Free Image Fact Checker — AI or Real?

BSmeter uses a multi-layered approach to detect AI-generated images. It analyzes pixel-level artifacts common in generative AI models — such as frequency domain patterns, color distribution anomalies, and structural inconsistencies. It specifically checks for AI fingerprint patterns from DALL-E, Midjourney, Stable Diffusion, Adobe Firefly, and other popular generators. The analysis also examines metadata, compression artifacts, and contextual plausibility to determine if an image was AI-generated.

Yes. BSmeter identifies common photo manipulation techniques including cloning (copy-pasting parts of the image), splicing (combining elements from multiple photos), content-aware fill edits, airbrushing, and perspective distortions. It checks for inconsistent shadows, lighting mismatches, edge artifacts where elements were composited, and JPEG quality differences that indicate portions of the image came from different sources.

Absolutely. When you submit a video for fact-checking, BSmeter extracts key frames from the video and analyzes each one for manipulation, AI generation, and contextual authenticity. This includes checking for deepfake face swapping, AI-generated backgrounds, frame interpolation artifacts, and audio-video synchronization issues that indicate a manipulated video.

Yes — BSmeter is completely free for basic image fact-checking. Upload an image or paste a URL on bsmeter.ai and get instant authenticity analysis with credibility scores and detailed evidence. The Chrome extension adds one-click image analysis directly on any webpage. Premium plans ($8.99/mo) add unlimited analyses, batch image processing, and detailed forensic reports.

Reverse image search tools like Google Images tell you where an image appears online, but they don't tell you whether the image itself is authentic. BSmeter goes beyond reverse search — it performs pixel-level analysis for AI generation fingerprints, manipulation detection, metadata forensics, and cross-references with known fact-check databases. Where a reverse search might show you 50 websites using the same image, BSmeter tells you which version is the original and which ones have been altered.

Yes. BSmeter detects face-swapped images and deepfake portraits by analyzing facial landmarks, skin texture consistency, hair-edge transitions, ear symmetry, eye reflection patterns, and lighting on the face. It checks for the telltale 'uncanny valley' artifacts that even advanced face-swapping models still produce, including mismatched skin tones, blurring at face boundaries, and inconsistencies in eye reflections between the left and right eye.

Screenshots are one of the most commonly faked image types in misinformation. BSmeter specifically analyzes screenshots for signs of fabrication — checking font rendering against known system fonts, verifying that timestamps and dates are internally consistent, looking for UI element misalignment, and checking for compression artifacts that differ between the text and background areas. It can identify fabricated social media posts, fake news article screenshots, and edited text message conversations.

BSmeter's image analysis accuracy varies by manipulation type. For AI-generated images, detection rates exceed 90% for current-generation models. For photo manipulation, detection rates are 85-95% depending on the sophistication of the edit. For contextual misinformation (real image in wrong context), accuracy depends on the availability of reference databases. As with all automated analysis, BSmeter provides evidence-based assessments rather than definitive judgments — always use critical thinking alongside the analysis.