Comparison

ML Trainer vs Photo Compression

Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.

Head to head
About

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.

Highlights
  • 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
Features
Read full description

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.

About

Photo Compression

Easily resize and compress your photos to save space on your device. This tool offers user-friendly design and multiple compression options, allowing you to download resized images and crop pictures.

Highlights
  • Resize and compress photos
  • Multiple compression sizes (small, large, medium)
  • Crop pictures
  • User-friendly design
  • Save space on iPhone/iPad
  • Download resized images
Features
Read full description

Photo Compressor is one of the best iOS applications you should have on your iPhone. The free-to-use tool helps you resize or shrink pictures and photos from your album or gallery. It can facilitate users to compress images into smaller, large, and medium sizes. What are the features:- - Design is much more compatible with user interaction and user-friendly. - Our design is with the best possible practices which are friendly and easy to use - free plenty of space on your iPhone or iPad devices. - Download the image after resizing the image - Crop your picture's This is one of the best image resizer on the App Store. you can enjoy the amazing features of this user-friendly application. Terms of Use (EULA) https://sites.google.com/view/photo-compressor-terms-of-use/landing-page Privacy Policy https://sites.google.com/view/photo-compressor-policy/landing-page

Screenshots

ML Trainer4 screens
Photo Compression4 screens

Verdict

The call

The clearest difference is price: Photo Compression at Free against ML Trainer's $0.99. Photo Compression also leads on update cadence (fortnightly vs every 55 months) and ratings volume (6 vs 2). ML Trainer's advantage is rating (5.0 vs 4.3) and in-app purchases (none vs 2). On ads, device support and iOS requirement 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

CostPrice · In-app purchases · Ads · Monetization

Photo Compression is free to download; ML Trainer costs $0.99 up front. Photo Compression sells 2 in-app purchases, starting at $2.99 per month. ML Trainer asks for nothing beyond the download.

ReceptionRating · Positive reviews · Number of ratings

ML Trainer holds the better App Store score, 5.0 against 4.3. Both are backed by a comparable volume of ratings — 2 and 6 respectively.

UpkeepUpdate frequency

ML Trainer ships an update every 55 months, Photo Compression fortnightly. Both last shipped on October 8, 2026.

Scorecard6 real differences · 3 level
ML Trainer versus Photo Compression: the parameters behind the verdict, then further details
ParameterML TrainerPhoto Compression
Price$0.99Free — better
Rating5.0 (2 ratings) — better4.3 (6 ratings)
Number of ratings26 — better
Update frequencyEvery 55 monthsFortnightly — better
AdsNoNo
In-app purchasesNo — betterYes
MonetizationPaidFree with in-app purchases — better
DevicesiPhone, iPad, iPodiPhone, iPad, iPod
Requires iOS14.014.0
Further details — not scored
Size9 MB53 MB
Age rating4++4
DeveloperCasey PollockAsad Jamal

Customer experience

ML Trainer

All ratings2 ratings
Positive100.0%
Neutral0.0%
Negative0.0%

Photo Compression

All ratings6 ratings
Positive83.3%
Neutral0.0%
Negative16.7%

In-app purchases

None

ML Trainer

No in-app purchases

2 purchases

Photo Compression

Subscriptions2
  • Monthly Subscription3 Days trial$2.991 Month
  • Compresso Annual7 Days trial$8.491 Year

Questions

Is ML Trainer free?
ML Trainer costs $0.99, with no in-app purchases.
Is Photo Compression free?
Photo Compression is free to download, with in-app purchases available.
Which has better reviews, ML Trainer or Photo Compression?
ML Trainer is rated higher. ML Trainer averages 5.0 out of 5 from 2 ratings, while Photo Compression averages 4.3 from 6 ratings.
Do ML Trainer or Photo Compression have ads?
Neither ML Trainer nor Photo Compression shows ads.
Which is updated more often, ML Trainer or Photo Compression?
ML Trainer ships an update every 55 months, and Photo Compression fortnightly. Most recently, ML Trainer was updated on October 8, 2026 and Photo Compression on October 8, 2026.

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