Anonymizer vs Split Lab
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
Anonymizer
Automatically blur or hide faces in photos using facial recognition. Manually adjust blur regions, shapes, and effects. Safely share your anonymized images online.
- Automatic face detection and blurring
- Manual blur region adjustment
- Customizable blur effects and shapes
- Emoji overlay for hiding faces
- Direct sharing to photo library and other apps
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The fastest app to blur and hide faces automatically using facial recognition. Add, resize and manipulate manually with really simple to use tools. Safely publish anonymized pictures on the Internet. This app let's you: - Find faces automatically using face detection and add blur, a solid color or any emoji to hide them - Draw with your finger to add more regions to blur - Resize regions - Change shape, effect or color of regions - Share image to your photo library and other apps This app does not contain any ads or in app purchases.
Split Lab
Easily split large photos into multiple sections for printing or creating wall collages. Offers various template formats and customizable settings for precise image tiling on your mobile device.
- Split large photos
- Multiple template formats
- Customizable settings
- Save and share split images
- Dropbox integration
- Print-ready output
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Big photos are great, until you need to print them! Split Lab helps you to create multiple splits fitting to your target format. Make large printouts, plaster your walls - with Split Lab! Split Lab supports multiple template formats, split strategies and customizable settings. The resulting split images can be shared, saved, printed, stored in your Dropbox or any other option you have on your specific device to handle files. The power of Split Lab for iOS: Some years back, we introduced Split Lab to macOS as a powerful tool for professional image splitting and tiling. Now, with the release of Split Lab for iOS, we bring this power to your mobile device.
Screenshots
Verdict
The clearest difference is rating: Anonymizer at 4.4 against Split Lab's 1.8. Anonymizer also leads on review sentiment (57% vs 15%) and ratings volume (68 vs 9). Split Lab's advantage is price ($0.99 vs $1.99). On update cadence, ads, in-app purchases and monetization model 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
Anonymizer costs $1.99 and Split Lab $0.99 up front. Neither carries in-app purchases, so what you see is what you pay.
Anonymizer holds the better App Store score, 4.4 against 1.8. That said, the two scores are not equally well evidenced: Anonymizer has 68 ratings behind it against 9, so its average is the more settled of the two. Written reviews point the same way: 57% of Anonymizer's written reviews are positive against 15% of Split Lab's.
Both ship on a similar rhythm, roughly every 10 months. The most recent releases landed on October 1, 2026 and September 22, 2026 respectively.
| Parameter | Anonymizer | Split Lab |
|---|---|---|
| Price | $1.99 | $0.99 — better |
| Rating | 4.4 (68 ratings) — better | 1.8 (9 ratings) |
| Positive reviews | 57.1% of reviews — better | 15.4% of reviews |
| Number of ratings | 68 — better | 9 |
| Update frequency | Every 10 months | Every 10 months |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | Paid | Paid |
| Devices | iPhone, iPad, iPod — better | iPhone, iPad |
| Requires iOS | 11.0 — better | 17.0 |
| Further details — not scored | ||
| Size | 12 MB | 3 MB |
| Age rating | 4+ | 4+ |
| Developer | Digitalt Hjarta AB | Pengsquare UG (haftungsbeschraenkt) |
Customer experience
Anonymizer
Split Lab
In-app purchases
Anonymizer
No in-app purchases
Split Lab
No in-app purchases
Questions
Is Anonymizer free?
Is Split Lab free?
Which has better reviews, Anonymizer or Split Lab?
Do Anonymizer or Split Lab have ads?
Which is updated more often, Anonymizer or Split Lab?
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