ML Trainer vs Upper
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
ML Trainer
Easily create training data for machine learning image classification models. Capture thousands of images with adjustable settings for speed and accuracy, then export them for use with popular development tools.
- Capture images for ML training data
- Adjustable scan speed and frame count
- Low light enhancement with flashlight
- Export images to Photos app
- Compatibility with CreateML, TensorFlow, Azure ML
- Accuracy aids like crosshairs and guides
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Creating original training data for Image Classification machine learning models just got a little easier! ML Trainer allows developers to quickly capture and export thousands of images to the Photos app, allowing every image to be imported with iCloud or the built in Image Capture app on Mac. Press the Scan button to capture a preset amount of images as you move closer to or pivot around your subject, or Tap the Camera button to capture a single picture. Toggle the Flashlight to improve results in low light conditions, and tap the Save button to export any captured images to the Photos app. While each image is always captured at a speed of 3 Frames Per Second, you can adjust the Frame Count of each Scan in the Settings Menu. A larger Frame Count will save you time, while a lower Frame Count will help improve accuracy across different angles. Enabling Crosshairs and Guides in the Settings Menu can also help improve accuracy. This app was specifically designed to speed up the process of importing data into the Xcode Developer Tool named CreateML. Exported images should also be compatible with other platforms like TensorFlow and Azure Machine Learning. A wired connection to a macOS device with the Image Capture app open will always be the fastest way to import your data to desktop.
Upper
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Take Control of S3 Storage – Right from Shortcuts Whether you're a cloud expert or just exploring S3-compatible storage, Upper makes it effortless to: • Create, list, and delete buckets • Check if buckets/files exist • Upload, download, list, and delete files • Change ACL for buckets and files Why You’ll Love Upper • Compatible with AWS S3, Cloudflare R2, Scaleway, MinIO (with TLS), Hetzner, and other S3-compatible providers • Fully integrated with the Apple Shortcuts app • One-time purchase – no subscriptions, no in-app purchases • Privacy-friendly – only opt-out, anonymized telemetry to improve the app • Clean, minimal UI that stays out of your way Getting Started is Easy 1. Install Upper 2. Add and configure your S3 endpoints in Upper 3. Open the Shortcuts app → tap “Add Action” → search for “Upper” 4. Choose your desired S3 action, select an endpoint – done! Happy automating!
Screenshots
Verdict
The clearest difference is update cadence: Upper at every 2 months against ML Trainer's every 55 months. ML Trainer's advantage is price ($0.99 vs $2.99) and iOS requirement (14.0 vs 18.2). On ads, in-app purchases 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
ML Trainer costs $0.99 and Upper $2.99 up front. Neither carries in-app purchases, so what you see is what you pay.
ML Trainer ships an update every 55 months, Upper every 2 months. The most recent releases landed on September 21, 2026 and September 30, 2026 respectively.
| Parameter | ML Trainer | Upper |
|---|---|---|
| Price | $0.99 — better | $2.99 |
| Rating | 5.0 (2 ratings) — better | — |
| Number of ratings | 2 — better | — |
| Update frequency | Every 55 months | Every 2 months — better |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | Paid | — |
| Devices | iPhone, iPad, iPod — better | iPhone, iPad |
| Requires iOS | 14.0 — better | 18.2 |
| Further details — not scored | ||
| Size | 9 MB | 17 MB |
| Age rating | 4+ | 4+ |
| Developer | Casey Pollock | Paul Haedrich |
In-app purchases
ML Trainer
No in-app purchases
Upper
No in-app purchases









