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OpenQodex vs AI Image Detector

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

OpenQodex compared with AI Image Detector
Detail OpenQodexAI Image Detector logo AI Image Detector
What it doesOpen source code review inside your coding agent before you push Evidence laid out, not a lone percentage.
StageStartup Not given
Founded2024 Not given
Based inUS Not given
Pricing modelOpen source Freemium
PricingFree. Open source under Apache 2.0 license. Free plan: 4 welcome credits (1 full report). Pro: $19/month for 300 credits/month. Team: $59/month for 1500 credits/month. Each report costs 4 credits.
Key features
  • 22 built-in scanners for secrets, security, dependencies and lint errors
  • Code graph showing callers and importers of changed code
  • Separate reviewer process using Claude Code or Codex
  • Script-based validation of review completeness
  • Works with Claude Code, Cursor, Codex and Cline
  • Terminal, agent and CI integration
  • GitHub Action for pull request reviews
  • Pre-commit and pre-push hooks
  • Custom scanner configuration from GitHub
  • No telemetry or data collection
  • Cross-checks four independent detection models
  • Deterministic evidence trump card (C2PA credentials, generator self-tags)
  • Published weighted-vote rule (30% each for Sightengine, Winston AI, Was It AI; 10% for SAFE)
  • Batch screening of up to 50 images at once
  • Graded conclusions with disagreement reported
  • Shareable report links and forensic PDF download
  • Support for JPEG, PNG, WebP up to 12MB
  • Generator-specific classification (Midjourney, DALL-E, Stable Diffusion, Flux, Imagen, Adobe Firefly, Ideogram)
  • SHA-256 file hash recording for chain-of-custody
  • Private uploads, shared only via report link
What makes it different
  • No API key, account or server required - runs entirely on your local machine
  • Separate reviewer process with no memory of the coding session that produced the code
  • Open source Apache 2.0 license with full transparency
  • Integrated directly into coding agents without additional configuration
  • Findings only on changed lines, not whole repository
  • Published weighted-vote rule with every vote shown by name instead of hidden percentages
  • Reports disagreement honestly instead of blending signals into one number
  • Automatic credit refund when an engine fails
  • Full product access in free tier (not a limited teaser)
  • Deterministic file evidence (C2PA, metadata) that outranks model votes
Community votes00
DR (Domain Rating by Ahrefs)41 no change since last check40 no change since last check
Trust Flow (Majestic)1713
Citation Flow (Majestic)2227
Referring domains (Majestic)316102

5 details filled in for both companies.

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