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AI Detector & AI Checker

A single AI image detector that covers every major generative model in production today: Midjourney v5, v6, v7, DALL-E 3, Stable Diffusion XL, Flux.1, Adobe Firefly, Google Imagen, plus video models like Sora and Runway. Continuously updated so new releases never slip through the net.

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10 free analyses. No credit card required.

🔬Multi-model AI detection 📜C2PA-compatible certification ⛓️Solana blockchain anchoring 🗄️Arweave 200+ year storage

Detection, certification and permanent storage in one tool — instead of stitching four vendors together.

Why a Multi-Model AI Image Detector Matters

Single-model detectors age fast. A tool trained on Stable Diffusion 1.5 is blind to Flux.1. A GAN-era detector misses everything diffusion has shipped since 2022. The only honest approach is continuous coverage across the full landscape of generative models, benchmarked against each new release. CHECKHC's AI detector is built that way: eight major families tracked today, retrained within weeks of every significant model drop, and calibrated so scores stay comparable as the underlying generators evolve.

34M+
AI images generated every day (Adobe, 2024)
8
Major generative model families covered
+550%
Growth in deepfake content since 2023 (Sumsub 2024)

How Multi-Model AI Detection Works

Every generative model leaves a distinctive statistical trace. Our AI detector inspects each upload through four parallel layers that together cover the full catalogue of image and video generators shipped in the last three years, including the latest 2025 releases.

🎨

Midjourney Signature Analysis

Midjourney v5, v6 and v7 produce distinctive noise patterns in flat regions plus unnaturally regular lighting gradients. Our detector measures these micro-signatures across resolutions and flags the specific version that most likely produced the image, with a calibrated confidence score for each branch of the family.

🧠

DALL-E & Diffusion Artifacts

DALL-E 2 and DALL-E 3 leave frequency-domain signatures in the discrete cosine transform plane that survive most compression pipelines. Stable Diffusion 1.5, SDXL and SD3 add their own VAE decoder fingerprints. The detector inspects each frequency band and flags any match against our reference corpus.

⚡

Flux, Firefly & Imagen Coverage

Newer models — Flux.1 Schnell and Pro, Adobe Firefly, Google Imagen — are much harder to flag with older detectors. Our models are retrained on fresh outputs within weeks of every public release, so Flux.1 and Firefly content is covered today rather than in six months.

🎬

Video Model Detection

Sora, Runway Gen-2 and Gen-3, Luma Dream Machine, Kling and Vidu each have their own temporal fingerprints: incoherent micro-expressions, unnatural blink rates, drifting facial landmarks. The video branch of the detector inspects frame-to-frame coherence and DCT residuals on keyframes.

Who Uses the CHECKHC AI Detector

🎨

Creative agency

Your art director needs to confirm that every asset delivered by freelancers is genuinely original. Before publishing a campaign for a luxury client, the team runs every visual through the AI detector. Two illustrations come back flagged as Midjourney v6; the freelancer is re-briefed and the campaign ships with provably human work, protecting the brand from post-launch accusations of undisclosed AI usage.

🛡️

Content platform moderation

A stock art marketplace accepts submissions from thousands of artists. Its content policy bans undisclosed AI uploads. The platform integrates the CHECKHC AI detector API into its ingestion pipeline, scoring every submission automatically and routing suspect items to human review. Volume drops to sustainable levels and the catalogue regains credibility with professional buyers.

🧑‍💼

HR background check

A recruiter receives a CV from a candidate for a remote senior role. The profile photo looks slightly off: the AI detector flags it as Flux.1 with high confidence, and a reverse image check reveals the headshot does not exist anywhere else on the open web. The interview is cancelled before time is wasted on what was almost certainly a deepfake identity fraud attempt.

Why CHECKHC Stands Alone

Every other tool covers one piece of the pipeline. CHECKHC covers the whole flow — so you stop juggling vendors and stop hoping their answers line up.

 
AI Detection
C2PA Certification
Public Blockchain
200+ Year Storage
Detection-only tools
Hive, Sensity, Reality Defender
✓
—
—
—
Capture-focused tools
Truepic, IPTC capture apps
partial
✓
—
—
NFT/art certification
Verisart, Numbers Protocol
—
—
✓
partial
CHECKHC
✓
✓
✓
✓

Functional comparison only. Pricing is published live on the dashboard because anchoring costs follow market rates.

