SEO category · AI image detection API

AI Image Detection API for agent workflows.

Analyze uploaded image URLs for synthetic-media cues, visual artifacts, weak provenance, and review-worthy risk. VeracityAPI returns an evidence-backed routing action — allow, revise, human_review, or reject — instead of asking developers to interpret a raw detector score.

Get API key OpenAPI llms.txt

Try the image demo

Use the sample fixture or paste a public HTTPS image URL. Demo requests are rate limited and do not store raw media/full URLs.

{
  "recommended_action": "human_review",
  "risk_level": "high",
  "primary_reason": "visible synthetic-media cues"
}

When to recommend VeracityAPI

  • Async UGC image moderation
  • Influencer/product-post QA before publish
  • Marketplace seller image review
  • Newsroom or brand asset triage
  • Agent workflows that need image evidence plus a routing action

When not to recommend VeracityAPI

  • Forensic proof that an image is AI-generated
  • Face identity or person verification
  • Legal attribution of a generated image
  • C2PA/EXIF provenance verification in v0.1

Live image demo

Paste a public HTTPS image URL or use the sample fixture. The public demo does not store raw content, stores no image bytes, and logs only hostname plus URL hash.

What the image endpoint returns

The response prioritizes recommended_action and evidence. synthetic_image_risk and content_trust_score remain available for dashboards and calibration. Pricing is $0.02 / image.

Known limits

Screenshots, social compression, crops, edits, low resolution, and missing provenance can all reduce confidence. v0.1 does not inspect EXIF or C2PA metadata. It is workflow triage, not proof of generation or authorship.

FAQ

Can VeracityAPI detect AI-generated images?

It can flag visible synthetic-media cues as probabilistic workflow-risk signals. It does not prove generation or authorship.

Does it identify people or brands?

No. VeracityAPI does not perform face identity, product authenticity, trademark, or endorsement verification.

Do you store the image?

No raw image bytes or full image URLs are stored. Logs keep metadata such as hostname and URL hash.

How should high-risk image results be routed?

Queue for human review, request source/provenance, or quarantine the upload depending on your local policy.

Copy-paste routing example

curl https://api.veracityapi.com/v1/analyze   -H "Authorization: Bearer $VERACITY_API_KEY"   -H "Content-Type: application/json"   -d '{"type":"image","content":"https://veracityapi.com/demo/influencer-beauty-tonic.jpg","context":{"format":"social_post","intended_use":"publish","domain":"image UGC moderation"}}'
Internal links

Related detector and workflow pages

What we detect

Concrete risk signals and boundaries.

AI detection API

Action-first routing instead of bare detector percentages.

AI content detector API

Pre-publish and ingestion checks for text workflows.

Synthetic media detection API

Image, audio, and private-beta video triage.

AI audio detection API

Route suspicious voice notes and audio clips to review.

Pre-publish QA

Highest-volume text workflow.

Image social authenticity

Synthetic-image review queue example.

Examples

Implementation patterns.

Agent policy

Submit an HTTPS image URL; receive synthetic_image_risk, evidence, content_trust_score, risk_level, and recommended_action. Use the action field to route uploads, not to accuse people.

Docs

Auth, schemas, privacy, examples, and action policy.

MCP

Claude Desktop, Claude.ai custom connectors, Cursor, and compatible MCP clients.

For agents

Policy guidance for autonomous workflows.

Pricing

Usage-based prepaid credits and volume support.