AI media forensics

Upload it. Inspect it.Understand it.

Pixoraid analyzes images and videos for signs of AI generation and manipulation—so you can review the evidence, understand the confidence, and act with clarity.

Private analysis with live results

Live workflow

Analyze an image through the real detector path.

The website now calls the backend launch analyzer and returns probability, verdict, evidence, review status, and calibration wording.

Image preview

Drop or choose an image

JPG, PNG, or WEBP. Keep sensitive uploads out of public demos.

Guest mode: 1 free scan left. Sign in for 5 free checks every month.

No image analyzed yetUpload a file to see the real Pixoraid launch response here.

Private processingUploads are handled through the secure scanner path.

Transparent evidenceSee the signals behind the probability score.

Image + videoReview still images or sampled video frames.

Human review readyUncertain cases stay honest instead of being forced.

How It Works

Detection in 3 simple steps

From upload to probability, evidence, and review-ready decision support.

STEP 01

Upload Image

Drag and drop or paste any JPG, PNG, or WEBP image. The launch scanner is designed for in-memory analysis.

STEP 02

Analyze Forensic Signals

21 signals are extracted: noise, edges, EXIF, face regions, compression, frequency artifacts and more.

STEP 03

Get AI Probability Report

Receive AI probability, confidence level, signal breakdown, and review guidance for uncertain cases.

Ready to detect AI images? It's free.

Start with a demo flow or open the live scanner when you need a real backend result. Need to check a video instead? See how video detection works →

Open Live Scanner ->

Core Features

Everything you need to fight AI fakes

Signal layers from pixel noise to metadata work together across images and video, with uncertain filter and social images routed into safer review wording.

AI Image Detection

AI Recall

Detection engine analyzes pixel patterns, frequency artifacts, and semantic inconsistencies to estimate AI-generated image likelihood.

EXIF & Metadata Analysis

21 Signals

Forensic inspection of camera model, GPS data, software signatures, and compression artifacts to explain source clues.

Visual Forensic Signals

Zone Analysis

Analyzes noise patterns, edge density, texture regularity, blockiness, and regional artifacts that reveal AI synthesis.

Confidence Scoring

Review First

Clear AI probability percentage with honest uncertainty bands. Borderline cases return 'uncertain' rather than a forced wrong verdict.

API Access

REST API

Simple REST API with sub-second response. Integrate AI detection into any platform with a single POST request and JSON response.

Explainable Results

Full Breakdown

Every verdict comes with a breakdown of which signals fired, their individual weights, and why the model reached its conclusion.

AI Video Detection

Pro & Business

Upload a video from Sora, Veo, Kling, Runway, or any generator and get a frame-by-frame AI probability breakdown, not just one number for the whole clip.

Accuracy & Limitations

Honesty is part of the product

No detector on the market is perfect. Here is exactly where Pixoraid is strong, and where it isn't — on purpose, before you ask.

Detection is probabilistic

Pixoraid reports an AI-generation likelihood, not a legal fact. Treat every result as evidence to weigh, not a verdict to enforce.

Compression reduces reliability

Re-saving, re-encoding, or forwarding an image through social apps strips signal. Heavily compressed images lean toward "uncertain" rather than a confident call.

New generators take time to represent

Image generators update constantly. A brand-new model style may not be well represented in the training data yet — accuracy on it will be lower until it is.

Screenshots and edits are harder

A screenshot of an image, or one with filters and edits applied, loses camera-level and generator-level fingerprints that the detector relies on.

Missing metadata isn't proof

Real photos lose EXIF data through messaging apps, screenshots, and re-uploads every day. Absent metadata is a weak signal, never a standalone conclusion.

Built to support review, not replace it

For moderation, journalism, or any high-stakes call, Pixoraid is decision support. The final call should involve human judgment.

Why It's Different

Beyond a single score

Most basic AI detectors give you one number and nothing else. Pixoraid is built around evidence you can actually review.

CapabilityBasic detectorsPixoraid

OutputSingle scoreProbability + confidence band

EvidenceNone shownMetadata + visual signal breakdown

Uncertain casesForced real/fakeExplicit "uncertain" verdict

ExplanationBlack boxHuman-readable reasoning

Metadata checkRarely includedEXIF, source, and compression signals

API accessVariesREST API with full JSON breakdown

Who It's For

Built for creators, platforms, journalists, and businesses.

Whether you are checking one image or building a moderation flow, Pixoraid gives you evidence, confidence, and review guidance for better decisions.

Low

Real filter false-AI risk

Fast

Local runtime path

Forensic signal layers

News

Journalists & Newsrooms

Check a source image's authenticity before it runs in a story, with evidence you can cite in a correction log.

Mod

Content Moderation Teams

Route high-risk or uncertain media into a review queue instead of forcing a brittle auto-verdict.

Edu

Schools & Universities

Give academic-integrity reviewers a probability and evidence trail instead of a guess on submitted images.

Market

Marketplace Trust & Safety

Check whether listing photos are likely real cameras or generated images before they go live.

Photo

Creators & Photographers

Prove a portfolio image is real camera work when a client or platform questions its origin.

Research

Researchers

Batch-check dataset images for synthetic contamination before training or publishing on them.

Brand

Marketing & Brand Teams

Flag synthetic images impersonating products, spokespeople, or campaign assets before they spread.

Dev

Developers

Drop the REST API into an existing upload pipeline and get a JSON verdict back in under a second.

Developer API

Start with our simple REST API.

One POST request. JSON response. Integrate AI image and video detection, confidence bands, and review guidance into any platform in minutes.

⚡Fast local-first response path

🔑Simple API key authentication

📦Python, Node, PHP — any language

📊Signal breakdown and review hints in every response

🎬Video endpoint too — /detect/video, same auth and response shape

Get API Key →

REQUEST
POST https://api.pixoraid.com/v1/detect
Content-Type: multipart/form-data
Authorization: Bearer YOUR_API_KEY

{
  "image": <file>
}

RESPONSE 200 OK
{
  "verdict": "likely_ai",
  "ai_probability": 87,
  "confidence": "medium",
  "review_recommended": true,
  "signals": [
    "missing_exif",
    "synthetic_noise",
    "smooth_texture"
  ],
  "processing_time_ms": 340
}

Pricing

Simple, transparent pricing

Start free. Scale when you need deeper reviews and API access.

Prices in INR - UPI, cards, and netbanking supported.

Free

Rs 0

Try Pixoraid with no commitments.

5 image checks/month
Basic AI verdict
AI probability score
Standard speed

Start Free

Testing

Rs 50

A one-time trial to see how Pixoraid performs before subscribing.

20 image checks
2 video checks (up to 80MB each)
Full forensic explanation
One-time purchase, no recurring charge

Be first when Premium launches

Join the waitlist for API access, higher limits, and launch-day pricing. No spam — one email when it is ready.

FAQ

Common questions

Everything you need to know about Pixoraid AI detection.

Try it free

Pixoraid is trained across major generator families including Midjourney, DALL-E 3, Stable Diffusion, Flux, Adobe Firefly, and related datasets. Detection varies by image type, so the product shows probability, confidence, and evidence instead of promising certainty.