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Is This AI?Image Detector

Don't get fooled by AI again

Instantly detect AI-generated photos and deepfakes from your screenshots before you share.

Over 45,000+ checks verified daily

4.9
Elena R.
Elena R.

“The share-sheet speed is insane. I verify photos during live breaking news without ever switching tabs.”

David M.
David M.

“The SynthID watermark & sensor noise analysis catches generative artifacts instantly. Indispensable tool.”

Sarah K.
Sarah K.

“Saved me from retweeting three fabricated disaster photos this month alone. Essential daily utility.”

Help us protect more from AI

Your rating helps protect millions from deceptive deepfakes and fake media.

Proprietary AI Vision Architecture

Our Proprietary Model & Detection Statistics

Engineered with multi-signal forensic triangulation and benchmarked on 843 hardened evaluation stress tests across frontier AI generators.

Forensic Architecture

Multi-Signal Forensic Detection Layers

576 Token Budget

Aspect-Preserving 25-Bucket ViT-S/16

Standard detectors center-crop images to 224×224, throwing away ~45% of width on 16:9 photos. Our ViT-S/16 maps images into 25 native aspect buckets with baked position embeddings, inspecting entire canvases without center-crop distortion.

Core Neural ModelProduction v0.6.0
Pre-Model Head

21 Deterministic Spectral & Noise Features

Computes 2D Fast Fourier Transform (FFT) radial spectral slope, 3×3 high-pass filter excess kurtosis (hf_noise_kurtosis), Bayer Color Filter Array (CFA) demosaicing traces, and gradient entropy to isolate synthetic diffusion noise from camera optics.

Frequency PhysicsProduction v0.6.0
Hardware & Provenance

Cryptographic Provenance (SynthID & C2PA)

Inspects imperceptible Google SynthID digital watermarks and cryptographically validates C2PA Content Credentials manifests to instantly identify declared AI generation or camera hardware provenance.

Provenance GateProduction v0.6.0
Secondary Arbiter

12-Strategy Human-Grounded Forensic Harness

When neural logits fall in ambiguous bands (0.35–0.85), an automated 12-strategy verification harness cross-evaluates localized facial boundary seams, color-temperature shifts, and PRNU sensor noise discontinuities.

Dual VerificationProduction v0.6.0
Verified Training Statistics

Hardened Evaluation Benchmark Results

Empirical metrics from our v0.6.0 model benchmarked across 843 curated stress-test images (410 synthetic, 433 camera authentic) spanning 6 lossy degradation views.

96.5%

Macro Mean ROC-AUC

93.1%

Balanced Accuracy

n = 360ROC-AUC 99.2%

Unseen 2026 Frontier Generators

98.3% AI Recall

Stress-tested against completely unseen generative models (Midjourney v6, Flux.1, SD3, DALL-E 3, Imagen 3) without fine-tuning.

Real Specificity90.0%
n = 42ROC-AUC 99.7%

Viral Social Media Posts & Memes

100.0% Real Specificity

Benchmarked on contested community submissions from Reddit r/isthisai and r/isitai, X, and TikTok with zero false accusations on real photos.

AI Recall90.0%
n = 843ROC-AUC 97.0%

Recompressed Web & Social JPEG

96.5% Real Specificity

Evaluated through severe multi-hop lossy JPEG re-compression simulating Instagram, WhatsApp, and Reddit upload pipelines.

AI Recall91.7%
n = 843ROC-AUC 97.3%

Cropped Mobile Screenshots

94.0% Balanced Acc

Processed via automated content-box boundary isolation, removing phone status bars and UI chrome while retaining full-frame micro-signatures.

Real Specificity96.1%
n = 843ROC-AUC 96.8%

Multi-Hop Resaved Files

97.0% Real Specificity

Tested on files repeatedly resaved, forwarded, and re-encoded across multiple messaging and cloud storage platforms.

AI Recall87.8%
n = 843ROC-AUC 94.2%

Hard Low-Resolution Stress Test

90.3% Real Specificity

Evaluated on degraded sub-256px thumbnails and compressed image crops where spatial frequency cues are heavily constrained.

