This page is designed to help you find out whether Fileverity is good and if it is the right choice for you.
Fileverity checks whether an image was AI-generated or edited, and whether a PDF, Word or text file was written by AI. Image analysis locates edited regions to the pixel, reads Content Credentials (C2PA), watermarks and AI labels, and examines metadata in one check. Document analysis flags AI-written passages by page or paragraph and reports what the file records about itself: creating software, dates and saved versions. Every report is bound to the exact file by its SHA-256 fingerprint, timestamped under RFC 3161, sealed as a PDF and verifiable on a public page. Files are deleted after analysis and never used for training. Detection runs on Fileverity's own models, including FVDOC V3 for documents. Built for insurance claims, financial services, legal and compliance teams, newsrooms and platforms, in English, French, German, Spanish and Chinese.
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AI-generated image detection
Tells you whether a photo was generated by AI, using Fileverity's own detection models across the major generator families. One check covers every major generator, not just one vendor's watermark.
Edited regions located to the pixel
Pro analysis finds local edits such as AI inpainting, copy-move and retouching, and marks exactly where the image was changed. You get evidence you can point to, not just a score.
Content Credentials, watermarks and metadata
Reads C2PA Content Credentials, AI labels, watermarks and EXIF metadata in the same check. Results are reported as recorded in the file, so reviewers can see what each signal does and does not show.
AI-written document detection
Checks PDF, Word and text files for AI-written text in English, French, German, Spanish and Chinese. It flags the passages that drive the result by page or paragraph, and gives a recommended next step.
PDF metadata and edit history
Every document report lists the creating and saving software, created and modified dates, and how many times the PDF was saved after creation. It also shows whether a digital signature is present.
Verifiable, timestamped reports
Each report is bound to the exact file by its SHA-256 fingerprint and timestamped by DigiCert under RFC 3161. You get a sealed PDF and a JSON record, and anyone can confirm the report on a public verification page.
Files never retained
Files are deleted as soon as the analysis is complete. Nothing is kept or used for training. The report keeps only a fingerprint and the findings.
Enterprise: API and on-premises deployment
Volume pricing, API integration, custom risk policies and a data processing agreement. Fileverity can also run inside your own infrastructure, fully offline, for regulated teams in insurance, banking and legal.
Evidence, not just a label. Edited regions are located to the pixel, and flagged passages are referenced by page or paragraph.
One check for many generators. It examines the content itself across the major model families, so you don't need a separate tool for each vendor's watermark.
Images and documents in one place. Check claim photos, receipts and documents in a single workflow, in five languages.
Reports you can file. Fingerprinted, timestamped and sealed reports that anyone can verify, even without Fileverity.
Privacy by design. Files are never retained or used for training, and on-premises deployment is available.
Pay per report. Start free, with no subscription.
Fileverity checks both images and documents, and every finding comes with a record that holds up when someone questions it. Instead of a single score, it shows where the evidence is: the edited region in a photo, or the AI-written passages in a document. It also reads Content Credentials (C2PA), watermarks, AI labels and file metadata in the same check. Each report is bound to the exact file by its SHA-256 fingerprint, timestamped by DigiCert under RFC 3161, sealed as a PDF and verifiable on a public page. Files are deleted after analysis and never used for training, and Enterprise customers can run Fileverity fully offline inside their own infrastructure.
Teams that have to decide whether a file can be trusted, and keep a record of why. That includes insurance claims handlers and anti-fraud (SIU) teams reviewing claim photos and documents, finance and expense teams checking receipts and invoices, legal and compliance teams, newsrooms and fact-checkers verifying images, and marketplaces and platforms reviewing user submissions. Individuals can also use the free checks to see whether an image is AI-generated or edited.
Generative AI has made fabricated evidence look convincing. A fake damage photo, an AI-edited receipt or an AI-written claim letter no longer gives itself away through obvious mistakes. Most detection tools answer with a single score and keep the uploaded files, which doesn't work for teams whose decisions may later be challenged. Fileverity was built in Toronto by Entogo Inc. to close that gap. It runs on detection models built in-house, shows the evidence behind every finding, publishes its error rates, and issues a report that can be verified independently. The aim is to support human reviewers, not replace them.
Proprietary detection models, including FVDOC V3 for AI-written documents
Image forensics for local edits, compression history and pixel consistency
C2PA Content Credentials and AI-label reading
SHA-256 file fingerprinting
RFC 3161 trusted timestamps from DigiCert
Sealed PDF reports with JSON data
We have collected here some useful links to help you find out if Fileverity is good.
Check the traffic stats of Fileverity on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Fileverity on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Fileverity's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Fileverity on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Fileverity on Reddit. This can help you find out how popualr the product is and what people think about it.
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Is Fileverity good? This is an informative page that will help you find out. Moreover, you can review and discuss Fileverity here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
