pulation, but it cannot provide absolute certainty.","falsePositives":"False positives can occur: Authentic images may be incorrectly flagged as AI-generated","falseNegatives":"False negatives can occur: AI-generated images may be incorrectly classified as authentic","indicators":"Results are indicators, not absolute truth: Use our analysis as one factor in your assessment, not the sole basis for conclusions","technology":"Technology evolves rapidly: As AI generation techniques improve, detection methods must continuously adapt. Detection accuracy may vary.","judgment":"Exercise your own judgment: Always consider multiple sources and use critical thinking when evaluating image authenticity","acknowledgement":"By using TagFake, you acknowledge these limitations and agree that the service provides estimated analysis, not guaranteed verification."},"faq":{"title":"Frequently Asked Questions","accuracy":{"question":"How accurate is the detection?","answer":"TagFake combines multiple detection methods to improve reliability, but no detection system is perfect. AI generation techniques evolve continuously, and detectors must adapt - accuracy can vary across image types, generators, and the strength of any post-edits applied. Always interpret a score as a probabilistic indicator rather than absolute truth."},"allAi":{"question":"Can it detect all AI images?","answer":"No detection method can identify all AI-generated images with perfect accuracy. As AI generation models evolve, detection techniques must also adapt. TagFake combines multiple detection methods (frequency analysis, noise analysis, ELA, DIRE, and modern classifier-based detectors) to improve reliability, but some AI images may still evade detection."},"editedPhotos":{"question":"What about edited real photos?","answer":"The SYNTHETIC label covers both AI-generated images and photos that have been substantially altered by hand (for example: beauty-filter retouching, composite edits, generative fill, painterly style transfers). Our detectors look for pixel-level statistical anomalies and cannot reliably tell AI generation apart from heavy manual editing, so we treat both as \"non-authentic\" under a single label. Light adjustments that only re-encode the image - color or exposure correction, resizing, format conversion - are still considered AUTHENTIC."},"outOfScope":{"question":"Out-of-scope content","intro":"Some kinds of images fall outside what our detectors were designed for. Results for the following content types are unreliable and should not be taken at face value:","items":{"screenshots":"Screenshots of user interfaces, web pages, or code","charts":"Charts, graphs, slides, and other diagrammatic images","rendered":"3D-rendered images (both stylized and photorealistic)","collages":"Collages that mix photos and illustrations in one frame","memes":"Memes and other images dominated by overlaid text"},"note":"We do not currently detect these content types automatically, so the analysis page will still produce a score - please interpret the result with extra skepticism when the input looks like one of the above."}}},"analysis":{"failedTitle":"Analysis Failed","failedDescription":"Unfortunately, the analysis failed. Please try again later.","ageRestrictedTitle":"This post is not supported","ageRestrictedDescription":"This post has been age-restricted by X. TagFake does not support analyzing age-restricted posts.","openOriginalPost":"Open the original post on X","detectionResultTitle":"Detection Result","imageType":"Image type","queuePosition":"Position: {position}","waitingInQueue":"Waiting in queue","analyzingImage":"Analyzing image...","estimatedMinutes":"- Estimated: {minutes} min","imageAnalysisTitle":"Image Analysis","originalImageAlt":"Original image","analysisResultsTitle":"Analysis Results","devWeightNote":"Values in (X/Y) show that method's weight for AI Probability (X) and Manipulation Probability (Y), from 0 to 1. PHOTO/ART weights are linearly interpolated

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