Earlier this year, Apple introduced its Foundation Models framework during WWDC 2025, which allows developers to use the company’s local AI models to power features in their applications.
The company touted that with this framework, developers gain access to AI models without worrying about any inference cost. Plus, these local models have capabilities such as guided generation and tool calling built in.
As iOS 26 is rolling out to all users, developers have been updating their apps to include features powered by Apple’s local AI models. Apple’s models are small compared with leading models from OpenAI, Anthropic, Google, or Meta. That is why local-only features largely improve quality of life with these apps rather than introducing major changes to the app’s workflow.
Below are some of the first apps to tap into Apple’s AI framework.
Lil Artist
The Lil Artist app offers various interactive experiences to help kids learn different skills like creativity, math, and music. Developer Arima Jain and Aman Jain shipped an AI story creator with the iOS 26 update. This allows users to select a character and a theme, with the app generating a story using AI. The developer said that the text generation in the story is powered by the local model.
Daylish
The developer of the Daylish app is working on a prototype for automatically suggesting emojis for timeline events based on the title for the daily planner app.
MoneyCoach
Finance tracking app MoneyCoach has two neat features powered by local models. First, the app shows insights about your spending, such as whether you spent more than average on groceries for that particular week. The other feature automatically suggests categories and subcategories for a spending item for quick entries.
LookUp
The word learning app LookUp has added two new modes using Apple’s AI models. There is a new learning mode, which leverages a local model to create examples corresponding to a word. Plus, the example asks users to explain the usage of the word in a sentence.
The developer is also using on-device models to generate a map view of a word’s origin.
Tasks
Just like a few other apps, the Tasks app implemented a feature to suggest tags for an entry using local models automatically. It’s also using these models to detect a recurring task and schedule it accordingly. And the app lets users speak a few things and use the local model to break them down into various tasks without using the internet.
Day One
Automattic-owned journaling app Day One is using Apple’s models to get highlights and suggest titles for your entry. The team has also implemented a feature to generate prompts that nudge you to dive deeper and write more based on what you have already written.
Crouton
Recipe app Crouton is using Apple Intelligence to suggest tags for a recipe and assign names to timers. It also uses AI to break down a block of text into easy-to-follow steps for cooking.
Signeasy
Digital signing app Signeasy is using Apple’s local models to extract key insights from a contract and give users a summary of the document they are signing.
Dark Noise
Background sound app Dark Noise has used Apple’s local models to let users describe a soundscape in a few words and generate one based on that. You can adjust the levels of different elements of the soundscape once it is created.
Lights Out
Lights Out is the new app to track the F1 season and grand prix from Shihab Mehboob, developer of Twitter client Avery and Mastodon client Mammoth. The app uses on-device AI models to summarize commentary during a race.
Capture
Note-taking app Capture is using local AI to show category suggestions to users as they type in their notes or tasks.
Lumy
Sun and weather-tracking app Lumy now shows neat weather-related suggestions on the app using AI.
CardPointers
CardPointers is an app that helps you track your credit card expenses and gives suggestions on the best way to earn points from the cards you have. The app’s new version is using AI to let users ask questions about their cards and offers.
Guitar Wiz
Guitar Wiz is a guitar learning app using the Apple Foundation Model framework in a few ways. Users will see an explanation of a chord while learning it. The app is showing advanced players’ insights based on time intervals. Plus, the AI model is helping the developer support over 15 languages.
SmartGym app uses local AI to convert the description of a workout to a step-wise set with rep counts, intervals, and equipment. It also gives users workout summaries with monthly progress, routine breakdowns, and individual exercise performance.
Stoic
Journaling app Stoic is using Apple’s models to give personalized prompts to users based on their mood logging. The models can also help users summarize posts, search past entries, and organize them.
SwingVision
This app helps players of racquet sports such as tennis and pickleball improve their form based on the video recordings. The app makers are now using Foundational models to give actionable and specific feedback.
Zoho
India-based productivity suite company Zoho is using local models to power summarization, translation, and transcription across its apps like Notebook for documents and Tables for spreadsheets.
TrainFitness
The workout app is using on-device models to suggest an alternative for an exercise when you don’t have particular equipment available to you.
Stuff
The to-do app has a listen mode that uses Apple’s AI models to listen to the user and convert the voice to individual tasks.
We will continue updating this list as we discover more apps using Apple’s local models.
