Image Authenticity Scanner

AI image detector for checking whether a photo is real, edited or AI-generated.

OsintNET Image Authenticity Scanner helps analysts investigate suspicious images with pixel-level AI detection, metadata forensics, generator traces, compression clues and clear evidence cards.

Investigation coverage

Designed for analysts who need clear signals, not scattered tabs.

AI or real image check

The scanner separates pixel-level AI probability from weaker metadata signals, so clean AI exports are not judged only by EXIF presence.

Metadata forensics

Original files can contain camera, lens, timestamp, GPS and editing software clues. OsintNET surfaces those signals and explains their limits.

Generator trace detection

AI tools and workflows sometimes leave prompt, seed, sampler, model or workflow strings in the file body. These are treated as strong evidence when found.

Visual forensic signals

Compression patterns, residual noise, edge density and clipped exposure regions help build a review profile, especially when metadata has been stripped.

Yapay zeka görsel tespit

Türkçe kullanım için araç, bir görsel yapay zeka mı değil mi sorusuna kanıt tabanlı cevap üretir ve sonucu raporlanabilir bulgulara ayırır.

Evidence-first reporting

Every result is presented with confidence, source context and export options so analysts can document why an image was flagged.

FAQ

Common questions

Can OsintNET tell whether an image is AI-generated?

OsintNET Image Authenticity Scanner combines a pixel-level AI image detector with metadata, file-structure and visual forensic checks. It reports probability and evidence, not impossible certainty.

Yapay zeka görsel tespiti nasıl yapılır?

Yapay zeka görsel tespiti için görselin piksellerindeki üretim izleri, EXIF ve XMP metadata, dosya yapısı, sıkıştırma davranışı ve varsa üretici araç izleri birlikte değerlendirilir.

Does missing EXIF prove that a photo is AI?

No. Social networks and messaging apps often strip EXIF metadata. Missing metadata is only a weak signal unless a pixel-level detector or generator trace supports it.

What is the best way to verify a suspicious image?

Start with the original file, run AI detection, inspect metadata, compare older web copies with reverse image search and document every finding with confidence and source context.

Start investigation

Use OsintNET to convert public signals into structured evidence.

Pick the module that matches your target and keep each clue connected to its source, confidence and investigation context.