Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
Deepware Scanner is a cybersecurity tool for scanning and detecting deepfake videos. It is positioned as a way to address identity impersonation, public-opinion manipulation, and content-trust risks brought by AI-generated synthetic media. Based on its public documentation, it does not attempt to identify every kind of “fake video”; instead, it focuses on detecting AI-generated facial manipulation, especially deepfake scenarios where a real video is used and the face is later modified or replaced.
The product supports direct scanning through a web platform, and also offers an API and SDK. The web interface is suitable for manually submitting suspicious videos, the API can scan multiple videos at once and be integrated into platforms, and the SDK can be used in offline environments. Its detection workflow focuses on faces in videos. According to official materials, it uses a compromise strategy of around 1 FPS to balance speed and accuracy, and applies face clustering to reduce false-positive noise. It is important to note that it only detects video files; it does not determine whether speech has been synthesized, nor does it cover images, audio, or every type of synthetic media. A single video is limited to a maximum length of 10 minutes, and a resolution of at least 1920×1080 is recommended for better results.
The collected text does not disclose specific pricing, plans, billing methods, or payment options, and there is no visible information on compliance certifications, SLA, data retention policies, or similar items. For enterprise buyers, this is a clear information gap during procurement evaluation. That said, Deepware explicitly provides API keys, an SDK, and consultation for on-premise deployment, suggesting a certain level of platform integration and localized deployment potential. It may be suitable for embedding into content moderation, video-upload risk control, or security analysis workflows.
Its strengths are a clear product focus, specialization in deepfake face detection, and multiple deployment options including Web, API, and SDK. The official messaging also does not overstate its detection capabilities, clearly stating that deepfakes have not yet been fully solved and that results represent probability or likelihood. The drawbacks are also obvious: its detection scope is relatively narrow and does not cover voice synthesis; video length is limited; and public materials lack details on an admin console, alerts, auditing, access control, compliance certifications, and pricing.
Deepware is better suited to media organizations, social platforms, content moderation teams, cybersecurity teams, and organizations that need to assist with verifying suspicious videos in offline environments. Access from China cannot be determined from the available text. During evaluation, users should test connectivity to the official website, Scanner, and API in practice, and confirm whether domestic payment, contracts, and data compliance requirements are supported. For deployment in China, it is also worth comparing local content safety vendors, video moderation platforms, or security service providers with deepfake detection capabilities.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on deepware.ai official site.
deepware.ai is an overseas Security provider. TG4G tracks its product information, an overall rating of 8.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach deepware.ai directly.