AI Recall81.0%
Active Architecture: ViT-S/16 + 23-Feature Neural Head (out_balanced_v9)•Thresholds: Real (≤ 0.35) · AI (≥ 0.85)
View Full Benchmark & Validation Report

Why detecting AI matters today

Deceptive synthetic media spreads 6× faster than authentic journalism.

1 in 3 people see AI content online every day

27% are unsure whether what they saw was AI.

Source: YouGov survey (via Statista)

76% say it's important to spot AI, but 53% cannot

Only 12% are highly confident they can tell the difference.

Source: Pew Research (5,023 adults, 2025)

73% believed or were unsure about viral AI media

35% believed them • 38% were unsure about authenticity.

Source: NewsGuard / YouGov

People judged someone guilty even after told it was an AI fake

lasting bias Synthetic deception inflicts lasting bias even after debunks.

Source: University of Bristol (2026)
Native Action Extension for iOS & Android

The Most Convenient Detection Extension

Never switch apps or copy links. Detect AI photos directly inside Photos, Safari, Instagram, TikTok, Reddit, and X with a single tap.

01•
Most Convenient Detection Extension

1-Tap Share Sheet Action Extension

Verify directly from Photos, Safari, Instagram, TikTok, Reddit, and X without switching apps.

Unlike traditional AI detectors that force you to take screenshots, leave your social feed, and upload files to a website, Is This AI? operates right inside your operating system's native Share Sheet. Tap 'Share' on any image, video, or post, select 'Check with Is This AI?', and get an instant forensic verdict sheet sliding up immediately.

Zero app switching — scan directly inside Instagram, TikTok, Reddit, X, Safari, and Photos
One tap to pin to your iOS and Android Share Sheet Favorites for instant access anytime
Ephemeral stream processing in volatile RAM — zero server retention, zero local cache clutter
1-Tap Share Sheet AI photo scanner action extension
02•
Multi-Signal Forensics

Transparent evidence, not just a black-box percentage

Inspect Google SynthID watermarks, C2PA Content Credentials, and camera optical sensor noise.

Generic detectors spit out an arbitrary score with zero explanation. Is This AI? dissects the forensic anatomy of every image across multiple independent layers: proprietary 25-bucket ViT-S/16 neural classifier predictions, cryptographic C2PA provenance tags, Google SynthID imperceptible watermarking, and camera PRNU sensor noise variance.

Cryptographic C2PA metadata & manifest parser reveals originating AI generator or camera hardware
Imperceptible Google SynthID watermark detection uncovers hidden generative markers
Hardware camera sensor optical PRNU noise analysis catches synthetic diffusion artifacts
Multi-signal forensic breakdown and watermark signals
03•
Targeted Crop & Region Focus

Isolate faces, hands, and suspect objects in crowded posts

Pinch, zoom, and frame specific regions before running forensic analysis.

When evaluating a group portrait, viral meme with heavy captions, or composite marketing visual, social compression and overlay text can distort overall scores. Our built-in precision crop tool lets you isolate the exact face, background texture, or hands to run targeted neural forensics with maximum accuracy.

Pinch-to-zoom precision bounding box for faces, hands, and suspicious synthetic elements
Automatically bypasses social media UI captions, meme borders, and compression watermarks
Apple Vision saliency alignment highlights key suspect subject zones before scanning
Crop and region selection tool for precision AI detection
04•
Shareable Verdict Cards

Warn friends and followers with verifiable proof

Export high-resolution 9:16 Story and 1:1 Post verdict cards in one tap.

Stop the spread of deceptive AI fakes before they go viral. Whenever you verify an image, export an authentic tamper-evident forensic verdict card styled for Instagram Stories, TikTok, X, or WhatsApp group chats. Choose between Dark Cinema and Light Paper aesthetic themes with detailed score breakdowns.

9:16 vertical Story format engineered for Instagram Stories, TikTok, and WhatsApp status
1:1 square Post format tailored for X feeds, Reddit communities, and messaging threads
Includes forensic confidence score, model attribution, and verifiable inspection timestamp
Exportable 9:16 Story and 1:1 Post AI detection verdict card
05•
100% Private On-Device History

Track your scans and train your visual intuition

Browse past checks, review AI vs Real indicators, and wipe history anytime.

