About EyeSift
EyeSift is a professional AI detection platform that uses statistical pattern analysis to detect AI-generated content across multiple modalities.
In today's digital landscape, the proliferation of AI-generated content from large language models like GPT-4, Claude, and Gemini has created
an urgent need for reliable detection tools. Our platform addresses this challenge by providing transparent and scientifically-grounded analysis.
Our technology analyzes linguistic patterns, statistical anomalies, and structural characteristics that distinguish AI-generated content from
human-created content. We provide honest 75-85% typical accuracy rates, reflecting the current state of AI detection technology. Unlike competitors
who claim unrealistic accuracy rates, we believe in transparent communication about both the capabilities and limitations of our tools.
EyeSift serves educators, content creators, journalists, researchers, and businesses who need to verify content authenticity. Our platform supports
text analysis, image forensics, video analysis, and audio detection, making it a comprehensive solution for multi-modal AI content verification.
How AI Detection Works
AI detection technology relies on statistical pattern analysis to identify characteristics common in machine-generated content. Large language models
like GPT, Claude, and other AI systems exhibit predictable patterns in sentence structure, word choice, and content organization. Our algorithms
analyze these patterns using advanced natural language processing and machine learning techniques.
For text analysis, we examine perplexity scores, burstiness metrics, syntactic patterns, and semantic coherence. Lower perplexity often indicates
AI generation, as models tend to choose more predictable words. We also analyze sentence length variation, vocabulary diversity, and contextual
consistency to build a comprehensive profile of the content.
For images, videos, and audio, we employ different techniques including metadata analysis, compression artifact detection, and visual/auditory
pattern recognition. Each modality requires specialized approaches, and our platform integrates multiple detection methods to provide robust analysis.
Our Services
Text Analysis
Our text analysis service uses statistical pattern recognition to detect AI-generated text from models like ChatGPT, Claude, Gemini, and other
large language models. The system analyzes linguistic patterns, vocabulary usage, sentence structure, and semantic coherence to provide probability
estimates. Results include detailed visualizations showing which sections of text exhibit AI-like characteristics, helping users understand the analysis.
Image Forensics
Image forensics examines metadata, compression artifacts, and visual patterns to verify image authenticity. AI-generated images from tools like
Midjourney, DALL-E, and Stable Diffusion often contain subtle artifacts and patterns detectable through forensic analysis. Our tool analyzes EXIF
data, compression signatures, and visual anomalies to assess whether an image was AI-generated or manipulated.
Video Analysis
Video analysis provides comprehensive authenticity verification for video content, including deepfake detection. Our algorithms examine temporal
consistency, facial movements, audio-visual synchronization, and compression artifacts to identify AI-generated or manipulated video content.
This is crucial for verifying news footage, preventing misinformation, and ensuring content authenticity.
Audio Intelligence
Audio detection identifies voice cloning and AI-generated speech. With advances in voice synthesis technology, detecting fake audio has become
increasingly important. Our system analyzes spectral patterns, prosody, and acoustic characteristics to distinguish natural speech from AI-generated
audio, helping protect against voice fraud and audio deepfakes.
Why Choose EyeSift?
Transparent Accuracy: We provide honest 75-85% accuracy rates with detailed explanations of how results are calculated.
Unlike competitors who claim unrealistic detection rates, we believe in transparency about both capabilities and limitations. Every analysis
includes confidence scores and contextual information to help users make informed decisions.
Privacy-First Approach: Your content security matters. We process data locally when possible and never store analyzed content
beyond the session. No third-party data sharing, no permanent storage of your sensitive documents or images. Your privacy is our priority.
Real-time Results: Get instant analysis with detailed visual feedback. Our platform provides immediate results with interactive
visualizations showing exactly which parts of your content exhibit AI-like characteristics. Understanding the "why" behind detection is as important
as the result itself.
Professional Grade Technology: Built on cutting-edge machine learning research and continuously updated to detect new AI models
and generation techniques. Our enterprise-ready platform serves educational institutions, media organizations, and businesses worldwide who need
reliable AI content verification.
Common Questions
How accurate is AI detection?
AI detection typically achieves 75-85% accuracy depending on content type, length, and quality. Accuracy varies because AI models continuously
evolve and some human writing may exhibit AI-like patterns. We provide probability scores rather than definitive answers, and recommend combining
automated detection with human review for important decisions.
What affects detection accuracy?
Several factors influence accuracy: content length (longer texts provide more data), content type (creative writing vs technical documentation),
AI model used for generation, post-editing by humans, and whether the AI was prompted to mimic human writing styles. Mixed human-AI content is
particularly challenging to analyze.
Can AI detection be fooled?
Yes. AI detection is not foolproof. Sophisticated techniques like heavy editing, paraphrasing, or using specialized prompts can reduce detection
accuracy. This is why we emphasize that results are probabilistic estimates, not definitive proof. Detection technology and evasion techniques
evolve in tandem, requiring continuous updates to detection algorithms.
Who uses AI detection tools?
Educators verify student submissions, journalists check source authenticity, content platforms moderate user-generated content, researchers
validate data integrity, and businesses ensure content originality. AI detection serves any field where content authenticity matters.
Important Disclaimer
Note: AI detection uses statistical pattern analysis and provides probabilistic estimates with 75-85% typical accuracy.
Results are not definitive proof and should be combined with human review for critical decisions.
Accuracy varies based on content type, length, quality, and the AI model used for generation. False positives and false negatives can occur.
This tool should be used as one component of a comprehensive content verification process, not as the sole determinant of content authenticity.
Educational institutions and organizations should establish clear policies about how AI detection results are used and interpreted.