AI Image Detector.info
Overview
- Make confident decisions about image authenticity by seeing each detection model's vote side-by-side, enabled by four independent AI-detection models with a published weighted-vote rule.
- Trust your results even when models disagree, because the tool reports conflicts instead of hiding them, delivering transparent evidence from every engine.
- Screen large volumes of images in minutes by analyzing up to 50 images at once, powered by parallel multi-signal forensic screening.
- Eliminate guesswork from AI image detection with graded conclusions ranging from AI-generated to real, providing nuanced authenticity verification instead of a binary answer.
- Override all detection models with certainty when file evidence exists, thanks to C2PA credential and generator self-tag verification that takes precedence.
- Streamline bulk image review with triage summaries and CSV exports, turning simultaneous analysis of 50 images into organized, sortable reports.
- Get started without upfront cost by running a full report using all signals with 3 welcome credits, offering free AI image detection for initial verification.
Pros & Cons
Pros
- Cross-checked via weighted-vote rule
- Detailed evidence presentation
- Reports disagreement of models
- Multi-signal forensic screening
- Can analyze 50 images at once
- Graded conclusions provided
- Verifies C2PA credentials
- Verifies generator self-tags
- Versatile application use
- Supports JPEG, PNG, WebP
- Screens up to 50 images
- Allows bulk image screening
- Can work with diverse users
- Promotes transparency in process
- Incorporates generator fingerprints
- Three welcome credits on sign-up
- Supports new generators monthly
- Shares results attributed by name
- Reports include SHA-256 of image
- Caters to digital art verification
- Aids in profile photo validation
- Assists in dating app safety
- Helps with editorial research
- Facilitates marketplace security
- Supports educational use
- Detects viral image verification
- Supports social media images
- Helps in image dispute resolution
- Ensures tech and online security
Cons
- Limited to 50 images
- Only three image types
- Files size limited to 12MB
- Paid plans necessary for volume
- Per report cost could increase
- Doesn't provide a certainty percentage
- Charges for nonperforming engines
Reviews
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❓ Frequently Asked Questions
The AI Image Detector validates the authenticity of images through a rigorous process that employs four independent AI-detection models. These models are cross-checked via a published weighted-vote rule to discern if an image is AI-generated or real. In case of disagreement amongst the models, the differing results are reported instead of being suppressed.
The exact names of the independent AI-detection models are not specified on their website. However, it mentions usage of commercial models like Sightengine, GenAI, Winston AI, and an open-source model known as SAFE (KDD 2025).
The AI Image Detector ensures transparency by giving the evidence from each engine's vote. Instead of providing single aggregate percentages, it shows the weighted voting result of each independent detection model. Each of the four detection models votes with published weights and every vote is shown by name. If there is a disagreement, it is reported rather than hidden.
When there is a disagreement among the independent engines, the AI Image Detector reports it. This reporting, instead of suppressing, conflicts or disagreements, leads to increased transparency and honesty in the grading of an image's authenticity.
The multi-signal forensic screening capacity of the AI Image Detector highlights its ability to concurrently process and analyze multiple images, with up to 50 images being analyzed at once. This is achieved through the independent operation of its detection models which run in parallel.
The AI Image Detector can analyze up to 50 images at once. This bulk screening efficiency is beneficial for users who need to authenticate a large volume of images in minimal time.
'Graded conclusions' in the context of AI Image Detector refers to the final decision about an image's authenticity. Instead of categorizing an image as simply real or fake, the detector provides a spectrum of possibilities ranging from AI-generated to real. This spectrum allows for nuanced reporting and better integrity of results.
C2PA credentials and generator self-tags in the AI Image Detector act as the ultimate deciding factor in image authenticity. These are checked first and when certain, they override every model's decision, making them fundamental to the final determination of the image's originality.
The AI Image Detector is commonly utilised in applications ranging from verification of profile and dating photos, digital art, product and listing photos, to news and viral images, and even social media reposts.
The AI Image Detector can verify a wide gamut of images. This includes profile and dating photos, digital art, product and listing photos, news and viral images, and even social media reposts.
The AI Image Detector caters to a diverse array of users. This includes safety providers for dating and online marketplaces, educators, artist communities, and editorial research entities.
Yes, the AI Image Detector does provide free reports. Users are given 3 welcome credits upon sign-up, which allows them to run a full report for free initially.
The AI Image Detector supports JPEG, PNG, and WebP image formats for analysis.
The AI Image Detector provides evidence related to the authenticity of an image. This is presented as votes from each of the four independent AI-detection models, promoting transparency. In a report, the evidence from each engine's vote is laid out side by side for clear comparison.
For handling bulk image screening, the AI Image Detector enables the simultaneous analysis of up to 50 images. Moreover, it provides a triage summary and CSV files for easier review and sorting.
The authenticity of an image is decided by the AI Image Detector through a process involving several steps. First, it checks C2PA credentials and generator self-tags before running the four independent AI-detection models. Each model's vote is weighted and considered. If there is a disagreement amongst the models, it is reported and shared with the user.
Yes, the results from the AI Image Detector can be trusted because of its transparent and rigorous process. It uses multiple independent detection models, and any disagreement amongst the models is reported rather than hidden. Moreover, deterministic file evidence takes precedence over all models when present.
The 'weighted-vote rule' in the AI Image Detector represents the process of cross-checking the four independent AI-detection models under a predefined weighting system. Each model's vote is considered and weighted before being compiled, promoting balance and fairness.
The AI Image Detector provides evidence rather than a single percentage to promote transparency. By presenting the evidence from each engine's vote, users can see each engine's input and ensure that no hidden conflicts exist between them.
Yes, the AI Image Detector offers pricing plans for its use. A free plan that provides a single full report using all signals is available. For higher volumes, the Pro plan costs $19/month and grants 300 reports per month, while the Team plan cost $59/month and offers 1500 reports per month for larger teams. The plan cost includes priority support and shared workspace history in addition to the features of the free plan.
Pricing
Pricing model
Free Trial
Paid options from
$19/month
Billing frequency
Monthly