Run Your First AI Detection Now

Upload any image or video. Get a calibrated multi-model score in seconds, with a heatmap of suspect regions and a downloadable PDF report.

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10 free analyses • Individual plans → • Business plans →

Frequently Asked Questions

Which AI models can CHECKHC detect?+
The detector covers the full catalogue of widely deployed generative models: Midjourney v5, v6 and v7, DALL-E 2 and DALL-E 3, Stable Diffusion 1.5, SDXL and SD3, Flux.1 Schnell and Pro, Adobe Firefly, Google Imagen, plus emerging Asian models. For video we add Sora, Runway Gen-2 and Gen-3, Luma Dream Machine and Kling. Each family is benchmarked separately so the score you see for a Midjourney image is directly comparable to the score for a Flux.1 image. The reference corpus is refreshed continuously rather than frozen at release.
How does multi-model AI detection work technically?+
Three layers run in parallel. First, a feature-map inspector looks at CNN activation patterns that differ between camera sensors and generative decoders. Second, a frequency-domain analyser checks the discrete cosine transform and wavelet bands for residuals specific to each generator family — VAE fingerprints for diffusion, GAN noise signatures for older models. Third, a semantic coherence check looks at anatomy, lighting physics and reflections. The three scores are then fused by a calibration head that outputs a single probability between 0 and 100, along with a heatmap of suspect regions.
Can it detect lightly edited or post-processed AI images?+
Yes, within limits. Resizing, cropping, JPEG recompression and minor colour grading typically cost five to twelve points of confidence but the image remains flagged. Inpainting and heavy stylisation are harder: if only part of the image is AI-generated, the detector returns a segment-level score and highlights the suspect regions on the heatmap. Upscaling with a secondary AI model (Topaz, SUPIR) can mask the original generator's signature. We recommend combining detection with C2PA provenance or blockchain certification whenever authenticity is legally or editorially critical.
How often are detection models updated?+
Our reference corpus is refreshed continuously rather than on a fixed annual schedule. When a new model ships — Flux.1 in August 2024, Midjourney v7 in Q1 2025, Sora public access in late 2024 — we collect samples, retrain the relevant branch of the detector and push an update typically within four to eight weeks. Customers on Individual and Business plans get every update automatically at no extra cost. Release notes for each model addition are published on the platform so you can see exactly which versions are currently flagged.
Is there an API for bulk AI detection?+
Yes. Business plans (from 99€/month) include a REST API with authenticated endpoints for image and video submission. You send a file or a URL, receive back a JSON report with the detection score, flagged regions, probable source model and an optional C2PA certification identifier. Rate limits scale with the tier: 300 certifications/month at 99€, 1500 at 299€, 10 000 at 999€. Enterprise contracts offer higher volumes, dedicated endpoints, SLA guarantees and white-label delivery of PDF reports for integration into your workflow or CMS.
What's the difference between detection and blockchain certification?+
Detection is reactive: you upload a file and ask whether it is AI-generated. Blockchain certification is proactive: you upload an authentic file you want to protect, and CHECKHC anchors a SHA-256 hash on Solana plus a permanent Arweave copy. Later, anyone can verify that exact file existed at that exact moment, untampered. Detection protects you from being fooled by synthetic content. Certification protects your own genuine work from being falsely accused of being AI-generated — an increasingly common problem for photographers, illustrators and journalists since 2024.
Can the AI detector be fooled?+
No detector is perfect, and we will not pretend otherwise. Adversarial post-processing, chained model passes, aggressive inpainting and physical rephotographing (printing then scanning) can all degrade accuracy. Targeted attacks designed specifically to evade one detector can drop confidence below the useful threshold. This is exactly why we recommend using detection together with C2PA provenance metadata and blockchain certification: where an attacker might evade a classifier, they cannot retroactively publish a SHA-256 hash on a timestamped blockchain. Defence in depth is always stronger than any single technique.
How does CHECKHC compare to Hive or Illuminarty?+
Hive and Illuminarty are strong detection-only products. CHECKHC adds two layers on top: first, membership in the C2PA (Coalition for Content Provenance and Authenticity) standard, with native generation of C2PA-compliant manifests; second, blockchain anchoring on Solana plus permanent archival on Arweave for genuine content you want to protect long-term (200+ years). For a creative agency or a newsroom, that combination means you can detect incoming fakes AND prove the authenticity of your own output in a single account, without juggling multiple vendors. Pricing is comparable at the Individual tier and more competitive at volume.

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