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Hive Moderation AI Detector

Benchmark Results & Accuracy Stats

1000
Elo Rating

Hive Moderation provides enterprise-grade AI detection with high accuracy, trusted by stock photo platforms and social networks.

100.0%
Accuracy
0.0%
False Positive
0.0%
False Negative
9
Images Tested

Verdict

Hive Moderation ranks #3 among tested AI detectors with an overall accuracy of 100.0% across 9 images. It performs strongest against Firefly v4 images (100% detection rate) but struggles with Gemini 3 Pro content (only 100% detected). With a 0.0% false positive rate, it rarely misidentifies real photos.

Hardest to Detect Models

AI models with the lowest detection rate by Hive Moderation.

Arena Performance

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Wins
0
Losses
0
Ties
Total Battles: 0

Benchmark Methodology

Hive Moderation was evaluated on a curated dataset of 9 images across 4 AI image generators and 2 watermark types, including models like Midjourney, Stable Diffusion, DALL-E 3, Flux, and others. The dataset also includes real photographs from verified sources to measure false positive rates.

All detectors are tested under identical conditions using the same images. We record each detector's classification (AI or Real) and confidence score, then compute three key metrics: Accuracy (percentage of correct predictions), False Positive Rate (real images incorrectly flagged as AI), and False Negative Rate (AI images missed by the detector).

See full benchmark methodology
Rated 4.8+
by AI Detector Arena Users
11 Detectors
Compared in Real-Time
Trusted By 100+
Organizations

Helping creators & businesses everywhere work easier

CBS
FOX
NBC
yahoo! finance
BuzzFeed

See the Difference

Drag the slider to compare before and after. AI watermarks removed, quality preserved.

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Digital Illustration

What is Hive Moderation?

Hive Moderation is an enterprise-grade AI content detection and moderation platform trusted by major stock photography sites, social networks, and content platforms worldwide. Known for its high accuracy rates and robust API, Hive has established itself as one of the leading commercial AI detection services.

The platform offers comprehensive content moderation including AI-generated image detection, NSFW filtering, violence detection, and more - making it a one-stop solution for platforms requiring automated content screening.

How Hive Detection Works

Hive employs sophisticated detection technologies:

Advanced Neural Networks

  • Proprietary deep learning models trained on massive datasets
  • Continuous learning from new AI generators and techniques
  • Multi-stage classification for increased accuracy
  • Ensemble methods combining multiple model predictions

Comprehensive Analysis

  • Pixel-level examination identifying subtle AI artifacts
  • Statistical fingerprinting comparing against known AI generation patterns
  • Frequency domain analysis detecting spectral anomalies
  • Contextual evaluation considering image composition and elements

Generator Identification

Hive doesn't just detect AI generation - it can often identify which specific AI model created the image:

  • Midjourney
  • DALL-E 2 and 3
  • Stable Diffusion variants
  • Adobe Firefly
  • Other major generators

Industry-Leading Accuracy

Hive consistently ranks among the most accurate AI detectors:

  • 92-98% accuracy on most AI-generated images
  • 95%+ accuracy on popular generators like Midjourney and DALL-E
  • Low false positive rate (typically under 5% on real photos)
  • Robust against common evasion techniques

These numbers are regularly validated through independent benchmarks and real-world deployments.

Key Features

Real-Time API

Process images in milliseconds with a highly available, scalable API designed for production use.

Confidence Scores

Detailed probability scores indicating likelihood of AI generation, allowing fine-tuned moderation policies.

Model Attribution

Identify not just whether an image is AI-generated, but which generator was likely used.

Batch Processing

Efficiently handle large volumes of images for bulk moderation workflows.

Dashboard Analytics

Monitor detection patterns, track API usage, and analyze moderation trends.

Enterprise Adoption

Hive is used by:

  • Stock photography platforms - Screening uploads for AI content
  • Social media networks - Moderating user-generated content
  • News organizations - Verifying image authenticity
  • Dating platforms - Detecting fake AI-generated profiles
  • E-commerce sites - Ensuring product image authenticity

Pricing Model

Hive operates on enterprise pricing:

  • Pay-per-image API calls for scalable usage
  • Volume discounts for high-volume customers
  • Custom enterprise agreements for major platforms
  • No free tier - the service is designed for commercial use

Exact pricing requires contacting Hive sales for a quote based on expected volume.

Limitations

Despite high accuracy, Hive has some limitations:

  • Cost - Premium pricing may be prohibitive for small users
  • No free tier - Cannot test without business contact
  • Evolving AI - Newest generators may temporarily evade detection
  • Heavy editing - Significantly post-processed images may reduce accuracy

Integration Options

  • REST API - Standard HTTP integration
  • SDKs - Client libraries for popular languages
  • Webhooks - Asynchronous processing notifications
  • Platform integrations - Pre-built connectors for common platforms

Our Benchmark Results

In our comprehensive testing, Hive consistently performs as one of the top AI detectors. View our detailed benchmarks comparing Hive against other detection services across multiple AI generators, image styles, and post-processing scenarios.

Frequently Asked Questions

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Content Platform Manager

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Platform Developer

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Lisa Park

Academic Integrity Officer

"Our institution evaluated multiple AI detection tools using this platform. The accuracy metrics and false positive rates were exactly what we needed."

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