Filter Studio vs Stickered

FilterStudio is a professional, on-device photo editor engineered for speed, control and privacy. Built on Apple Core Image and PencilKit, it delivers studio-grade output without a server round trip and without a single subscription prompt. ENGINE • 15 hand-tuned filters mapped to native CIFilter primitives — Mono, Noir, Fade, Chrome, Process, Transfer, Instant, Sepia, Vivid, Dramatic, Silvertone, Posterize, Bloom, Vignette, Original. • Real-time GPU pipeline — every slider rebuilds the preview at native resolution. • Lossless export — output written back to Photos at the full input pixel size, no recompression artifacts beyond standard PNG/JPEG. ADJUSTMENTS • Brightness — linear exposure offset. • Contrast — perceptual contrast curve. • Saturation — chroma scaling, clamped against banding. • Live preview, no commit step. LAYER SYSTEM • Text layer — UTF-8, dynamic font sizing, color and bold control, free positioning. • Sticker layer — vector-style emoji and shapes, scale and rotate. • Drawing layer — Apple Pencil first, finger fallback, multi-color. • Layers composited at export time, original photo never overwritten in place. WORKFLOW 1. Pick a photo via the system PhotosUI picker. 2. Apply filter, adjust, add text/stickers, doodle. 3. Crop and rotate if needed. 4. Tap Save — written to Photos with library write authorization only. PRIVACY & SECURITY • Strict on-device processing. No analytics, no telemetry, no third-party SDKs. • Photos library access is request-once, write-only by default. • No user account, no email collection, no IDFA usage. LOCALIZATION English and Simplified Chinese, switchable from in-app settings. REQUIREMENTS iOS 17.0 or later. iPhone only. PRICING Free. No tier, no consumable, no in-app purchase. FilterStudio is for users who want professional control without subscription friction. Install once, edit forever.

Turn any photo into a transparent-background sticker in a few taps — add your own text, then arrange your stickers into a Scene. All on your device. MAKE A STICKER 1. Capture a photo or import one from your library. 2. Auto-cutout lifts the subject — clean edges, no green screen, no fuss. 3. Add an Outline. Set the thickness and colour for that classic die-cut look. 4. Add text — straight or curved — in the font and colour you want. 5. Fine-tune edges by hand with the Refine brush. Pan, pinch to zoom, two-finger tap to undo. 6. Save to your on-device Library, or share to Messages, Instagram, AirDrop, or Files. BUILD A SCENE (new) Drop several stickers onto a background and arrange them into one image — a wallpaper, a collage, a layout. Add text, layer elements front to back, and pick a background: a solid colour, a gradient, or one of your own photos. Export the whole Scene as a single image. MADE FOR - Journalers and scrapbookers who want stickers from their own photos. - Anyone who's ever wanted a sticker of their dog, their plant, or their breakfast — with a caption. - People who care that their photos stay private. FREE, FOREVER - On-device subject detection — no cloud, no upload, no account. - Adjustable Outline: any thickness, any colour. - Refine brush for pixel-perfect edges. - One text element with our free font set. - On-device Library. No watermark. No usage cap. No ads. - Start building Scenes right away. STICKERED PRO — ONE-TIME UNLOCK, NO SUBSCRIPTION - Multiple text elements per sticker. - Curved / arc text (emoji included). - Per-element text outline. - The full premium font catalogue — 20+ fonts, including 9 Simplified Chinese styles. - Re-open and re-edit any sticker you've saved. - Scene extras: gradient and photo backgrounds. Buy once, keep every Pro feature we add in future updates. PRIVACY Your photos never leave your device. Stickered does not upload, transmit, or store your photos on any server. No accounts. No tracking. Optional anonymous usage stats (never your photos or text) help us decide what to build next — turn them off anytime in Settings. Privacy policy: https://jzlim.github.io/stickered-privacy/ REQUIREMENTS iPhone on iOS 17 or later. Subject detection uses Apple's on-device Vision framework.