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Upload Media
Submit an image, video or audio file for analysis through the detection interface. The prototype supports major media formats.
AI Security Product
Verify what is real.
Tattva.ai is an AI-powered multimodal deepfake detection system designed to analyze image, video and audio signals through advanced neural and forensic analysis.
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Multimodal Analysis
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Secure Processing
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Zero-Retention Workflow
IMAGE
Vision analysis
VIDEO
Frame analysis
AUDIO
Voice analysis
VERDICT
Confidence score
TATTVA
Neural Forensics
ANALYSIS ENGINE ONLINE
98.5%
ViT image detection accuracy
96.2%
Swin Transformer detection
97.9%
Wav2Vec2-XLSR audio detection
94.5%
ELA forensic analysis
Detection Pipeline
From media signal to forensic verdict.
Tattva.ai combines multimodal neural models and forensic analysis into a structured verification pipeline.
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Neural Analysis
Multiple vision, audio and forensic models examine the media across different detection dimensions.
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Instant Verdict
Receive a confidence-scored result indicating whether the analyzed media is authentic, suspicious or potentially deepfake.
Multimodal Detection
One engine. Multiple media signals.
Analyze visual and audio signals through specialized detection pathways.
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Image Detection
Analyze visual artifacts, generated-image signatures, face-swap inconsistencies and other image-level signals.
ViT + Swin Transformer▶
Video Detection
Examine video content across frames to identify visual inconsistencies and AI-generated manipulation patterns.
Frame-Level Analysis≋
Audio Detection
Analyze spectrograms, zero-crossing rates and prosody anomalies associated with synthetic or cloned voices.
Wav2Vec2-XLSRExplainable Analysis
Don't just get a verdict. Understand the signal.
Tattva.ai's verification experience is designed around confidence, telemetry and forensic indicators rather than a simple binary result.
Detection Telemetry
The system can surface supporting analysis information alongside the final confidence result, helping users understand what was evaluated.
Media Type
Image / Video / Audio
Analysis Mode
Neural Ensemble
Forensic Layer
ELA + Signal Analysis
Result
Confidence Scored
Processing
Secure Pipeline
TATTVA / ANALYSIS TELEMETRY
Live Analysis
Current Classification
SUSPICIOUS
91.4%
Technology Stack
A layered approach to synthetic-media detection.
The prototype combines specialized models and forensic techniques for multimodal analysis.
Vision Transformer
Image-level detection of generated and manipulated visual content.
98.5%
Swin Transformer
Hierarchical vision analysis using shifted-window attention.
96.2%
Wav2Vec2-XLSR
Audio analysis for synthetic and cloned voice detection.
97.9%
Error Level Analysis
Pixel-level forensic analysis of compression inconsistencies.
94.5%
Security & Privacy
Designed around sensitive media.
Deepfake analysis can involve highly sensitive personal and organizational media. Tattva.ai's prototype emphasizes secure processing and short-lived analysis workflows.
Privacy First
Uploaded files are processed securely and, according to the prototype, are not stored permanently.
Secure Processing
The prototype describes an encrypted processing pipeline with isolated analysis containers.
Zero Retention
Uploaded media is designed to be purged after analysis rather than retained as a permanent dataset.
Build trust in a world where seeing is no longer enough.
Explore Tattva.ai for multimodal deepfake detection across image, video and audio.