription and no in-app purchases. As of this review, the current version was 3.9, rated 4.5 out of 5 from only 26 ratings — check the live App Store listing for the current figures, since this app ships updates on a near-daily cadence. What sets Noema apart from many single-format mobile local-AI apps is that it loads models in five different ways — GGUF, MLX, ExecuTorch, Core ML, and Apple's own on-device Foundation Models — instead of locking a user into one runtime. It also supports document chat: importing PDFs and EPUBs and asking grounded questions against indexed passages, a retrieval-style workflow that runs entirely on-device rather than through a cloud RAG pipeline.

Noema Review (2026): Multi-Format Local AI for iPhone, iPad, and Mac

Key Takeaways

  • Price: free on the Apple App Store; no subscription and no in-app purchases listed as of this review.
  • Platforms: iPhone, iPad, Mac (Apple Silicon), and Apple Vision Pro — no official Android, Windows, or Linux app.
  • Developer: Alexandru Stamate / NoemaAI LLC.
  • Model formats: GGUF, MLX, ExecuTorch, Core ML, and Apple's on-device Foundation Models — five formats in one app.
  • Document chat: import PDFs and EPUBs; the app indexes passages for on-device, grounded question answering.
  • Privacy: the developer states the app collects no data; no account is required to use it.
  • Rating: 4.5 out of 5 from only 26 ratings as of this review — a small sample, not a long track record.
  • Version 3.9 at time of writing, with an update logged within hours of this review — confirm the current version on the App Store before relying on a specific feature.

📍 In One Sentence

Noema is a free iPhone, iPad, Mac, and Vision Pro app by independent developer Alexandru Stamate (NoemaAI LLC) that runs local AI models in five formats — GGUF, MLX, ExecuTorch, Core ML, and Apple Foundation Models — and adds on-device document chat for PDFs and EPUBs.

💬 In Plain Terms

Most local-AI phone apps only run one type of model file. Noema can load several different types, plus Apple's own built-in AI model, so you are not stuck if your preferred model only ships in one format — and it can also read a PDF or EPUB you give it and answer questions grounded in that document, all without an internet connection.

What Noema Is

Noema is a native Apple app that downloads and runs open-source language models directly on an iPhone, iPad, Mac, or Vision Pro headset, with no server-side component required for local chat. Once a model is downloaded, the app can generate a response without an internet connection.

It is built by Alexandru Stamate, whose company NoemaAI LLC owns and operates both the app and the noemaai.com site, per the site's own ownership page. The app is listed on the App Store under App Store ID 6751169935. This review evaluates the developer's own claims — "0 cloud required for local chat," no account requirement, no data collection — against the App Store privacy label and the app's public description, rather than taking the marketing copy at face value.

The app updates unusually often: the version checked for this review, 3.9, had shipped within hours of this review being written, and the "what's new" notes for that release described fixes to MLX model stability, document indexing, vision models, and Core ML compatibility — evidence of active, ongoing maintenance rather than a stalled or abandoned project.

How to Get Started

Getting Noema running takes a few minutes and no account creation.

  1. 1
    Download the app
    Why it matters: Get [Noema from the Apple App Store](https://apps.apple.com/us/app/noema-local-ai-offline-llm/id6751169935) for free. There is no trial tier to worry about and no subscription to cancel later — the full app is free from the first launch.
  2. 2
    Pick a model format and source
    Why it matters: Browse and download a GGUF model from Hugging Face directly inside the app, or use an MLX, ExecuTorch, or Core ML model, or fall back to Apple's built-in on-device Foundation Model if you would rather not download anything at all.
  3. 3
    Import a document for document chat
    Why it matters: Add a PDF or EPUB from the Files app or iCloud Drive. Noema indexes the document's passages on-device so you can ask grounded questions about its content instead of only chatting from the model's general knowledge.
  4. 4
    Chat, summarize, or generate flashcards
    Why it matters: Once a model and, optionally, a document are loaded, use the app entirely offline for chat, document summaries, notes, or flashcard generation.
  5. 5
    Optional: enable web search or a remote provider
    Why it matters: By default Noema runs local-only. The developer's own site describes an "Off-grid Mode" that blocks external HTTP and HTTPS traffic; web search or a remote model provider is an explicit, separate opt-in rather than the default behavior.

