FauxLens

FauxLens is a media-authenticity service for people who need to assess images or video, with image cleanup and a developer API alongside detection. It is best suited to occasional checks or workflows that can treat a scan as one signal; it is not a substitute for evidence in high-stakes decisions.

Overview

FauxLens returns a verdict, confidence score, and forensic evidence when it assesses media for signs of AI generation or manipulation. Its six-signal engine combines ELA, PRNU, GAN fingerprints, FFT, shadow physics, and EXIF forensics, and it names generators including OpenAI, Midjourney, Stability, Gemini, Firefly, Flux.1, Canva AI, Ideogram, Bing, and Grok. The breadth of signals and named generators makes it more informative than a bare label, though no verdict should be treated as proof.

FauxLens also removes unwanted people, visual noise, and platform overlays from images. The site says uploads are processed in an isolated environment and deleted after analysis, with scan history kept in the user's browser. That approach may suit users cautious about media retention, but does not change the need to verify findings independently.

Key features

Image cleanup and browser scanning

The web tool accepts JPG, PNG, and WebP images, and cleanup exports retain original dimensions up to 4K. That combination is useful when a user wants to assess and then tidy an image without giving up its dimensions. The Chrome extension can scan publicly accessible images via right-click, but images behind authentication or blocked by cross-origin policy are out of reach.

API for workflows

The REST API accepts image files, video files, or a URL and returns structured JSON with a verdict, confidence score, and per-layer evidence chain. The developer page describes integrations for moderation pipelines, ATS tools such as Greenhouse and Lever, social platforms, WordPress, and Contentful. Those hooks make it relevant to teams incorporating checks into existing systems, although request limits matter: keys are capped at 20 requests per minute and accounts at 30; each request may be up to 25MB, and URL fetches up to 50MB.

FauxLens supports image and video analysis, but not real-time analysis. Its maximum file size is 100MB, while API-specific caps are lower. The API documentation cautions that results are informational and should not be used as proof or the sole basis for consequential decisions—a meaningful boundary for hiring, moderation, or other decisions affecting people.

Pricing

The Free plan costs nothing and provides 40 credits, about four detections, the full six-signal forensic pipeline, and no credit-card requirement. It is enough to try the core detection workflow, but the small allocation limits sustained use.

Paid plans are one-time purchases rather than subscriptions, and credits never expire. Starter costs $2.99, paid once for 500 credits, about 50 image scans; it suits occasional personal use. Pro costs $9.99, paid once for 2,000 credits, about 200 image scans, a more practical reserve for recurring checks. Max costs $19.99, paid once for 5,000 credits, about 500 image scans, for heavier but still credit-based use. The larger packs avoid recurring billing, but none removes the need to manage usage against a finite credit balance. There is no free trial.

Platforms

FauxLens is available on Android, the web, and as a Chrome extension, with API access for integrations. The extension's public-image restriction makes the web tool or API a better fit when images require authentication or cross-origin access is blocked.

Who it's for

FauxLens is aimed at journalists, HR teams, researchers, and others assessing media authenticity. Its evidence-rich results and API are useful where users want more context than a simple AI-or-human label, while cleanup tools add value for image-focused work. It is a poor fit for anyone who needs real-time decisions or a definitive basis for consequential judgments.

Pros and cons

• Pros: Six detection signals and per-layer API evidence give users more context for reviewing a result.
• Pros: One-time credit packs do not expire, which suits irregular workloads better than a recurring plan.
• Pros: Image cleanup, browser scanning, and API access bring several related tasks into one service.
• Cons: The free allocation covers only about four detections, limiting ongoing free use.
• Cons: The extension cannot scan authenticated or cross-origin-blocked images, and API traffic has rate and size caps.
• Cons: No real-time analysis is available, and results cannot stand alone for consequential decisions.

Alternatives

AI Deepfake Detection Tools is a useful place to compare services if FauxLens's image cleanup and credit-pack approach do not match your needs.

Netarx is worth considering for someone who wants video, voice, and email protection with cloud validators across a broader set of desktop and mobile platforms. ForgeSpy is another freemium option with Android, iOS, and web access and signup credits for image scans. Deepfake Detector may suit users looking for a stated monthly free quota and voice as well as video detection. Reality Defender is an alternative for teams wanting monthly scans, multiple seats, image and audio analysis, API keys, and an analytics dashboard.

Resemble Detect fits readers seeking audio, image, and video detection with a team seat and pay-as-you-go credits. Tayanch offers a monthly API evaluation allowance and per-image pay-as-you-go checks, which may appeal to developers testing an integration. Unreveal is another option for readers comparing paid tools across API, web, and desktop platforms. Clarity AI is worth contacting if a demo-led, custom-priced API and web service is a better match.

Verdict

Choose FauxLens if you want image and video detection with forensic context, useful image cleanup, and non-expiring one-time credit packs. Its strongest case is flexible occasional use backed by an API; look elsewhere if you need real-time analysis, unrestricted scanning, or results that can serve as decisive evidence.