# Vision Detector — Run your Vision CoreML model

> Run custom Core ML models on iOS devices without Xcode. (iPhone/iPad app by Kazufumi Suzuki.)

- Source: https://appshunter.io/ios/app/vision-detector/id6443729650 (this page in markdown: same URL + `.md`)
- Developer: [Kazufumi Suzuki](https://appshunter.io/developer/1512087197)
- Category: Developer Tools, Productivity
- Price: Free
- Age rating: 4+
- Requires: iOS 18.2 · 1 MB
- Languages: American English
- Released: 2022-10-09
- Data updated: 2026-08-24
- Monetization: free
- User reviews in markdown: https://appshunter.io/ios/app/vision-detector/id6443729650/reviews.md

## What is Vision Detector?

Vision Detector is an image analysis application that supports both CoreML machine learning models and Vision-enabled Large Language Models (Vision LLMs).
The current version provides two image analysis modes:
* CoreML Mode
* Vision LLM Mode
Each mode is designed for different purposes and excels in different types of image analysis. Choose the mode that best fits your use case.
In addition to executing CoreML models locally, Vision Detector Version 3 introduces support for image analysis using Vision LLMs through APIs.
Vision Detector is available for both iPhone/iPad and Mac.

## CoreML Mode
CoreML mode performs image analysis using Apple’s CoreML models.
Before using this mode, prepare a machine learning model in the CoreML format (.mlmodel) using tools such as Create ML.
Since all processing is performed on the device, image analysis is fast with very low latency and does not require a network connection.
Vision Detector executes CoreML models using Apple’s Vision framework. Depending on the model type, Vision returns results such as image classification, object detection, or image transformation.
Vision Detector supports the following types of CoreML models:
- Image classification
- Object detection
- Style transfer
Models without a Non-Maximum Suppression (NMS) layer and models that use MultiArray inputs or outputs are not supported.
Note: Vision Detector does not include any machine learning models. You must prepare your own CoreML models.

Copy your CoreML model to the iPhone or iPad file system.
The file system refers to locations accessible from the Files app, including local device storage and cloud storage services such as iCloud Drive, OneDrive, Google Drive, and Dropbox. You can also transfer models using AirDrop.
Launch Vision Detector and select your CoreML model to load it.
You can choose one of the following image input sources:
-     Live video from the built-in camera
-     Still image captured by the built-in camera
-    Photo Library
-     Files
For video inputs, continuous inference is performed on the camera feed. However, the frame rate and other parameters depend on the device.

## Vision LLM Mode
Vision LLM mode analyzes images using a Vision Language Model (Vision LLM).
A Vision LLM can understand both images and text, allowing you to ask questions about an image using natural language.
Vision Detector sends images to a Vision-enabled LLM through an API and displays the analysis results.
Features
You can ask questions about an image in natural language.
Examples:
* What is shown in this photo?
* What does the sign say?
* What is happening in this scene?
* Are there any potential hazards?
* Please describe this dish.

Vision Detector supports the following API providers:
* LM Studio
* OpenAI-compatible APIs
* Anthropic-compatible APIs

Notification Center
When Notification Center is enabled, Vision Detector can send notifications when specified conditions are met.
The notification conditions are defined in your prompt. For example:
Notify me via Notification Center whenever a person appears in the image.
Planned functionality will allow notifications to be delivered to all of your Apple devices signed in with the same Apple Account.

## Key features

- Run Core ML models on device
- Load models from cloud storage
- Live camera feed inference
- Image classification support
- Object detection support
- Style transfer support

## Recent user reviews (1 of 1)

All indexed reviews: https://appshunter.io/ios/app/vision-detector/id6443729650/reviews.md

### 4/5 — Sadly it only supports webcam or live input.

*2023-01-19*

I'm sure this is useful for many people and it is free (thank you dev), but for me it wasn't.

I wish we could use mp4 videos or even images to test our CoreML models quickly instead of being limited to webcam and live video inputs.

Anyway, it didn't seem right to rate it below 4-star as it is a free app.

## Frequently asked questions about Vision Detector

### What is Vision Detector?

Vision Detector is a free application that allows you to run Core ML models directly on your iPhone or iPad. It provides a simple interface for testing and evaluating machine learning models without needing to build a separate app in Xcode.

### How do I load a model into Vision Detector?

You can load your Core ML model by copying it to your device using the Files app. Supported locations include iCloud Drive, OneDrive, Google Drive, Dropbox, or directly via AirDrop. Once the model is on your device, you can select it within Vision Detector.

### What types of Core ML models does Vision Detector support?

Vision Detector supports image classification, object detection, and style transfer models. Models that require MultiArray inputs or outputs, or lack a non-maximum suppression layer, are not supported.

### Can I use Vision Detector with live video?

Yes, Vision Detector supports live video input from the built-in camera. Inference runs continuously on the camera feed, with performance dependent on your device's capabilities.

### Does Vision Detector come with pre-trained models?

No, Vision Detector does not include any pre-trained machine learning models. You must provide your own Core ML model in the correct format to use the application.

### What devices is Vision Detector compatible with?

Vision Detector is compatible with Mac, iPhone, and iPad devices. It is designed to run on-device inference across Apple's ecosystem.

### Is Vision Detector free to use?

Yes, Vision Detector is completely free to download and use. There are no in-app purchases or advertisements associated with the application.

### How often is Vision Detector updated?

The latest version of Vision Detector is 2.2, last updated on February 2, 2026. While specific update frequency isn't detailed, this indicates ongoing development and support for the application.

## Version history (last 5 releases)

### 3.2.2 — 2026-08-20

• Analysis results in live mode are no longer cleared before you can read them.
• Fixed the camera interface appearing broken when shooting in landscape.

### 3.2.1 — 2026-08-15

Improved compatibility with various host and language model.

### 3.2 — 2026-08-05

Added compatibility in CoreML mode with end-to-end (NMS-free MultiArray output) models including YOLOv10 and YOLO26.
Notification Center is available for object detection such as YOLO in Core ML mode.

### 3.1.3 — 2026-08-02

Added High Precision Mode for each AI provider.
Fixed error messages and fallback handling to reflect the real cause of failures.
Added a minimum interval between notifications.
Improved screen state handling after using live video.

### 3.1.2 — 2026-07-29

Fixed bugs in the settings screen (model file selection, .mlpackage support).
Fixed bug in Notification tool.
Improved UI elements.

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All apps by Kazufumi Suzuki: https://appshunter.io/developer/1512087197

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*Data collected daily from the US App Store and indexed by [AppsHunter](https://appshunter.io/). User reviews are verbatim App Store reviews. Ratings, prices and chart positions refresh continuously; this snapshot is from 2026-08-24.*