What Vintage Scene actually does (from App Store listing)
VintageScene is your one stop shop for making photos look "old-school" or "retro".
Vintage Scene is the best special effects software for photography enthusiasts, turning a new or recent photo into an old photo, one that looks like it was taken many years ago.
This unique algorithm automatically combines several classic effects: sepia tone, grain, darkened edges, distressed paper, along with the look of fade that with time has left behind an image with only bright blacks and darkening white…
VintageScene is your one stop shop for making photos look "old-school" or "retro".
Vintage Scene is the best special effects software for photography enthusiasts, turning a new or recent photo into an old photo, one that looks like it was taken many years ago.
This unique algorithm automatically combines several classic effects: sepia tone, grain, darkened edges, distressed paper, along with the look of fade that with time has left behind an image with only bright blacks and darkening whites. Vintage Scene is easy to use but gives the user control to change each component for a unique look on each photo.
Includes hundreds of possible combinations, a visual preset system, and the ability to create your own presets for re-use.
Built with power to produce high resolution images this app will apply the most sophisticated photo filters to your images. Vintage Scene quickly and easily creates compelling photos for graphic artists, photographers, & hobbyist who rely on a high quality end result.
Supports full-size images
Preview mode for quick workflow with large image rendered at save/email Visual presets with the ability to create custom presets using the "Save" menu.
🆕 What's new · v4.60
Optimization, bug fixes and performance improvements.
Comparable iOS apps
The five apps in Photo & Video with the closest revenue to Vintage Scene. Click any to see its detail page.
Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag.
The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR.
Every number on this page comes from public APIs and bumetric's own snapshot history.
Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors.
See also the live data on Vintage Scene's tracker page for current rating, reviews and snapshot timeline.
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