Every image you analyze is cataloged strictly inside your phone's encrypted local sandbox. Revisit past AI, Real, and Unclear verdicts to build your own visual intuition for spotting synthetic artifacts. Your scan history never syncs to third-party cloud servers and can be wiped with a single tap.

Stored strictly in your phone's local sandbox — zero cloud sync, zero tracking profiles
Filter by AI, Real, and Unclear verdicts to train your visual discernment over time
One-tap 'Clear History' completely purges all local logs and cached thumbnails
On-device AI detection scan history and quota tracker

Add to Favourites

Add to iOS & Android Share Sheet Favorites for 1-tap checks: Tap Share • Tap Edit Actions • Tap (+) Add to Favorites

Community-Powered Forensics

Report misclassifications. Strengthen our dataset. Help us fight against AI slop.

Generative AI models evolve daily, producing subtle variations designed to bypass standard filters. When our community spots an edge case, a single report flags the anomaly for human review, retraining our neural classifier against new AI slop.

1-Tap In-App Misclassification Reporting

Tap “Was This Wrong?” on any verdict to submit false positives or missed fakes. Every report includes optional notes to pinpoint exact facial or texture artifacts.

Continual Hardened Benchmark Training

Community-flagged edge cases are audited and merged into our hardened eval pipeline, retraining our ViT-S/16 detector against Midjourney v6, Flux, and SDXL updates.

Collective Defense Against Synthetic Slop

Together, we protect millions of everyday users from synthetic deception, fabricated disaster news, and automated social bot farms.

Multi-signal AI forensic detail with feedback and reporting capabilities

Plans & Pricing

Try our AI image detector free on the web, and start with 10 free mobile scans in the app.

Free

$0

Included with every AI detector app download.

  • 10 free mobile scans + free web checker
  • iOS & Android Share Sheet access
  • Export 9:16 & 1:1 Verdict Cards
  • 100% private in-memory analysis

Pro Annual

7-Day Free Trial
$49.99/ year

$4.16/month billed annually.

  • 500 scans / month
  • Video timeline anomaly scrubber
  • C2PA & SynthID inspection
  • Detailed detector scores

Pro Monthly

$9.99/ month

Month-to-month flexibility.

  • 500 scans / month
  • Video frame inspection
  • Full detector breakdowns
  • Cancel anytime

Support & AI Detection FAQ

Have questions about our AI image detector or need help with a purchase? Get in touch with our team.

Frequently asked questions

How does this AI image detector know if an image is real or AI?

Our detector inspects visual patterns and invisible markers that generative tools leave behind. It checks for AI generation tags, camera lens characteristics, and synthetic textures to provide a clear, reliable verdict in seconds.

Can I use the detector for free without signing up?

Yes. You can test images directly online with zero sign-up required, or download the app on iOS and Android with 10 free scans included. No account or email is needed.

How do I check an image from social media without leaving the app?

On your phone, tap 'Share' on any photo or post in Instagram, TikTok, Reddit, X, or Safari, and select 'Check with Is This AI?'. An instant verdict slides up over your screen without needing to switch apps or copy links.

What should I do if an image is small, blurry, or cropped weirdly?

Use our built-in crop and zoom tool to focus directly on key subjects like faces or hands. Framing the main subject removes distracting text, meme borders, and social media watermarks for much cleaner results.

Are my personal photos saved, uploaded to public servers, or used for AI training?

Never. Your images are analyzed strictly in temporary memory and deleted immediately once your result is shown. We never store your photos on our servers or use them to train any AI models.

What does it mean when a result comes back as Unclear?

When an image is extremely compressed, heavily re-saved, or very low resolution, fine details can get lost. Rather than guessing or giving you a misleading answer, we flag it as Unclear so you know to check a higher-quality version.

What should I do if I think a detection verdict was wrong?

You can tap 'Was This Wrong?' right inside the app to submit feedback in one tap. Community reports help our team review difficult edge cases and continuously protect everyone against new types of AI fakes.