SilverAIDetect whether an image is likely AI-generated, with a confidence score for moderation pipelines.
AI Image Detection is a content-moderation model from SilverAI that determines whether an image was likely produced by a generative AI system rather than captured by a camera. It analyzes pixel-level patterns, frequency artifacts, and statistical fingerprints that are characteristic of diffusion and GAN-based generators, returning a clear verdict with a confidence score.
The model is built for trust-and-safety, journalism, and platform-integrity workflows where knowing the provenance of an image matters. You simply provide the image as a file upload or URL, and the API responds with whether the content appears AI-generated, making it easy to flag synthetic media, enforce authenticity policies, or route suspicious uploads for human review.
AI-vs-real classification: Distinguishes generative-AI imagery from authentic camera photos with a single call.
Confidence scoring: Returns a probability so you can set your own thresholds for flagging or blocking.
Generator-artifact analysis: Detects the frequency and texture fingerprints left by diffusion and GAN models.
URL or file input: Accepts a direct file upload or a public image URL for flexible integration.
Moderation-ready output: Produces a compact verdict that slots cleanly into automated review pipelines.
Fast single-pass inference: Optimized for high-throughput screening of large upload streams.
Save up to 70% vs direct pricing
Aggregated volume discounts.
Use Cases
Integrate our detection model to automate moderation, prevent fraud, and verify media authenticity at scale.
AI Image Detection API helps social networks, forums, creator platforms, and marketplaces automatically detect AI-generated images uploaded by users. The detection result can be used to label synthetic content, enforce platform policies, or route suspicious uploads for manual review.
Banks, fintech companies, and identity verification providers use AI Image Detection API as an additional fraud-prevention signal. The API can help identify AI-generated profile photos, synthetic identities, and manipulated images submitted during onboarding and verification processes.
AI Image Detection API can be integrated into journalism platforms, fact-checking tools, and media verification systems to assess whether an image is likely generated by AI. This helps organizations review visual content before publication and reduce the risk of distributing synthetic media as authentic photography.
Integration in 3 steps
Integrate the AI Image Detection API into your existing workflow via Snapedit with just a few simple steps. No credit card required to start.
Create your Snapedit account in 30 seconds and receive free credits instantly. No credit card required.
Generate a globally valid Snapedit key with easy management from your dashboard.
Update your Base URL and API key to start calling AI Image Detection with smart routing and cost optimization.
FAQ
Everything you need to know about using the AI Image Detection API through Snapedit.
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