How developers are using Apple’s local AI models with iOS 26

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At the beginning of this year, Apple introduces The Foundation Model Framework During the WWLUDL 2025, the developers allows the company to use local AI models in power features in their applications.

The company mentions with the structure that developers gain access to the AI models without thinking about the cost of any estimate. Also, these local models have the guided generation and the built -in tooling of the equipment calling.

Since iOS 26 is rotating to all users, developers are updating their applications to include features powered by Apple’s local AI models. Apple’s models are small compared to the top models from Open, ethnographic, Google or Meta. This is why local-cable features improve the quality of life with these apps instead of introducing large changes in the work flow of the app.

Below are a few applications to tap Apple’s AI Framework.

Lil artist

The Lil artist Applications provide different interactive experiences to help children learn different skills like creativity, math and music. The developer Arima Jain sent an AI story maker with the update update IOS 26. It allows users to select a character and a theme, the application creates a story using AI. The developer said that the text of the story is powered by the local model.

Phone

Its developer Phone The app is working on a prototype to automatically advise emoji for timeline events based on the title of the Daily Planner App.

Manikach

The finance tracking app Manikach There are two neat features powered by local models. First, the application shows insight about your expenses, as if you have spent more than average in grocery for that particular week. Other features are automatically suggesting the category and sub -class category for the item spent on fast entries.

Find

Word -learning app Find Apple has added two new modes using AI models. There is a new learning mode, which earns the local model to create an example related to a word. Also, the example asks users to explain the use of words in a sentence.

Lukeup Word Word Learning App is a screenshot that shows a screen that shows examples for understanding a new word — **Figure Credit:**Find

The developer is also using on-division models to create a map view of the source of a syllable.

The source of a syllable shows a screenshot of the lookup app with the view of the map. — **Figure Credit:**Find

Work

Just like the other few apps, Work The app has automatically applied a feature to suggest tags for any entry using local models. It uses these models to detect a repeated task and to determine it accordingly. And the app allows users to talk to a few words and to break the local model without using the Internet.

This is a lifestyle shot of the task app that shows a screen with a new futeer that you use local models to offer tags when you enter a task. — **Figure Credit:**Work

First day

Automatic Owned Journaling App First day Using Apple’s models to get the highlights and advise the titles for your entry. The team has also applied a feature to dive more deeply and to write more based on the team that has already entered you.

A screenshot that shows the features of the Day One Journaling App, implemented using Apple's local model. These features include an abbreviation, title consultation and more deeper prompt generation of writing. — **Figure Credit:**First day

Crouton

Recipe app Crouton Apple is using the intelligence to offer tags for a recipe and to determine the names of the timers. It is easy to break a block of text using AI to break the easy follow -up steps for cooking.

Signature

Digital Signing App Signature Apple’s local models are using to summarize what insights from an agreement and to summarize the documents that users are signing.

We will continue to update this list as we discover more applications using Apple’s local models.