DeepScan is a forensic image-analysis platform that combines frequency analysis, vision transformers, diffusion reconstruction, sensor noise forensics, and face deepfake detection into a single REST API.
Each detector targets a different artifact class. Together they catch what single-model classifiers miss — unseen generators, hybrid edits, partial deepfakes.
All seven detectors run in parallel on GPU. Fast enough for real-time content moderation, signup flows, and journalist verification.
Drop-in REST endpoint with JSON responses. Per-detector breakdown, triggered signals, confidence score. Webhook delivery on Pro and above.
The full detection stack — all 7 models, the FastAPI server, the meta-classifier — deployed inside your infrastructure. Your images never leave your servers.
Don't just get a verdict — get the forensic trail. See which detectors triggered, which artifacts they found, and why.
Enterprise tier supports custom model fine-tuning on your dataset — for niche generators, brand-specific deepfakes, or domain-specific imagery.
We're building a deep-dive product page with live demos, sample reports, and integration guides. In the meantime, check our pricing or jump straight to the API docs.