Is 1967: Retro Filters & Effects Legit & Safe?
With 4.7 stars across 13,877 ratings, 1967: Retro Filters & Effects is an established app on the App Store. The 1-3 star reviews below show the specific issues some users hit, not red flags about the app itself.
Based on public App Store data and user reviews. Not affiliated with Maple Media Apps, LLC.
What users complain about in 1967: Retro Filters & Effects
Users complain about excessive ads, inability to save edited photos, and poor filter selection. Many also report app crashes and issues with purchased features not being restored after reinstalling.
Summarized from 26 recent 1-3 star reviews.
1967: Retro Filters & Effects: frequently asked questions
Is 1967: Retro Filters & Effects legit?
1967: Retro Filters & Effects is a legitimate app listed on the App Store with a 4.7 star rating from 13,877 ratings. "Legit" and "good for you" are different questions: the 1-3 star reviews below show where real users run into trouble.
Is 1967: Retro Filters & Effects safe to download?
1967: Retro Filters & Effects is distributed through the official App Store, which screens apps before listing. The main safety questions for most users are around subscriptions, data permissions, and billing. The negative reviews below surface those concerns when users report them.
Is 1967: Retro Filters & Effects a scam?
1967: Retro Filters & Effects is a real, store-listed app rather than a scam link. As with any app, scan the negative reviews below for billing or subscription complaints so there are no surprises after install.
Why does 1967: Retro Filters & Effects have negative reviews?
Even well-rated apps collect 1-3 star reviews when users hit specific friction: crashes, paywalls, account issues, or missing features. The reviews below group these complaints so you can judge whether they affect your use case.
Should I download 1967: Retro Filters & Effects?
For most users, 1967: Retro Filters & Effects is a safe choice given its 4.7 star rating. Skim the negative reviews below to check the edge cases (regional limits, payment methods) that the high average hides.