AI detection tool for verifying synthetic images, audio, and videos. Identifies AI-generated content and is used for security and identity verification. Trusted by over 200,000 clients globally. Offers free, basic, and custom pricing plans.
Features
Image AI Detector
Analyzes images to determine if they are AI-generated by providing a likelihood score and visual reports.
Audio AI Checker
Detects AI-generated audio by analyzing sound files and providing a likelihood percentage of AI generation.
Video AI Checker
Evaluates videos to ascertain whether they have been generated by AI, giving results similar to image and audio detection.
GenKYC
Verifies identities using AI detection to ensure authenticity, supporting the verification process in various industries.
AI Detection
Analyzes images and determines the likelihood that they are AI-generated, providing a confidence percentage. In this case, it showed that images supposedly endorsing Donald Trump by Taylor Swift are likely AI-generated with 99% confidence.
AI Image Detection
The AI technology analyzes images to determine whether the content is real or AI-generated. It uses metrics such as shading irregularities, pixel inconsistencies, and known AI patterns to provide a likelihood of authenticity.
Authenticity Scoring
Displays a score indicating the probability of content being generated by AI. A higher score suggests the image is more likely human-made, while a lower one indicates AI-generated content.
Detailed Analysis Report
Generates a report that breaks down the elements of the image, such as the percentage of detected shading errors and pixel inconsistencies, to explain the AI's determination of authenticity.
AI-generated Image Detection
Detects AI-generated profile images to differentiate them from real images, enhancing trust and safety in online dating.
Quality Assessment
Evaluates the quality of profile images to ensure they are authentic and suitable for creating genuine connections.
AI Image Identification
This feature allows users to upload images to determine if they were created by AI or captured by a camera. It works by analyzing the image's properties and metadata to decipher its origin.
Image Gallery Examples
Provides users with examples of AI-generated and real photography images to illustrate differences and help users understand the distinctions.
Learning Articles
Provides articles and blog posts about AI photography, including insights on how to identify AI-generated photos and the impact of AI on photography.
Automated Fraud Detection
Uses artificial intelligence to automatically detect fraudulent insurance claims by analyzing patterns and inconsistencies.
Image and Data Analysis
Processes large volumes of claim-related data and images to identify anomalies and potential fraud.
Real-time Alerts
Sends instant notifications to insurance companies about suspicious claims, enabling prompt investigation.
Integration with Existing Systems
Seamlessly integrates with an insurer's current systems and databases for holistic analysis.
Customizable Detection Algorithms
Allows customization of AI algorithms to fit specific industry or company requirements, enhancing fraud detection.
Regulatory Compliance
Both frameworks emphasize the need for regulatory compliance, necessitating businesses to adjust operations to meet new standards.
Focus Areas of AI Regulation
The USA focuses on risk management and ethical AI use, while the EU emphasizes broad accountability and transparency.
Protection Against Harmful AI Deployments
Both frameworks include specific approaches to prevent harmful AI deployments, with the EU focusing on broad application areas and the USA concentrating on specific risks.
Global Consistency and International Standards
The EU seeks alignment with international standards, whereas the USA has specific mechanisms tailored to domestic conditions.
Transparency and Accountability
Transparency is a central theme, with both regions requiring detailed disclosures about AI use.