Best AI Image Detectors

Best Paid AI Image Detectors

Hive AI Detection

Hive AI Detection is a scalable, enterprise-grade solution designed to detect synthetic and manipulated visuals in both images and video. Using advanced computer vision algorithms, it analyzes metadata, pixel-level artifacts, and contextual anomalies to flag AI-generated or altered content. Hive’s API supports real-time batch processing of common file formats like JPEG, PNG, and MP4, making it ideal for social media platforms, publishers, and ad networks that handle massive volumes of multimedia. The platform includes customizable moderation thresholds, auto-flag workflows, and analytics dashboards, which empower trust-and-safety teams to efficiently identify misinformation and visual deepfakes before they spread.

Sensity AI

Sensity AI offers a forensic-grade detection engine to identify synthetic media, including deepfakes, face-swaps, and AI-spawned imagery. Built with deep-learning pipelines, the platform can continuously monitor feeds, send threat alerts, and provide detailed audit logs. Its enterprise tooling is trusted by financial services, government agencies, and cybersecurity teams to tackle identity fraud, misinformation campaigns, and scam attempts with remarkable accuracy and a low false-positive rate.

Deepware Scanner

Deepware Scanner specializes in detecting deepfake visuals and tampered media, with particular strength in facial analysis and motion inconsistencies. While suitable for still-image scans, its greatest value lies in analyzing video content and detecting subtle authenticity issues. Available via a self-hosted API and custom enterprise plans, Deepware is used by newsrooms, law enforcement, and research institutions that require trusted workflows for forensic inspection and media integrity validation.

Metaphysic Detect

Metaphysic Detect focuses on identifying synthetic or impersonated faces in images. Leveraging proprietary deep neural network models, it can distinguish between real photography and CGI with high precision. The tool displays visual heatmaps highlighting suspicious regions, and its enterprise SDK supports large-scale batch processing, making it ideal for media companies, legal teams, or anyone verifying identity authenticity in still portraits or media assets.

Truepic

Truepic ensures authenticity directly at the point of capture by securing image metadata and embedding cryptographic seals into the file. Instead of detecting AI retrospectively, it verifies that an image originated from a trusted device or app in real time. Used widely in insurance, journalism, and legal industries, the platform’s SDKs and mobile applications support verifiable claims, ensuring images are unaltered and reliable under scrutiny.

Best Free AI Image Detection Tools

Sightengine AI Image Detector

Sightengine’s AI Image Detector delivers a fast, intuitive way to identify whether images are AI-generated using models like Midjourney, Stable Diffusion, or DALL·E. Using a web portal or API, it provides a percentage-based likelihood score and metadata details when available. The free tier offers a limited number of daily scans, making it ideal for journalists, educators, or occasional users seeking reliable image verification without cost. Output is provided in seconds, supported by confidence metrics and metadata readouts—making it both practical and transparent for content moderation or quick authenticity checks.

Isgen.ai

Isgen.ai provides a model-level image detector that identifies not just whether an image is AI-generated, but also attributes it to the likely generator—such as Flux.1, GPT-4o, or Adobe Firefly. No sign-up is required; it delivers instant, single-image analysis with a confidence score. While bulk scanning isn't supported, its clarity and precision make it useful for artists, curators, or fact-checkers needing quick attribution and model insight.

WasItAI

WasItAI is a lightweight, browser-based image checker that quickly identifies if visuals were AI-generated by common tools like Midjourney or DALL·E. It features drag-and-drop support and instant result feedback, with no registration required. While its detection accuracy is basic compared to premium tools, it’s ideal for casual users seeking fast, frictionless verification during social browsing or content review. Early adopters consider it a great starting point for authentication checks.

Hugging Face: Mirage‑Photo‑Classifier

The Mirage‑Photo‑Classifier on Hugging Face is an open-source AI detector trained with a binary classification model to distinguish real from artificially generated images. With nearly 95% accuracy on benchmark datasets, it supports research-level analysis that developers and analysts can deploy via the Hugging Face Inference API or local setup. While slower and less user-friendly than commercial tools, it offers full transparency with a model card, code access, and performance metrics—ideal for experimentation, learning, or custom detection pipelines.

TinEye Reverse Image Search

TinEye isn’t an AI detector in the traditional sense, but its reverse image search excels at tracing image provenance. By indexing billions of images, it reveals where an image first appeared and whether it’s been shared, edited, or manipulated over time. While it doesn't flag AI-generated content directly, TinEye is a powerful complementary tool for journalists, investigators, and educators aiming to verify an image’s authenticity based on its history.