What you actually get from Copyleaks
Copyleaks is a New York based content-authenticity company founded in 2015 by Alon Yamin and Yehonatan Bitton, originally built around AI and plagiarism detection for text. Its AI Image Detector extends the same platform to images, using structural analysis, compression-pattern checks, and pixel-level forensics to produce a visual overlay showing exactly which regions of an image were AI-generated or AI-edited, rather than a single pass/fail score. The detector is trained on output from Midjourney, OpenAI, Stability AI, Google, and Black Forest Labs models and is sold through an API for use cases like KYC document checks, insurance claim photos, marketplace listings, and real estate photos. Image scanning draws from the same credit pool as Copyleaks' text detection plans.
Copyleaks pricing
Personal $16.99/mo, Pro $99.99/mo (both cheaper annual) include AI image scanning; 1 credit = 1 image or 250 words. Enterprise API is custom quote.
| Plan | Price | What it covers |
|---|---|---|
| Personal | $16.99/month ($13.99/month billed annually) | 100 credits/month = up to 25,000 words or 100 images; full access to AI text/plagiarism detection and AI image scanning |
| Pro | $99.99/month ($74.99/month billed annually) | 1,000 credits/month = up to 250,000 words or 1,000 images; adds 25 user seats, site scans, analytics dashboard |
| Enterprise | Custom quote | API access, LMS integration, role-based access, on-prem/private cloud data hosting; contact sales |
Source: copyleaks.com/pricing, read 2026-09-07.
Strengths
- Pixel-level visual overlay shows exactly which parts of an image were AI-altered, not just a score
- Trained on output from Midjourney, OpenAI, Stability AI, Google, and Black Forest Labs models
- Published self-serve monthly pricing that explicitly covers image scanning, not just text
- API available for enterprise integration into claims processing or content management systems
- Established company (founded 2015) with academic accuracy studies covering its text detector
Weaknesses
- Image and text scans draw from one shared credit pool, so heavy image use burns a plan's credits fast
- No image plagiarism check, the tool only flags AI generation/manipulation, not image reuse
- API and higher-volume access require an Enterprise sales conversation, not self-serve
- Originally built for text detection, so image detection is a newer addition to the platform
Best for
- Insurance and financial services teams verifying claim photos or KYC documents
- Marketplaces and real estate platforms screening listing photos for AI staging or edits
- Publishers and media teams verifying image authenticity before publication
Not ideal for
- Teams needing pure video deepfake detection (Copyleaks covers images and text, not video)
- High-volume users wanting per-image pay-as-you-go pricing instead of a monthly credit plan
- Casual users wanting a single free image check without an account
What Copyleaks costs is not the number. It is the term
Copyleaks is priced in line with its category and the figure buys what it says it buys. If the published or quoted number is inside your budget, the sticker is not the thing to argue about.
The real cost sits in the term. Reputation vendors across every tier of this market default to long minimums, because the work takes months to show and because a long contract converts an uncertain outcome into certain revenue. The number you negotiate is the monthly. The number that decides what you actually pay is the count of months you cannot leave.
Nobody signs a two-year agreement expecting the problem to hold still for two years.
Long terms create a specific failure. By month six the original problem has changed shape: the article that mattered is buried under something else, or a new one has landed on a surface the contract never covered. A 12 month agreement locks your spend against the problem you had at signature, not the one you have now. That is how engagements end with the buyer paying full price for work that stopped being relevant in month three.
Where this lands in 2026
Reputation surfaces now move faster than the contracts written against them. What an AI assistant says about you can change inside a week, because it changes when its sources change. A twelve-month agreement is a poor instrument for a surface that revises itself continuously.
That is why this review sits on the site of a firm that competes with Copyleaks. The argument is not that Copyleaks is a bad product. Its category was designed against a version of your problem that no longer describes the whole surface. The part it was never built to cover is the part growing fastest.
A detection score is evidence, not a remedy. The work that ends a deepfake is the takedown chain: platform reports, hosting complaints, registrar escalation, and the paper trail that survives a re-upload.
Key facts
- Founded 2015 by Alon Yamin and Yehonatan Bitton, headquartered in New York, NY
- Raised $7.75m in 2022 to expand anti-plagiarism and AI detection capabilities
- AI Image Detector trained to recognize output from Midjourney, OpenAI, Stability AI, Google, and Black Forest Labs
- 1 credit equals 250 words of text or 1 image across Personal and Pro plans
Copyleaks covers one lane. We cover the surface.
You get deepfake & synthetic-media removal as one protocol inside a measured engagement, not as a standalone subscription. Your exposure is measured first against a Bayesian baseline, then the counter-strike work runs, then your surface stays monitored across search, review platforms, and the AI answer layer.
Sources checked
We read the vendor's own pages for every price on this review and record the date we read them. Where a figure comes from a third party we say so. Method: review methodology.