Question 1

What is forgery detection and how does ImgAuth work?

Accepted Answer

Forgery detection is the process of identifying tampered or altered images and documents. ImgAuth.com is a professional forgery detection tool powered by AI that detects image tampering and forgery in certificates, invoices, documents, and other image formats. Our forgery detection system uses deep neural networks and cross-modal analysis technology to identify various tampering methods including cut-and-paste, content replacement, local smudging, and forgery repair. The tool provides heatmap visualization to clearly mark tampered regions, making it perfect for financial risk control, government verification, insurance claims, and logistics risk management.

Question 2

Is the forgery detection service free?

Accepted Answer

Our forgery detection website offers flexible pricing options to suit different needs. We provide subscription plans (monthly, quarterly, and yearly) for unlimited forgery detection processing, as well as a Credits system for occasional users. Every new registered user receives 3 free Credits to try our forgery detection service. Each image processed consumes 1 Credit. Credits can be earned by referring other users to our platform or through migration from our previous system for existing customers. Subscribers enjoy unlimited forgery detection without credit consumption. Due to development and operational costs, we cannot offer unlimited free usage beyond the initial trial credit.

Question 3

Which image formats are supported for forgery detection?

Accepted Answer

We support common image formats (JPG, PNG, JPEG) and PDF documents for forgery detection. For the best PDF processing experience, we've created a dedicated PDF forgery detection page where you can upload PDF files directly, select specific pages to process, and download the forgery detection results with heatmap visualization.

Question 4

What scenarios is forgery detection applicable to?

Accepted Answer

Forgery detection is applicable in various scenarios: In finance, banks use forgery detection to detect tampering in ID cards, income certificates, and bank statements during account opening and loan approval. In government, officials use certificate forgery detection to verify the authenticity of documents submitted for various services. In insurance, companies use invoice forgery detection and document forgery detection to detect tampered invoices and claim documents to prevent fraud. In logistics, companies use forgery detection to verify the authenticity of shipping documents and certificates.

Question 5

How do I use the forgery detection tool?

Accepted Answer

Simply upload an image of your document, certificate, or invoice to imgauth.com, and our AI forgery detection system will automatically analyze and detect any tampering or forgery. Within a few seconds, you'll receive a detailed forgery detection report showing whether the image has been tampered with, along with a heatmap visualization marking the tampered regions.

Question 6

Is my data secure when using forgery detection?

Accepted Answer

You can use our forgery detection service with confidence. We have a strict privacy policy and will not disclose your data. Your uploaded images are automatically deleted after forgery detection processing and are not stored on our servers. We do not use your data for training purposes.

Question 7

How long does forgery detection take?

Accepted Answer

Forgery detection processing time depends on various factors including server workload, image size, and network quality. Typically, our forgery detection system takes about 5 to 10 seconds to process an image. Please be patient while waiting for the forgery detection results.

Question 8

How accurate is the AI forgery detection?

Accepted Answer

Our AI forgery detection achieves 95%+ accuracy at detecting tampering and forgery in most standard document scenarios. The forgery detection tool supports detection of various tampering methods including cut-and-paste, content replacement, local smudging, and forgery repair. Forgery detection accuracy may vary with image quality, tampering method, and image complexity. For best forgery detection results, use clear images (200+ DPI) and ensure good image quality.