OnDevice Classifier icon
Beta

OnDevice Classifier

Choose a model. Print a decision.

Classify text and images with downloaded models, choose your categories, and keep a printed record of the result. Julia-1 and Laya handle text decisions; FastViT handles images. Optional API connections add remote text classification.

iOS 17 or later · iPhone and iPad
Platform
1.0
Version
Utilities
Category
Beta
Status
Request TestFlight access Privacy Policy Support

From input to ticket

Watch the result print.

A recording of the app classifying text and printing its result. The classification and scores come from the selected model.

Screenshots

See It in Action

A completed text classification printed as a result ticket in OnDevice Classifier
FIG. 01
An image classification result with the model’s recognized classes
FIG. 02
Julia-1, Laya and FastViT in the downloadable model library
FIG. 03
Saved classification results and their inputs in run history
FIG. 04
Optional OpenAI, Anthropic, Gemini and custom API connections
FIG. 05

Features

What It Does

Text decisions

Choose categories or use a model’s supported score and yes/no tasks. The workspace follows the selected model’s capabilities.

Image classification

Select an image and run a local model with its built-in classes. Image inference runs on your device.

A model library you control

Download public Julia-1, Laya and FastViT variants, inspect their formats and requirements, and pause or resume downloads.

A result worth keeping

The result prints into a ticket with its label, model, timing and supported scores. Revisit and export your history.

Optional cloud text

Connect your own OpenAI, Anthropic, Gemini or OpenAI-compatible endpoint. Apple Private Cloud Compute is available on supported devices and OS versions.

FAQ

Common Questions

Does it work offline?

Compatible downloaded models run offline after their files are installed. Downloads, API connections and Apple Private Cloud Compute require a network connection.

Is it available on the App Store?

Version 1.0 is in TestFlight. You can request beta access using the link above. App Store release has not been announced.

Are model scores a guarantee?

No. Scores describe the selected model’s output. Model quality and supported tasks vary; review results in the context of your input.

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