Start a peel case
Log the object, surface, label type, method path, before photo and follow-up need.
Offline sticker removal tracker
Remember what actually worked on each label.
Label Lift helps track sticker removal attempts, surface types, methods, rinse follow-ups, residue, cloudiness, damage and real household results.
Developer Name: Evelyn Martin
Label Lift
Finish after rinse
Return later to record residue, cloudiness, surface damage and whether the method was worth repeating.
Build a real notebook
Turn messy household tests into a local record of clean lifts, sticky repeats and risky surfaces.
Peel path
A practical flow from first attempt to honest follow-up.
Label Lift is not a hack blog or product catalog. It stores the user's own real-world results.
1
Choose object
Start with a jar, bottle, container, box, candle glass or another household object.
2
Map the label
Record surface type, finish, label type and starting condition tags.
3
Pick methods
Track liquid, heat, scrape, soak, wipe or combo methods and reusable routines.
4
Return later
Use follow-up after rinsing, washing or drying to capture the true result.
5
Compare residue
Review clean lifts, sticky trouble, damage watch and methods worth saving.
Bench
The main workbench starts every removal case.
Bench keeps the current household experiments visible: active cases, rinsing cases, clean lifts, sticky repeats and waiting follow-ups.
Start a peel case
Soak and return
Clean lifts
Sticky repeats
Waiting for rinse
Object profiles
Objects keep title, object type, surface type, finish, food-use flag, notes and optional local photo path.
Method paths
Methods and routines preserve what was tried, from warm water and oil to scraping or wiping combinations.
Follow-up first
Cases are not treated as finished until residue, damage, cloudiness and clean touch are checked.
Cases and Methods
A household notebook for each label-removal result.
Cases hold object snapshots, label snapshots, method paths, photos, during-removal notes and final verdicts.
C
Cases
Filter by Clean, Sticky, Damaged, Glass, Plastic, Paper label, Film label, Need retry and Photo.
L
Methods
Review where a method shines, where it fails, residue risk, damage notes and recent cases.
R
Routines
Store step sequences and compare clean result frequency against repeated second-pass needs.
Clean lift score
Calculated only for cases with follow-up, using residue, surface damage, cloudiness, clean touch and effort tags.
Sticky trouble
Groups repeated problems by surface type, label type and leading method kind without overclaiming from one case.
Damage watch
Highlights surfaces where damage level repeats across enough cases to be useful.
Worth saving
Methods and routines are surfaced only when clean lift scores stay strong across enough real examples.
Residue Map
Real reliability, not borrowed advice.
Residue Map organizes completed follow-ups into Clean peel board, Sticky trouble, Damage watch, Second-pass shelf and Worth saving.
Clean peel board
Sticky trouble
Damage watch
Second-pass shelf
Worth saving
Sink and local data
Fully offline and built for a home bench.
Label Lift is planned for iOS 16+ with SwiftUI, TabView, NavigationStack, UserDefaults + Codable storage and local file storage for user photos.
Five sections: Bench, Cases, Methods, Residue Map and Sink
Local keys for objects, methods, routines, cases, follow-ups and settings
Photos stored in Documents/LabelLiftImages, never in UserDefaults
Export notebook and photo cleanup handled from Sink