PhotoCop.AI is an advanced image forensics tool that uses deep learning to detect digital manipulation in images. It analyzes pixel-level patterns to identify signs of tampering, splicing, or other alterations.

How does the manipulation detection work?

We use a custom deep learning model which analyzes various image characteristics including compression artifacts, noise patterns, and pixel-level inconsistencies. The model generates a heatmap highlighting potentially manipulated regions and provides confidence scores.

What image formats are supported?

PhotoCop.AI supports JPEG, PNG, WebP, BMP, and TIFF formats. The maximum file size is 10MB. For best results, use the original image without additional compression or resizing.

Is my data private and secure?

Yes, privacy is a priority. Images are processed in real-time and are not stored on our servers after analysis. We do not share or use your images for any purpose other than providing the analysis results.

What security measures are in place?

We use end-to-end encryption with HTTPS/TLS 1.3 for all API requests. Your images are encrypted in transit, processed in memory only, and never stored at rest. Our zero-knowledge architecture ensures we cannot access your images. Infrastructure runs on SOC 2 Type II certified Azure with isolated compute instances and automatic memory clearing after each analysis.

Do you keep any records of my uploads?

We only retain analysis metadata (no images) with configurable retention periods of 30-90 days. All audit logs are exportable for your compliance needs. Your actual images are processed in memory and immediately cleared after analysis - we never store them.

What are your data protection guarantees?

We guarantee: No image storage (stream processing only), immediate memory clearing (RAM wiped after each request), no image logging (logs contain metadata only), no AI training (your images are never used for model improvement), and no third-party sharing (your images never leave our infrastructure).

How accurate is the detection?

Our deep learning model has been trained on extensive datasets and we continually work to improve detection across a wide range of manipulation types. No detection system is perfect, and results should be used as a forensic aid rather than a definitive verdict. The confidence scores help indicate the reliability of each detection.

What types of manipulation can be detected?

PhotoCop.AI can detect various types of manipulation including copy-move forgery, splicing (combining parts from different images), inpainting, AI-generated content, and other digital alterations.

Can I integrate PhotoCop.AI into my application?

Yes! We provide a REST API that allows you to integrate our image forensics capabilities into your own applications. Check out the API Documentation section on the website for details on endpoints and usage.

Why might an authentic image show manipulation?

Some image processing operations like heavy compression, resizing, or filters can trigger false positives. Social media platforms often recompress images, which may affect analysis. For best results, analyze original, unprocessed images.

PhotoCop.AI — AI Image Forensics: Detect Deepfakes & Photo Manipulation

Detect deepfakes, AI-generated images, and photo manipulation using Error Level Analysis (ELA), EXIF forensics, and ensemble deep learning models. Get instant results with detailed heatmaps showing potentially altered regions.

Key Features

Instant AI analysis of images for manipulation
Deep learning-based model trained on forensic datasets
Privacy-first: images are never stored
Pay-as-you-go pricing — cents per scan
REST API for integration into your applications

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