About
Deepware Scanner is a specialized AI tool built to identify deepfake and synthetically manipulated content in video and audio media. Developed by Deepware AI, headquartered in Bilkent Cyberpark, Ankara, Turkey, the platform leverages cutting-edge computer vision and audio analysis models to flag fabricated or altered content with high accuracy. Users can interact with the scanner directly through the web interface by submitting a video link or uploading a file. The tool then processes the media and returns a detection result indicating the likelihood that the content is a deepfake. This makes it accessible to journalists, researchers, content moderators, and general users who need a quick authenticity check. For developers and enterprise clients, Deepware also offers an API, enabling integration of deepfake detection capabilities into existing platforms, pipelines, or content moderation workflows. This is particularly valuable for social media platforms, news organizations, and security-conscious businesses that need scalable, automated verification at volume. Currently in beta, Deepware Scanner represents a growing category of trust and safety tools aimed at combating the spread of synthetic media. Its dual-channel detection (visual + audio) gives it an edge over tools that only analyze one modality, making it more robust against sophisticated deepfake techniques that alter both face and voice.
Key Features
- Deepfake Video Detection: Analyzes uploaded or linked videos to determine the probability that the content has been synthetically generated or manipulated.
- Dual Visual & Audio Analysis: Examines both the visual (face/body) and audio (voice) channels of a video for signs of deepfake manipulation, making detection more comprehensive.
- URL & File Upload Support: Accepts video input via direct URL submission or file upload, making it flexible for a wide range of use cases.
- Developer API Access: Provides a dedicated API so developers and businesses can integrate deepfake detection into their own platforms and automated workflows.
- Fast Scan Results: Returns detection results quickly, enabling near real-time content verification for individuals and content moderation teams.
Use Cases
- Journalists and fact-checkers verifying the authenticity of viral video content before publication
- Social media platforms integrating the API to automatically flag potentially deepfaked user-uploaded videos
- Cybersecurity teams investigating synthetic media used in fraud or disinformation campaigns
- Researchers and academics studying the spread and characteristics of deepfake content online
- Enterprises protecting brand and executive reputation by detecting AI-generated impersonation videos
Pros
- Dual-Channel Detection: Analyzes both video and audio for manipulation, offering broader coverage than single-modality detectors.
- Easy to Use: Simple web interface requires no technical knowledge — just submit a link or upload a file to get results.
- API Availability: The API enables scalable, automated deepfake detection for businesses and developers building trust and safety tools.
Cons
- Currently in Beta: The platform is still in beta, meaning detection accuracy and feature stability may not yet be at production-grade levels.
- Limited Transparency on Accuracy Metrics: The public-facing site does not prominently publish false positive/negative rates or benchmark results, making it hard to assess reliability independently.
- Uncertain Pricing for API: API pricing details are not clearly documented on the public site, which may be a barrier for teams evaluating integration costs.
Frequently Asked Questions
Deepware Scanner is designed to detect deepfake and synthetically manipulated content in video files, analyzing both the visual (facial/body) and audio (voice) components of the media.
You can either paste a video URL into the scanner interface or upload a video file directly from your device. The tool will then analyze it and return a deepfake detection result.
The web-based scanner appears to be available for free use. An API is also offered for developers and businesses, which may have separate pricing for higher-volume or commercial usage.
Yes, Deepware provides an API that allows developers and organizations to programmatically submit videos for deepfake analysis and integrate detection capabilities into their own products or workflows.
It is designed for a wide range of users including journalists verifying media authenticity, content moderators on social platforms, cybersecurity professionals, researchers studying synthetic media, and businesses needing automated deepfake detection.