Comparison

DeepSight vs Illuminarty

Illuminarty offers a distinctive approach to AI detection: localized analysis that highlights specific regions of an image suspected of being AI-generated. This makes it useful for detecting partially edited images. However, independent tests suggest overall accuracy around 75%, and the platform offers limited forensic depth. DeepSight combines metadata analysis, pixel-level forensics, and LLM vision analysis into a multi-signal cascade that delivers higher overall accuracy with transparent, explainable results.

Feature Comparison

Feature
DeepSight
Illuminarty
Multi-signal cascade detection
Yes — 4-layer fusion
No — single detection model
Free tier available
Yes — 5 free analyses
Yes — limited free access
Localized region detection
No
Yes — highlights suspected regions
Confidence scores
Yes — 0-100% with verdict tiers
Yes — percentage score
Source attribution (generator ID)
Yes — 30+ generators
Limited
Metadata & EXIF analysis
Yes — 21 AI software patterns
No
C2PA / Content Credentials
Yes
No
Pixel-level forensics (ELA, entropy)
Yes
No
LLM vision analysis
Yes — Claude Haiku 4.5
No
API access
Yes — REST API
Limited

Pricing Comparison

Tier
DeepSight
Illuminarty
Free
Free — 5 analyses
Free — limited analyses
Pro
$19/mo — 500 analyses
Pricing not publicly listed
Enterprise
$79/mo — 5,000 analyses + API
Custom pricing

Strengths

DeepSight strengths

  • Higher overall accuracy through multi-signal fusion
  • Transparent forensic breakdown explains every detection
  • C2PA and metadata provenance detection included
  • Identifies 30+ specific AI generators

Illuminarty strengths

  • Localized detection highlights specific AI-generated regions
  • Useful for partially edited or composited images
  • Visual heatmap makes results intuitive

Verdict

Choose Illuminarty if you specifically need to identify which regions of an image may be AI-generated, such as detecting localized edits or composites. Choose DeepSight if you need higher overall accuracy, multi-signal forensic analysis, source attribution, and transparent confidence scoring. For most AI detection use cases, DeepSight's cascade approach delivers more reliable and explainable results.

Frequently Asked Questions

How accurate is Illuminarty?

Independent testing suggests Illuminarty achieves approximately 75% accuracy overall. DeepSight's multi-signal cascade achieves significantly higher accuracy by combining four independent detection layers, reducing the impact of any single model's blind spots.

Can DeepSight detect partially AI-edited images?

DeepSight's forensics layer analyzes pixel-level patterns including error level analysis and noise uniformity, which can indicate localized edits. While it does not produce a visual heatmap like Illuminarty, the forensic signals detect inconsistencies that suggest partial AI manipulation.

Does Illuminarty support C2PA detection?

Illuminarty does not currently detect C2PA Content Credentials or metadata provenance. DeepSight includes C2PA detection as part of its metadata layer, identifying images that carry cryptographic provenance information.

Which tool is better for detecting Midjourney images?

DeepSight identifies 30+ specific generators including all Midjourney versions, DALL-E variants, Stable Diffusion models, and FLUX. Illuminarty offers more limited source attribution. For identifying the specific tool used to create an image, DeepSight provides more detailed results.

See the difference for yourself

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deepsight

Multi-signal AI image detection for the synthetic media era.