What is WasItAI?
WasItAI AI image detector for identifying AI-generated images and verifying image authenticity.Browser-based image analysis accepts drag-and-drop uploads or image URLs and returns a confidence score and detailed report.
Supports detection across generators including Midjourney, DALL·E, Stable Diffusion, Adobe Firefly, Imagen and GAN-based models.Provides an image analysis API for integration into content moderation, marketplaces, dating apps, media workflows, and KYC/fraud prevention pipelines.
Includes bulk and automated screening options, misclassification reporting, and model updates based on submitted feedback.Processes images up to 8 MB and 10,000 x 10,000 px; screenshots and low-quality images can reduce detection accuracy.
Stores uploaded images for model evaluation and improvement when users opt in during reporting or integration.
WasItAI pricing Freemium
Verify on the official pricing page.
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WasItAI's key features
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AI image detector that identifies AI-generated images and verifies image authenticity
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Browser-based image analysis with drag-and-drop and image URL uploads, returning a confidence score and detailed report
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Detection support for generators including Midjourney, DALL·E, Stable Diffusion, Adobe Firefly, Imagen and GAN-based models
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Image analysis API for integration into content moderation, marketplaces, dating apps, media workflows, and KYC/fraud prevention pipelines
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Bulk and automated screening with misclassification reporting and model updates based on submitted feedback
WasItAI use cases
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Automatically moderate user-uploaded images on marketplaces and social platforms with wasitai's moderation API, scanning uploads in-browser or via URL to detect AI-generated or deepfake content and returning confidence scores and detailed reports to block fraud and enforce content policies
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Audit and verify large image archives and ad creatives using wasitai's bulk/automated screening and URL analysis, flagging synthetic images and generating exportable reports for legal, compliance, and brand-safety teams while sending misclassification feedback to improve detection accuracy
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Support newsroom and verification workflows by analyzing suspect images in-browser or via API, producing confidence scores and forensic reports that help reporters and fact-checkers validate authenticity, trace generation sources, and document findings for publication
Who is it for?
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Api developers
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Research engineers
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Marketplace operators
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Fraud prevention teams
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Content moderators