Supported Model Formats

Noema's stated differentiator is loading models in five different formats rather than one. Most mobile local-AI apps commit to a single runtime — llama.cpp and GGUF is the most common choice across this cluster of reviews. Noema instead supports GGUF, MLX, ExecuTorch, Core ML, and Apple's own on-device Foundation Models side by side, per the app's own App Store description and noemaai.com.

GGUF

What it is:
The llama.cpp quantized model format used by most open-source local-AI apps and the majority of community-quantized models on Hugging Face.
Why it matters here:
Gives access to the largest pool of ready-to-use community model files without waiting for a format-specific conversion.

MLX

What it is:
Apple's own machine-learning array framework, built to use Apple Silicon's unified memory and Metal GPU acceleration directly.
Why it matters here:
Can run noticeably faster on Apple Silicon than a generic CPU-bound format, at the cost of only working well on Apple hardware.

ExecuTorch

What it is:
PyTorch's on-device inference runtime, designed for exporting PyTorch models to run efficiently on mobile and edge hardware.
Why it matters here:
Broadens the pool of models Noema can load beyond the GGUF/MLX ecosystem to models exported directly from PyTorch.

Core ML

What it is:
Apple's native machine-learning model format, optimized to run across the CPU, GPU, and Neural Engine on Apple devices.
Why it matters here:
Lets the app load models specifically optimized for Apple's Neural Engine rather than only general-purpose formats.

Apple Foundation Models

What it is:
Apple's own built-in, on-device large language model, available system-wide starting with iOS 18 on supported hardware.
Why it matters here:
Lets a user try document chat or general chat immediately with zero model download, using the model already on the device.

Format support and the exact model list can change between App Store updates. Confirm current format compatibility and hardware requirements for a specific model inside the app before relying on it.

Document Chat: PDF and EPUB Q&A

Noema imports PDFs and EPUBs, including textbooks, and indexes their passages on-device so a loaded model can answer questions grounded in that specific document. The developer's own site describes this as reading a document "more thoroughly" and grounding answers "in your own datasets with retrieval that stays on device" — a retrieval-style workflow similar in spirit to server-side retrieval-augmented generation (RAG), but running locally rather than against a cloud vector database.

Beyond question answering, the app can generate summaries, notes, and flashcards from an imported document, and supports vision-capable models for documents or images that include diagrams or scanned pages.

This review has not independently benchmarked the retrieval accuracy of Noema's document indexing against dedicated desktop RAG tools — the description above reflects the developer's own stated feature set, not an independent accuracy test.

Platforms and Requirements

iPhone / iPad

What to expect:
Requires iOS or iPadOS 18 or later, per the App Store listing. Runs the full model-format lineup and document chat.
Important note:
Larger models and larger imported documents need more free storage and RAM; smaller quantized models are the safer starting point on older devices.

Mac

What to expect:
Native app for Apple Silicon Macs (M1 or later), per the App Store listing.
Important note:
Apple Silicon's unified memory generally allows larger models than an equivalent iPhone or iPad.

Apple Vision Pro

What to expect:
Listed as a supported device on the App Store.
Important note:
This review did not independently test the Vision Pro experience; treat it as App Store-listed compatibility rather than a hands-on verified feature.

Android, Windows, Linux

What to expect:
No official app on Google Play, the Microsoft Store, or any Linux package repository, per the developer's own site.
Important note:
Readers on these platforms should look at PocketPal AI (Android/iOS) or another cross-platform option instead.

App size was approximately 368 MB at time of review, with the interface available in English plus ten additional languages (Arabic, French, German, Hindi, Japanese, Korean, Romanian, Simplified Chinese, Spanish, Turkish), per the App Store listing. The App Store lists a 13+ age rating.

Privacy: What Noema Does and Does Not Collect

Noema's App Store privacy label states the developer does not collect any data from the app, and the app requires no account, login, or sign-up to use.

The developer's own site describes an "Off-grid Mode" that blocks external HTTP and HTTPS traffic, and states that local chat requires zero cloud connectivity. Optional features — web search and connecting to a remote model provider — are described as explicit opt-ins, not defaults.

