Face Blur Apps That Work Offline on iPhone: What Each App Actually Promises (2026)

Short answer: according to their own App Store listings, eight iPhone face blur apps say they process photos on the device and never upload them: BlurQ, Redact, Superblur, HiddenFace, Deface, BlurFace, Poof and Blur Video AI. Signal’s built-in blur also runs on the device, but only inside Signal. The table below collects what each listing and privacy label says so you can compare them in one place.

One thing to be clear about before the table: we did not put these apps in airplane mode and test them. Every value here comes from each app’s US App Store listing, privacy label and, where one exists, the developer’s website, as of October 2026. A listing is a promise, not proof. The good news is that the test is easy to run yourself, and we explain how further down. BlurQ is our app, so judge our row by the same rules as the others.

Why “offline” matters for a face blur app

A face blur app is unusual. The thing you give it is the sensitive thing. The photo still has the faces visible, the car still has its plate, the document still has its address. If the app sends that photo to a server to find the faces, a copy of the unblurred version now exists somewhere you cannot see or delete. Most such services are not malicious, but a breach or a retention policy you never read becomes your problem.

An app that runs on the device avoids the question entirely. Detection happens in the phone’s own chip, the blur is applied in memory, and the only file that ever leaves is the one you choose to share.

The simplest test is airplane mode. Turn it on, open the app, pick a photo, blur the faces and save. If detection still runs and the export still works, the processing is on the device, because there is no network to send anything over. We cover the full checklist below. We argue the same point for cloud editors in blur photos without uploading to the cloud.

How to read an App Store privacy label

Every app on the App Store has a privacy label with one or more of four headings. “Data Not Collected” means the developer declares it collects nothing. “Data Not Linked to You” means it collects some data, such as crash reports or usage counts, but does not tie it to your identity. “Data Linked to You” means it collects data tied to you, such as an email address. “Data Used to Track You” means some data, usually an advertising identifier, may be shared with other companies for ads or measurement. Apple does not verify these labels; the developer fills them in.

The important point: a privacy label and an on-device claim answer two different questions. The label is about analytics, accounts and ads. The on-device claim is about your photo. An app can show ads, carry a “Data Used to Track You” label, and still never upload a single image. The reverse is also possible: an app can declare “Data Not Collected” and still send your photo to a server for processing, because the label is about data the developer keeps, not about where the computation runs.

BlurQ is the clearest example of the first case, so we will say it plainly. BlurQ never uploads photos or video; detection uses Apple’s Vision framework on the phone. But the free version shows ads, and ad networks use identifiers, so our label reads “Data Used to Track You”. Redact declares “Data Not Collected”. If the label is what you care about most, Redact’s is cleaner than ours. If the question is whether your photo leaves the phone, both apps make the same promise.

The table: what each app promises

Values are quoted or paraphrased from each app’s App Store listing and privacy label. “Not stated” means the listing does not say. None of these claims were tested by us. Prices are US App Store, October 2026.

Notes on each app

A table cannot hold everything. These short notes cover what each listing says about offline use, plus anything that affects privacy, such as accounts, metadata and cloud features.

BlurQ

iPhone only, iOS 18 or later. Faces are found on the device with Apple’s Vision framework; photos and video are never uploaded, and saved photos carry no location or camera data. No account is needed. The free version needs a connection only to load ads and the watermark-removal ad; the blur itself does not. Pro Lifetime is a single $9.99 purchase and removes ads, the watermark and the video limit.

Redact

iPhone, iPad, Mac and Apple Vision. The listing describes it as “100% on-device, powered by the Neural Engine” and says it works fully offline. EXIF data is stripped on export. The privacy label is “Data Not Collected”, the cleanest in this group. No account is required. The cost is the trade-off: $59.99 lifetime, or $45.98 over two years of the annual plan.

Superblur

iPhone only, and it requires iOS 27. The on-device claim is clear, and the free tier has no watermark and no ads. The privacy label is the odd one out: “Data Linked to You” (email address for customer support) plus usage and diagnostics, and version 1.4 added a “Share Usage Data” switch that is on by default. That is about analytics, not photos, but it is worth switching off.

