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Gedetecteerd en verwijderd · Rapporten zijn onafhankelijk verifieerbaar
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Ontdek de waarheid achter elke tekst. Gebruik onze gratis AI-detector om direct te analyseren en te verifiëren of content door een mens is geschreven of door AI is gegenereerd.
Upload your suspected JPG, PNG, WebP, or HEIC file. This works for portraits, product shots, illustrations, or reposted social media graphics.
Click the Detect AI button to initiate the process. Choose between a Basic scan for a quick probability check or an Advanced scan for deeper file analysis.
Read the overall AI probability alongside any available watermark, C2PA, EXIF, and file information. Use the combined signals to judge whether the image may be AI-generated, while treating Flux origin as a possibility rather than a confirmed source.
FLUX.2 can produce convincing faces and studio-style portraits. Check a polished profile photo or headshot before trusting the identity behind it, and treat the result as an AI-likelihood signal rather than proof of the exact generator.
Review seller images, catalog shots, and product concepts that may show a Flux-generated product, setting, or variation that never existed before approving a listing or campaign.
Check moodboards, ad concepts, and multi-reference compositions before they are presented as commissioned photography or original campaign production.
Pause before publishing a photorealistic Flux-style visual with news, commentary, or a public claim. Compare the AI probability with the source and any available provenance evidence.
Review delivered illustrations, concept art, and portfolio work when the brief limits generative AI or the creator has not disclosed Flux-assisted generation or editing.
Screenshots, crops, and social reposts often lose EXIF and provenance data. Lynote can still review the image-level AI likelihood while showing which supporting evidence is missing.
Flux workflows can produce complete images, edit existing photos, combine multiple references, render text, and create highly photorealistic visuals. Screenshots and reposts can be checked too, even when their original metadata is no longer available.
Lynote reviews the image-level AI likelihood and any available file evidence. It does not claim exact attribution to a specific Flux model or editing method.
Fully Generated Flux Images
Flux-Edited Photos
Multi-Reference Outputs
Photorealistic Flux Visuals
Flux Images With Text or Labels
Screenshots and Reposted Flux Images
Fully Generated Flux Images
Flux-Edited Photos
Multi-Reference Outputs
Photorealistic Flux Visuals
Flux Images With Text or Labels
Screenshots and Reposted Flux Images
Follow a review path written for images suspected of coming from Flux. The report provides an image-level AI probability without claiming exact attribution to a specific FLUX version.
Run a Basic scan for a quick probability check, or choose Advanced to view file dimensions, EXIF data, and C2PA details if present.
Understand potential risks through a straightforward probability percentage and verdict. We offer a reliable signal rather than claiming guaranteed attribution.
View actual watermark and EXIF data attached to the file. If provenance information is missing, we label it unavailable rather than assuming AI generation.
Reposted images and screenshots often lose their original metadata. Lynote can still analyze the visual content, return an image-level probability, and clearly show which supporting evidence is missing after reposting.
Check images suspected of coming from FLUX.2 editing or multi-reference workflows. Lynote evaluates the complete image without claiming to identify the editing method or highlight specific altered regions.
Treat the AI probability as a supporting signal for human review. Always combine our detection results with context and source verification for final decisions.
Review the probability score, final verdict, available provenance evidence, and file details together in one clear, readable report.
Check if your reference artwork is Flux-generated before incorporating it into your final digital illustrations.
Verify whether a photorealistic news image was likely made with Flux before publishing it in your reporting.
Review viral reposts suspected of Flux generation, even when the original image metadata is already missing.
Review campaign concepts and commissioned visual mockups to see if they were produced or edited with Flux.
Check photorealistic product photos and seller-submitted visuals for AI generation signals before approving a new listing.
Review submitted visual assignments and project images when you suspect a student used a Flux-generated source.
Independent Journalist
A photo was spreading with no source, and it looked almost too perfect. I ran a check before using it. The score did not answer everything, but it told me I needed to keep looking for the original.
Creative Director
One of our moodboards included a few polished product scenes that looked Flux-made. The scan gave us a quick way to flag them and ask the team which images had been generated.
Community Moderator
We see a lot of screenshots and reposts, so the metadata is usually gone. I like that the report says what is missing instead of treating missing data as proof.
Digital Artist
Clients often send me reference images with no source attached. If something looks like a Flux render, I check it before I build on it. That can save an awkward conversation later.
Compliance Officer
We had a submitted campaign image that might have been AI-edited. The report put the score and file details in one place, which made it easier to document why we requested the original file.
Content Publisher
I use it as a second check on cover images and product visuals. If the result is uncertain, we pause the upload and verify the source instead of guessing.
Have questions about our Flux image detector? Find the answers below.
A Flux image detector checks the AI likelihood of an image suspected of being generated or edited with Flux. Lynote provides an image-level probability, while Advanced Scan also displays available watermark, C2PA, EXIF, and file information. The result is a review signal, not proof of a specific Flux model.
Yes, you can check suspected FLUX.2 images. The tool analyzes the file to provide an image-level probability score indicating if it is AI-generated. However, it does not guarantee exact source attribution to the FLUX.2 model specifically.
FLUX.2 supports image editing and multi-reference workflows. Lynote evaluates the AI likelihood of the entire image, but it cannot locate the exact edited regions.
No, we cannot guarantee identification of FLUX.2, FLUX.1, or specific versions. The report provides an image-level probability and available evidence rather than exact source attribution.
No. Missing EXIF data only means the metadata was stripped, which often happens when images are uploaded to social media. It does not prove the image is AI-generated.
Yes, you can check screenshots and reposts. However, taking a screenshot or reposting often removes metadata. The report will evaluate the image probability separately from unavailable provenance evidence.
The Basic Scan provides a quick AI probability score. The Advanced Scan digs deeper, analyzing available watermarks, C2PA data, EXIF details, and file information for a more thorough review.
The report shows an overall AI probability and verdict. It also lists available evidence like watermarks, C2PA credentials, EXIF data, and file information, though not every file contains these details.
You can upload JPG, PNG, WebP, and HEIC image files for detection.
No. The detection provides a probability signal, not absolute proof. For high-stakes decisions, you should combine our results with source verification, context, and human judgment.
Yes. A watermark is only one possible source signal in Advanced Scan. Its absence does not mean the image is real; review the image-level probability together with the source, context, and any other available evidence.
This specific tool is designed for users who already suspect an image comes from a Flux model. The general AI image detector is better when the source is completely unknown or involves multiple generators.
