ML Image Identifier Lite vs Remove Object
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
ML Image Identifier Lite
This educational app uses machine learning to identify various images in real-time through your device's camera. It can recognize objects, cars, food, text, and faces, displaying top predictions with confidence levels.
- Real-time image identification
- Recognizes objects, cars, food, text, and faces
- Displays top 5 predicted matches with confidence levels
- Works on iOS 12 and later
- OCR for text recognition on iOS 13+
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FEATURES: ML Image Identifier is an educational app that allows your iOS device to identify images in real-time, as you move the camera around your environment. It can scan for 3 categories of images ("Objects", "Cars", and "Food") and recognize "Text" (character boxes, OCR) and "Faces" (feature landmarks). The app automatically throttles the image processing to work on any device running iOS 12, though it may be sluggish on older devices. Devices running iOS 13 additionally have optical character-recognition (OCR) in "Text" mode. For the categorized images, the app displays the top-5 predicted matches, based on the neural networks' confidence levels as percentages. BACKGROUND: Once merely a subject of science-fiction, machine learning has permeated our lives in recent decades. We see it in numerous uses, such as handwriting recognition, facial recognition, image tagging, AI in games, targeted advertisements, predictive typing, and many automated tasks. Social networks are free because the data (i.e. text, images, survey responses, etc.) you provide can be valuable for numerous purposes. In short: Knowledge is power. With the release of iOS 11, Apple brought machine learning to the masses with CoreML, making it possible to run neural networks and other ML-related tools via hardware acceleration on any iOS device. This app is a demonstration of some possibilities - and some deficiencies - of machine learning. Modeling a neural network is only one part of the task. For a ML model to work, it must be fed massive amounts of test data (similarly to how it takes a living creature numerous stimuli to learn). Good test data can yield good results; poor test data can yield poor results. Sometimes, biases of those creating the tests can come into play, since they may unknowingly weigh certain test values over others. SPECIFICS: ML Image Identifier makes use of 3 ML models (all MIT- or Apache- licensed) and Apple's own Vision framework to serve as examples: "MobileNet" - This scans general objects. It works fairly well with household items. It cannot identify people. This ML model is an example of fairly high-quality results in image recognition and is much more compact than similar ML models that can be as large as 500MB. "CarRecognition" - This scans for makes and models of vehicles. It is very hit-or-miss and seems to heavily match automobiles from specific regions of the world. Most matches are the right body type but wrong make. This ML model is an example of mixed results in image recognition. "Food101" - This scans for prepared foods. It rarely works with general food items and seems to focus on foods that most people will not have in their houses, such as caviar and lobster. It also returns many false-positives for desserts. This ML model is an example of poor results in image recognition when used outside of very specific cases. The text-recognition mode looks for all potential text in view and highlights the words and individual characters in those words for easy viewing. It also supports OCR on iOS13. The facial-recognition mode looks for all potential human or human-like faces. Of those found, the app highlights the facial landmarks, such as eyes, nose, jawline, etc. This mode in particular works better on a newer device at a usable framerate, due to the hardware required for real-time image processing. If you enjoy this app, please consider ad-free version. If you enjoy the facial-recognition, consider HullBreach Studios' game "Exprestive", which is also available in the App Store.
Remove Object
Effortlessly enhance your photos with AI-powered tools. Remove unwanted objects, replace backgrounds, and restore old images with ease. Transform your pictures with professional-quality edits in a user-friendly interface.
- Remove unwanted objects
- Replace backgrounds
- Edit skies
- Expand image frames
- Upscale images
- Restore and colorize old photos
- Apply blur effects
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PixPerfect: Object Remover is an all in one photo editing app that makes it simple to transform your images using powerful AI tools. Whether you want to clean up a photo, enhance quality, or completely change the scene, this app gives you fast and precise results with an easy to use experience. Remove unwanted objects from your photos in seconds. Just highlight what you want gone and let AI seamlessly erase it while preserving the background. Replace objects with new elements to create entirely new visuals or fix imperfections in your shots. Apply blur effects to focus attention where it matters most. Easily soften backgrounds or add depth to your images with smooth, natural looking results. Change or remove backgrounds with a single tap. Replace your background with something new to match your style, whether it is a clean studio look or a vibrant outdoor scene. Edit the sky in your photos to create the perfect atmosphere. Replace dull or overexposed skies with bright blue skies, sunsets, or dramatic clouds. Expand your images beyond their original frame using AI. Add more space around your subject while maintaining realistic detail and composition. Upscale images to improve clarity and sharpness. Enhance low resolution photos and bring out finer details without losing quality. Restore and colorize old photos to bring memories back to life. Turn black and white images into vivid color while preserving their original character. PixPerfect: Object Remover is designed for creators, casual users, and anyone who wants professional quality edits without complicated tools. Terms of Use EULA https://www.apple.com/legal/internet-services/itunes/dev/stdeula/
Screenshots
Verdict
The clearest difference is rating: Remove Object at 4.6 against ML Image Identifier Lite's 3.0. Remove Object also leads on update cadence (every 2 weeks vs every 2 months). ML Image Identifier Lite's advantage is in-app purchases (none vs 4) and ads (none vs shown). On price, ratings volume and device support there is nothing between them.
Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS
Both are free to download. Remove Object sells 4 in-app purchases, starting at $7.99 per 7 days. ML Image Identifier Lite asks for nothing beyond the download.
Remove Object holds the better App Store score, 4.6 against 3.0. Both are backed by a comparable volume of ratings — 12 and 5 respectively.
ML Image Identifier Lite ships an update every 2 months, Remove Object every 2 weeks. The most recent releases landed on October 4, 2026 and October 6, 2026 respectively.
| Parameter | ML Image Identifier Lite | Remove Object |
|---|---|---|
| Price | Free | Free |
| Rating | 3.0 (12 ratings) | 4.6 (5 ratings) — better |
| Positive reviews | 25.0% of reviews | — |
| Number of ratings | 12 — better | 5 |
| Update frequency | Every 2 months | Every 2 weeks — better |
| Ads | No — better | Yes |
| In-app purchases | No — better | Yes |
| Monetization | Free — better | Free with in-app purchases |
| Devices | iPhone, iPad, iPod — better | iPhone, iPod |
| Requires iOS | 12.2 — better | 15.1 |
| Further details — not scored | ||
| Size | 127 MB | 84 MB |
| Age rating | 4+ | 4+ |
| Developer | HullBreach Studios Ltd. | Steve Noel |
Customer experience
ML Image Identifier Lite
Remove Object
In-app purchases
ML Image Identifier Lite
No in-app purchases
Remove Object
- Pro (Weekly)3 Days trial$7.997 Days
- Weekly7 Days trial$7.997 Days
- Pro (Annual)3 Days trial$39.991 Year
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- Annual7 Days trial$79.991 Year
Questions
Is ML Image Identifier Lite free?
Is Remove Object free?
Which has better reviews, ML Image Identifier Lite or Remove Object?
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