Use the original image when possible
Original dimensions and lightly compressed files retain more color, texture, edge, and file information than screenshots from social platforms.
AI image-generation signal screening Text · Image · Video
How can you tell whether an image is AI-generated?
Upload a photo, illustration, or screenshot to screen color, brightness, texture, and edge signals, then verify the original file and provenance.
- Three content types
- AI confidence score
- Evidence you can inspect
AI generation check
Choose the content to inspect
The result includes AI generation confidence and the signals behind it.
Text content
Paste the text you want to inspect
GenDetect checks repetition, sentence length, punctuation, and character structure.
Your text is not saved or uploaded
Image content
Choose a local image
GenDetect checks color, texture, edges, and brightness distribution.
The image is read only on this page
Video content
Choose a local video
GenDetect reads duration, resolution, average bitrate, and container format.
Analysis time depends on file size
Image detection guide
How to tell whether an image is AI-generated
Screen color, brightness, texture, and edge signals first, then check the original file, content credentials, and publishing source. No single anomaly can prove origin.
Review local and global features
Limited color, excessive smoothness, and unusual noise may come from generation, editing, or compression, so visual signals should be considered together.
Check metadata and provenance
A detector score cannot replace the original file, content credentials, author information, or reverse-image search. Use those sources to verify the result.
Detection methods
What signals does AI content detection examine?
Each content type needs a different analysis. GenDetect breaks results into readable clues so you can understand where the score comes from.
AI text detection
Examines vocabulary repetition, recurring phrases, sentence-length distribution, punctuation frequency, and unusual characters. More complete text usually produces steadier statistical signals.
Open text detectorAI image detection
Examines color distribution, brightness contrast, edge gradients, and file characteristics for visual clues such as excessive smoothness or unusual noise.
Open image detectorAI video detection
Combines duration, resolution, average bitrate, and container details for an initial screen, while identifying cases with insufficient evidence.
Open video detectorHow to read the score
Confidence is a signal, not a verdict.
This demo uses explainable local rules to simulate confidence scoring. Low confidence does not prove human authorship, and high confidence alone cannot prove AI generation. Verify the author, publication time, and original source.
Frequently asked questions
AI image detector FAQ
Learn what screenshots and compression remove, which visual signals are checked, and why a specific model such as Midjourney cannot be attributed reliably.
Does a screenshot, crop, or compression affect AI image detection?
Yes. Screenshots, crops, filters, and platform compression change pixels, texture, and edges and may remove metadata. Prefer the original image whenever it is available.
Which visual signals does an AI image detector examine?
This demo examines color distribution, average brightness, contrast, texture, and edge density. Camera processing, editing, or compression can produce similar visual signals.
Can this detector tell whether Midjourney or DALL-E made an image?
Not reliably. This demo analyzes general color, brightness, texture, and edge features. Camera processing, compression, editing, and different generators can produce similar patterns, so it cannot attribute an image to Midjourney, DALL-E, or another specific model, and a high score does not prove generation.