Verdict
TruthScan ranks #3 among tested AI detectors with an overall accuracy of 94.4% across 18 images. It performs strongest against Firefly v4 images (100% detection rate) but struggles with Wan v2.6 content (only 100% detected). With a 20.0% false positive rate, it frequently misidentifies real photos as AI-generated.
Hardest to Detect Models
AI models with the lowest detection rate by TruthScan.
Arena Performance
Detection by AI Model
Benchmark Methodology
TruthScan was evaluated on a curated dataset of 18 images across 13 AI image generators and 5 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).
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See the Difference
Drag the slider to compare before and after. AI watermarks removed, quality preserved.


Portrait Photo


Street Photography


AI Art


Digital Illustration
What is TruthScan?
TruthScan is an enterprise-grade AI detection platform designed to identify AI-generated images, deepfakes, and manipulated media. The platform claims to protect over 250 million users and offers comprehensive detection across all major AI image generators including DALL-E, Midjourney, Stable Diffusion, and Adobe Firefly.
How TruthScan Works
TruthScan employs a multi-step detection pipeline:
Step 1: Metadata Analysis
- EXIF data examination for camera and editing metadata
- File structure inspection for generation signatures
- Compression artifact analysis comparing real camera output to AI renders
Step 2: OCR Analysis
- Text extraction from images for context
- Confidence scoring on extracted text quality
Step 3: ML Model Analysis
- Deep learning classifiers trained on millions of AI and real images
- Pattern recognition identifying artifacts from diffusion models and GANs
- Heatmap generation showing which regions triggered detection
Key Features
Enterprise-Grade API
TruthScan provides a comprehensive REST API with endpoints for image submission, result querying, and credit management. The API returns detailed JSON responses with confidence scores, forensic metadata, and manipulation analysis.
Multi-Format Support
Supports all major image formats: JPEG, PNG, AVIF, HEIF, HEIC, WebP, GIF, TIFF, and BMP. Also supports video detection up to 4K resolution.
Real-Time Processing
Delivers results in under 500 milliseconds for enterprise deployments, making it suitable for real-time content moderation.
Heatmap Visualization
Generates visual heatmaps highlighting which regions of an image triggered AI detection signals.
Batch Processing
Enables simultaneous analysis of multiple images for high-volume workflows.
Detection Accuracy
TruthScan claims:
- 99%+ accuracy in identifying AI-generated images and deepfakes
- Coverage across hundreds of AI image generation tools
- Multi-step analysis combining metadata, OCR, and ML models
Use Cases
- Enterprise content moderation - Screening user-uploaded content at scale
- Media verification - Authenticating photographs for news and journalism
- Financial fraud prevention - Detecting fake documents and identity fraud
- Social media platforms - Automated AI content screening
- Legal and compliance - Verifying image authenticity for evidence
API Integration
TruthScan's REST API workflow:
- Submit image URL via POST /detect
- Poll results via POST /query with the returned image ID
- Receive detailed analysis including score (1-100), final verdict, confidence level, and optional heatmap
Pricing
TruthScan operates on a credit-based system with enterprise pricing. Contact their sales team for custom quotes based on organization size and volume requirements.
Limitations
- Enterprise-focused pricing may not suit individual users
- API key required for all operations
- Credit-based system requires monitoring usage
- Detection accuracy claims should be verified through independent benchmarks
Our Testing Results
We've evaluated TruthScan against various AI generators and real photograph datasets. View our detailed benchmark comparisons to see how TruthScan performs in accuracy, speed, and reliability across different content types.
Frequently Asked Questions
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