HiddenFace

iPhone and iPad, iOS 26 or later. The listing says it runs a YOLOv8 model on the device and can cover faces across entire videos. The privacy label is “Data Not Linked to You” (usage and diagnostics). Every feature is free with a small watermark. Whether the free tier has other limits is not stated.

Deface

iPhone and iPad, iOS 16 or later, the lowest requirement here. The listing claims “100% offline” processing on the Neural Engine and the label is “Data Not Collected”. Metadata stripping is a Pro feature, so free exports may keep location data. The free export count is not stated, and the app has a 2.6-star rating with complaints about video tracking.

BlurFace

iPhone, iPad and Android, iOS 17.6 or later. The listing says it “works offline” and the label is “Data Not Collected”. Photos are free with a daily limit the listing does not quantify. Video is Pro only, so there is no free way to check video in airplane mode before paying.

Poof

iPhone, iOS 18 or later, photos only. The listing says “No cloud. No uploads. No accounts.” and exports drop location, date and camera metadata. The label is “Data Not Linked to You” (purchase history). The free tier auto-covers only the most prominent faces and adds a watermark. A different app from another developer is also called Poof; this row is about the one at poof.photo.

Blur Video AI

iPhone, iOS 18 or later, video only. The listing says “All processing happens on device” and “Your media is never uploaded, never stored”. The label combines “Data Used to Track You” (identifiers) with “Data Not Linked to You” (usage, crash data). The free tier is not described; one review says saving to the camera roll required a subscription. Note the name clash: a separate app called “Blur Video - AI Blur Maker” from a different developer shows ads and lists location under “Data Used to Track You”; this row is about “Blur Video AI: Face & Mosaic”.

Signal

Signal’s image editor has a blur tool that finds faces on the device. It is free and needs no extra app, but it works only on images you send through Signal, blurs every face it finds with no per-face control, and the result cannot be saved for another app.

Apps and tools that do upload

Most online blur tools and cloud editors work the other way round. Canva and Adobe Express process edits on their servers, so the photo is uploaded first. Many sites that advertise “free online blur” do the same: you upload, the server processes, you download. That is a normal design for photo editing, and it is a poor one for privacy editing, because the version you upload is the one with the faces still visible.

There is one exception we can speak for. Our own blur faces online tool runs the face detection inside your browser. The model files download once, like any other page asset, and after that the photo stays on your machine. You can confirm this yourself: open the browser’s developer tools, watch the network tab while you pick a photo and apply a blur, and you will see no upload request. The in-browser method is explained in blur faces online without uploading.

How to test any app yourself in 60 seconds

Listings can be wrong or out of date. This test is not. It works for every app in the table and for any other app you are considering.

• Open the app once while online, so any models or first-run downloads are already on the phone.
• Turn on airplane mode and make sure Wi-Fi is off too (swipe into Control Center and check both icons).
• Open the app and pick a photo with several faces.
• Run the automatic detection. If faces are found, the detection model is on the device.
• Apply a blur and save. If the export completes, the processing is on the device too.
• Watch for a sign-in wall or a spinning loader that never finishes. Either one means the app is talking to a server for something; find out what before you trust it.
• Optional: back online, read the app’s privacy policy for “processing”, “cloud” or “uploads”. If it disagrees with the airplane-mode result, believe the test.

What we recommend, by need

All of this is based on listings, so treat it as a starting point and run the airplane-mode test on whichever app you pick.

• Cleanest privacy label: Redact, Deface or BlurFace. All three declare “Data Not Collected” and claim full offline processing. Redact is the most complete but the most expensive; Deface runs on older iPhones; BlurFace is photos-first.
• Cheapest one-time purchase with an on-device claim: Superblur at $6.99 if your iPhone runs iOS 27, otherwise the BlurQ face blur app for iPhone at $9.99 on iOS 18 or later. Both are single payments, not subscriptions.
• Video plus offline: BlurQ, Redact or HiddenFace. All three claim on-device video processing with tracking. BlurQ caps free video at 8 seconds, Redact badges free video, HiddenFace watermarks it; each removes the limit with a paid unlock.
• Photos only, many faces: Poof. No video, but a clear no-upload statement and strong crowd detection.
• No app at all: Signal if the photo is going to a Signal chat, or our browser tool for everything else.