PixlFIT
PixlFIT Ltd Health & Fitness iPhoneiPadiPod touchApple Watch
PixlFIT is a free Health & Fitness app for iPhone and iPad by PixlFIT Ltd. Requires iOS 26.5. Updated October 18, 2026.
- Price
- Free
- on the App Store
- Size
- 17 MB
- Age 4+
- Updated
- Oct 18
- 2026 · v3.0.1
Screenshots
About PixlFIT
PixlFIT is a workout tracker that does the basics properly - log sets, build plans, see your progress - and one thing most trackers skip entirely: it knows a Hammer Strength chest press isn't a barbell bench, and a barbell bench isn't an incline machine. Most apps lump all of that under one exercise name. PixlFIT doesn't. Tag every exercise by brand, type and variation, and track a separate history for each one. Your numbers stay accurate, your PRs stay real, and your training data finally reflects what you actually did. THE TAGGING SYSTEM IS THE POINT Track separate weight history per machine brand, type and variation - not just per exercise name Smart defaults remember your last setup, so logging is fast even with full detail Build custom tag groups for whatever matters to you See PRs the moment you hit them, tracked against the right machine, not a generic average BUILT FOR HOW YOU ACTUALLY TRAIN Plans and routines you can build once, reuse, or share with a training partner in one tap History with proper filters - combine tags, exclude others, open any past workout for the full breakdown Repeat a past workout with a clean slate, ready for fresh numbers A keypad built for the gym: fast, accurate, no fumbling PixlFIT is for people who already track their training and want a system that matches the precision they put into it. https://www.apple.com/legal/internet-services/itunes/dev/stdeula/
What’s new
Version 3.0.1 · Updated October 18, 2026
Notes that get your progress right, and a profile that knows what you're training for. SESSION NOTES • More reps at the same weight now counts as progress. The note compares every set at your top weight, not just the first — so 60 kg for 12 and 12, after 12 and 10 last time, is "up from 12 and 10" rather than "three sessions at 60 kg" • A lift only reads as stalled when the weight and the reps on every set have stayed the same • Notes you already have are written again with the new comparison the next time you open each workout YOUR WEEK • Add a main goal to your profile and Your week's suggestions follow it. Choose Rehab and it stops suggesting changes to your lifts • A lift you haven't trained for three weeks no longer shows up as stalled — useful when a machine's out of action • Before your first Analyse, it shows you exactly what it sends PROFILE AND PRIVACY • Add your gender and main goal to your profile • Clearing something in your profile — year of birth, max heart rate, training days, your photo — now clears it everywhere, instead of coming back after the next sync • Signing in now says what's kept with your account before you do it Plus fixes and improvements.
App privacy
The developer, PixlFIT Ltd, reported these privacy practices to Apple.
Data Linked to You
The following data, which may be collected and linked to your identity, may be used for the following purposes:
- Health & Fitness: Health, Fitness
- Contact Info: Email Address, Name
- User Content: Photos or Videos, Other User Content
- Identifiers: User ID, Device ID
- Other Data: Other Data Types
Used for: App Functionality
Alternatives to PixlFIT
Looking for apps like PixlFIT? Here are 6 similar apps on the App Store. The highest rated is Output Capture (4.9/5), and all 6 are free to download.
| App | Rating | Price | Last updated | Compare |
|---|---|---|---|---|
| PixlFIT | – | Free | October 18, 2026 | |
| EVG: Pet Owner | – | Free | Jan 6, 2026 | Compare |
| UofG Sport | 4.7 / 5 (12) | Free | Oct 12, 2026 | Compare |
| Output Capture | 4.9 / 5 (14) | Free | Oct 21, 2026 | Compare |
| Morsia | 4.7 / 5 (714) | Free | Aug 24, 2026 | Compare |
| Corevue | – | Free | Nov 19, 2025 | Compare |
| ClubRight | 3.0 / 5 (2) | Free | Dec 23, 2025 | Compare |
Compare PixlFIT with the top alternatives: ratings, updates, ASO score and keyword gaps →