  • No account required. Download and use the app without creating a profile or signing in.
  • No data collection, per the App Store label. Apple's privacy nutrition label for this listing shows no data collected from the app.
  • Off-grid Mode. The developer's own site describes a mode that blocks external HTTP and HTTPS traffic for readers who want a hard guarantee against any outbound network call.
  • Optional network features are opt-in. Web search and remote-provider connections are described as features the user must explicitly enable, not the default state.
  • Local API and Noema Relay. The developer's site describes a private local-network API for connecting other apps to models running in Noema, and a "Noema Relay" feature for cross-device model access — this review treats these as developer-described features rather than independently verified network-security audits.

Trade-Offs: Benefits vs. Limitations

Free, no subscription

What it means in real use:
Every feature, including document chat, is available at no cost from the first launch.
Limitation / caveat:
A free, one-developer app has less institutional backing than a paid app from a larger, longer-established team.

Five supported model formats

What it means in real use:
GGUF, MLX, ExecuTorch, Core ML, and Apple Foundation Models cover a wider slice of the model ecosystem than a single-format competitor.
Limitation / caveat:
More formats can mean more edge cases; the app's own July-to-September release notes describe ongoing fixes to MLX and Core ML compatibility.

On-device document chat

What it means in real use:
Import a PDF or EPUB and ask grounded questions, generate summaries, or build flashcards, without uploading the document anywhere.
Limitation / caveat:
Retrieval accuracy on long or complex documents has not been independently benchmarked by PromptQuorum against dedicated desktop RAG tools.

No account, no data collection

What it means in real use:
Use the app immediately with nothing to sign up for; the App Store privacy label shows no data collected.
Limitation / caveat:
This review did not independently source-audit the app's code; it relies on the App Store privacy label and the developer's own claims.

Very active update cadence

What it means in real use:
Frequent releases suggest an actively maintained app rather than an abandoned one.
Limitation / caveat:
A high release frequency also means specific version numbers, feature details, and bug states in this review can go stale faster than for a slower-moving app — verify current behavior in the app.

Rated 4.5 out of 5

What it means in real use:
The average rating is strong.
Limitation / caveat:
That average is based on only 26 ratings at time of review — a small sample that should not be treated as equivalent to an app with a large, established rating base.

Noema vs. Alternatives

Noema

Platforms:
iPhone/iPad/Mac/Vision Pro (Apple only)
Price:
Free
Model flexibility:
Five formats: GGUF, MLX, ExecuTorch, Core ML, Apple Foundation Models
Key difference:
Multi-format loading plus on-device document chat; small rating sample so far
Articles about Noema (2)

Also mentioned in:

Private LLM

Platforms:
iPhone/iPad/Mac (Apple only)
Price:
$4.99 one-time purchase
Model flexibility:
140+ curated models; OmniQuant/GPTQ quantization
Key difference:
Paid, closed-source, curated library with three years of public release history

PocketPal AI

Platforms:
iPhone/iPad, with some Android support
Price:
Free, open source
Model flexibility:
Any GGUF file the user sources from Hugging Face or elsewhere
Key difference:
Free and open-source; GGUF only, no built-in document chat

Enclave AI

Platforms:
See current listing
Price:
See current listing
Model flexibility:
See full review for current model support
Key difference:
See the full Enclave AI review for a detailed comparison

Locally AI

Platforms:
iPhone/iPad/Mac
Price:
Free
Model flexibility:
Built on Apple MLX only; access to Apple's on-device foundation model
Key difference:
Free MLX-only alternative, versus Noema's five-format support

Platform, price, and feature details for third-party apps change frequently — verify current specifics on each app's own listing before deciding.

Who Should Use Noema

  • Apple users who want format flexibility. Readers who already have model files in different formats — or who want to try GGUF, MLX, ExecuTorch, and Core ML models without switching apps — get all four plus Apple's built-in Foundation Model in one place.
  • Readers who want on-device document Q&A. Importing a PDF or EPUB and asking grounded questions locally is a distinct feature not every mobile local-AI app offers.
  • Budget-conscious users. The app is free with no subscription, which matters for readers who want to try local AI without committing money up front.
  • Early adopters comfortable with a young rating history. Readers who do not mind that the 4.5-star average rests on only 26 ratings, and who value an actively, frequently updated app over one with a longer public track record.

