DuckDuckGoose DeepDetector
DuckDuckGoose DeepDetector analyzes images and videos for AI-generated media, face swaps, and other manipulation.
What DuckDuckGoose DeepDetector is
DuckDuckGoose DeepDetector analyzes images and videos for AI-generated media, face swaps, and other manipulation. It is offered through web, API, and self-hosted deployments, including on-premise use. Forensic classifiers examine facial and temporal inconsistencies alongside GAN and diffusion fingerprints. Results include a manipulation heatmap, confidence score, and forensic evidence for review and audit. Teams can place it alongside existing KYC, document verification, or liveness services using the described API and SDK, or run screening before or alongside other checks and scan existing accounts later. Its API workflow involves uploading a file through a presigned S3 URL, starting an analysis, and polling for the result. The company says data can stay within the EU and describes the platform as GDPR-native, aligned with EU AI Act transparency and risk obligations, and supportive of NIS2 and eIDAS 2.0 workflows. Phocus provides a web option for checking images, video, and audio with an exportable audit trail. The paid service has pricing on request.
Good
- Provides heatmaps, confidence scores, and forensic evidence.
- Supports web, API, and self-hosted deployment.
- Can run alongside existing verification providers.
- Phocus checks images, video, and audio.
- Offers a free signup and limited free trials.
Watch out
- Paid pricing is available only on request.
Who it suits
It suits identity, fraud, and compliance teams working on KYC and onboarding, as well as organizations handling insurance claims, border control, or media forensics. Teams seeking on-premise deployment or EU data residency may also find its deployment options relevant.
Verdict
DeepDetector is aimed at teams that need to examine image and video authenticity within identity, compliance, or media workflows. Its review evidence, deployment choices, and integration options are central considerations; pricing requires an inquiry.
The facts
Each one read from DuckDuckGoose DeepDetector's own pages, with the date it was checked.
What it does
- API workflow
- The API guide describes uploading a file through a presigned S3 URL, starting an analysis request, and polling for its result.checked 7 Oct 2026
- Compliance
- The company says the platform is GDPR-native and aligns with EU AI Act transparency and risk obligations while supporting NIS2 and eIDAS 2.0 workflows.checked 7 Oct 2026
- Deployment
- The maker says DeepDetector is available on-premise and can be deployed with data kept in the EU.checked 7 Oct 2026
- Deployment and data residency
- The company says data can be kept within the EU or the product can be deployed fully on-premise.checked 7 Oct 2026
- Detection methods
- DeepDetector uses forensic classifiers to inspect facial and temporal inconsistencies and GAN and diffusion fingerprints.checked 7 Oct 2026
- Evidence
- Its results include a manipulation heatmap and confidence score to help teams review and audit a verdict.checked 7 Oct 2026
- Explainable results
- Its verdicts include a manipulation heatmap, confidence score, and forensic evidence that teams can audit.checked 7 Oct 2026
- Integration
- The company describes a drop-in API and SDK that can work alongside existing KYC, document verification, or liveness providers.checked 7 Oct 2026
- Integration patterns
- The product page describes parallel checks, screening before other checks, and retrospective scans of existing accounts.checked 7 Oct 2026
- Media support
- The company describes Phocus as a web platform for checking images, video, and audio, with an exportable audit trail.checked 7 Oct 2026
- Model coverage
- DuckDuckGoose says DeepDetector is continuously retrained against more than 40 image and video model families.checked 7 Oct 2026
- Performance
- The maker reports image and video verdicts in under a second and publishes benchmark results ranging from 96.5% to 98.1% accuracy on named datasets.checked 7 Oct 2026
- Pricing
- The pages opened did not state a DeepDetector price; the site directs interested buyers to contact the company or book a demo.checked 7 Oct 2026
- Purpose
- DeepDetector analyzes images and videos to detect AI-generated media, face swaps, and other manipulations.checked 7 Oct 2026
- Security and privacy
- The company says it is GDPR compliant, hosts data in the EU, and has ISO 27001 and SOC 2 Type II certifications in progress.checked 7 Oct 2026
- Support
- DuckDuckGoose offers a 30-minute product demo using a customer's KYC data.checked 7 Oct 2026
- Target users
- The product is positioned for identity, fraud, and compliance teams, including KYC and onboarding workflows.checked 7 Oct 2026
- Use cases
- The product is positioned for identity verification, KYC onboarding, insurance claims, border control, and media forensics.checked 7 Oct 2026
- What it does
- DeepDetector provides real-time AI-powered deepfake detection for images and videos, including on-premise deployment.checked 7 Oct 2026
The company
- Founded
- 2020checked 28 Sep 2026
- Headquarters
- The maker's about page identifies the Netherlands as its founding location but does not specify a headquarters.checked 7 Oct 2026
- Maker and founding
- DuckDuckGoose says it was founded in the Netherlands in 2020.checked 7 Oct 2026
Money
- Free access
- The site links to a free Phocus signup, and its technology page says it offers limited free trials; it does not state trial duration.checked 7 Oct 2026
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