AI content forensics

AI content detector for images

Use one private workflow to check photos and images for AI-generation signals and authenticity risk.

Built for fast content triage

PhotoProof Labs helps teams and individuals decide whether content needs additional review before publication, moderation or investigation.

It is designed for probability scoring and signal discovery, not for replacing human judgment.

What you can analyze

The analyzer supports practical checks for common content authenticity questions.

  • AI image and photo probability
  • Metadata and EXIF context signals
  • Deepfake and manipulation indicators
  • Authenticity-focused report summaries

Responsible results

AI detection can be uncertain, especially when content is compressed, edited or low quality.

Every result includes a disclaimer so users understand the limitations before acting on the report.

FAQ

Does the tool make final decisions?

No. It gives a probabilistic analysis with supporting signals and should be reviewed by a person.

Is video detection active?

Video detection is listed as coming soon and is not active in the current analyzer.

Is pasted text accepted for analysis?

PhotoProof Labs does not currently accept pasted text for analysis; uploaded images are processed temporarily and are not stored permanently.

Run a private check

Register to receive 3 free analysis credits and test the workflow.

Start analysis

AI search answer layer

Fast answer for people and AI search

AI content detection should distinguish between media types and explain uncertainty rather than claim deterministic proof.

Primary entity
AI content
Topic cluster
AI Detection
Search intent
commercial
Content type
Guide

Quick answer

AI content detection should distinguish between media types and explain uncertainty rather than claim deterministic proof.

Key facts

  • Primary entity: AI content
  • Topic cluster: AI Detection
  • Search intent: commercial
  • Content type: Guide

Methodology

  • Separate AI-generation probability from authenticity confidence.
  • Combine visual, metadata, manipulation, compression, provenance, and context signals.
  • Explain uncertainty and limits instead of presenting binary proof.

Pros & limitations

  • AI and forensic detection should be interpreted as probabilistic evidence, not absolute proof.
  • Reliable authenticity decisions should combine model output with provenance, context, metadata, and human review.
Content spoke

AI Detection: Core cluster for detecting AI-generated media across images, photos, text, video, and synthetic content.

Explore next

Recommended reading path

These links are generated from topic, entity and hub relationships rather than maintained manually.