Who Should Not Use Noema

  • Android, Windows, or Linux users. Noema has no official app on any of these platforms — choose PocketPal AI (partial Android support) or another cross-platform option instead.
  • Readers who want a long, established rating history before trusting an app. With only 26 ratings as of this review, readers who prioritize social proof should also weigh Private LLM, which has a multi-year public release history.
  • Readers who want the largest possible curated model library. Noema's format flexibility is broad, but it does not ship a 140+ model curated library the way Private LLM does.
  • Teams wanting a centrally managed deployment. Noema is a single-user, single-device consumer app with no admin console or team billing — organizations should look at self-hosted, server-side local-LLM infrastructure instead.
  • Readers who need independent, third-party benchmarks of document-retrieval accuracy. This review relies on the developer's own description of the document-chat feature, not an independent accuracy benchmark against dedicated RAG tools.

Frequently Asked Questions

How much does Noema cost?

Noema is free on the Apple App Store, verified for this review on 2026-09-12. There is no subscription and no in-app purchases listed on the current App Store listing. App Store availability can change over time — confirm the current price before downloading.

What model formats does Noema support?

Noema loads models in five formats: GGUF, MLX, ExecuTorch, Core ML, and Apple's own on-device Foundation Models, per the app's App Store description and noemaai.com. This multi-format support is broader than most single-format competing apps, which typically commit to only GGUF or only MLX.

Is Noema available on Android or Windows?

No official version exists on Google Play, the Microsoft Store, or any Linux package repository. Noema is built specifically for iPhone, iPad, Mac, and Apple Vision Pro.

Who develops Noema?

Noema is developed by Alexandru Stamate; the noemaai.com site and app are owned and operated by NoemaAI LLC, per the site's own ownership page.

What is document chat in Noema?

Document chat lets you import a PDF or EPUB, including textbooks, and ask questions grounded in that specific document. Noema indexes the document's passages on-device, a retrieval-style workflow similar in spirit to server-side RAG but running locally. The app can also generate summaries, notes, and flashcards from an imported document.

Does Noema work completely offline?

Yes, for local chat and document chat once a model and any document are loaded. The developer's own site describes an "Off-grid Mode" that blocks external HTTP and HTTPS traffic; optional features like web search or a remote model provider are separate, explicit opt-ins rather than the default.

Does Noema collect any personal data?

Apple's App Store privacy nutrition label for this listing states the developer does not collect any data from the app, and no account or sign-in is required. This review relies on the App Store's privacy label and the developer's own claims, not an independent source-code audit.

How reliable is Noema's 4.5-star rating?

The 4.5-out-of-5 average is based on only 26 ratings as of this review — a small sample compared to apps with hundreds or thousands of reviews. Treat it as an early, positive signal rather than proof of a long, proven track record, and re-check the current rating count on the App Store before relying on it.

How does Noema compare to Private LLM?

Noema is free and supports five model formats (GGUF, MLX, ExecuTorch, Core ML, Apple Foundation Models) plus on-device document chat, but has only 26 ratings as of this review. Private LLM costs $4.99 one-time, ships a curated 140+ model library, and has a three-year public release history. Choose Noema for format flexibility and document chat at no cost; choose Private LLM for a longer-established, curated experience.

Verdict

Noema stands out in the mobile local-AI cluster for one specific, verifiable reason: it loads models in five different formats — GGUF, MLX, ExecuTorch, Core ML, and Apple's own Foundation Models — where most competing apps commit to just one or two. It pairs that with on-device document chat for PDFs and EPUBs, all for free with no subscription. Its very frequent update cadence, evidenced by a version that shipped within hours of this review, points to active maintenance rather than an abandoned side project. The honest caveat is its youth as a rated product: a 4.5-star average sitting on only 26 ratings is a positive early signal, not the kind of large-sample track record that Private LLM or PocketPal AI can show after years on the App Store. Readers who want format flexibility and document chat at zero cost should try it; readers who weight social proof and a longer public history more heavily should start with Private LLM or PocketPal AI instead, and revisit Noema once its rating count grows.

Sources

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