VASTAV AI
Description
️ Name of the tool: 🖼
FASTAVE IPA
Tool Category: 🔖
AI platform for Deepfake Detection & Media Authentication
️ What does this tool do? ✏
Detect deepfakes using advanced computer vision algorithms.
Analyze metadata such as EXIF and camera details.
Detect visual distortions in faces and shadows with Vision Transformers.
Recognize GAN artifacts.
Detailed reporting of scan results (PDF or JSON).
Support for inspection via API, CLI tools, live streaming (RTMP/RTSP), and SDKs for programming languages such as Python and JavaScript.
Cloud & Edge Deployment.
What does the tool actually deliver based on user experience? ⭐
High accuracy (up to 99.7% according to the developer) in recognizing fake content.
Fast processing speed: ~0.8 seconds for an image and ~2.4 seconds per frame of video.
Supports simultaneous scanning of thousands of files using GPU clusters.
Visual reports via heat maps showing areas of manipulation.
Maintains privacy by deleting data immediately after scanning.
May require additional human intervention for very high-quality forgeries.
Does it include automation? 🤖
Yes -
Automatic scanning of content as soon as it is uploaded.
Automated report generation with results and confidence percentages.
Ability to integrate screening directly with content platforms and social media sites.
Support for live streaming video detection.
Pricing model: 💰
There are no public pricing details published.
Pricing will likely depend on the number of scans, volume of data, and speed of response.
🆓 Free plan details:
There is no publicized free plan.
There may be limited trial offers or access via pre-order.
Paid plan details: 💳
Paid plans mostly for businesses and organizations with customization options.
May include consumption-based licenses or monthly subscriptions.
Additional support and customized services available for larger customers.
Method of access: 🧭
Via the official website: vastav.ekoahamdutivnasti.com
Via application programming interface (API) or command line tools (CLI).
Integration with enterprise systems via custom SDKs.
Trial link: 🔗
https://vastav.ekoahamdutivnasti.com/✅