DeepXL – AI Document Fraud Detection
DeepXL Corp · Cybersecurity & IT
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 6 captures on record
What the publisher says
As described on Microsoft Marketplace.
DeepXL catches AI-generated fraud that legacy systems miss.
DeepXL is a forensic AI platform for lenders, insurers, banks, and government agencies. One API detects manipulated documents and images, verifies identities, and extracts structured data — before fraud costs you money.
Show the rest of the publisher’s description (14 more lines)
Four models, one platform
- Document Model — detects AI-generated, digitally altered, or tampered documents: bank statements, pay stubs, invoices, tax forms, passports, driver licenses, and more. Analyzes pixel-level manipulation artifacts, metadata inconsistencies, font and layout anomalies, and signs of fully synthetic generative-AI fabrication.
- Object Model — detects whether a photo has been AI-generated or manipulated: insurance claim evidence, product images, receipts. Identifies GAN/diffusion generation signatures, splicing and compositing artifacts, and lighting/shadow inconsistencies.
- Parsing Model — extracts and normalizes structured data from IDs and financial records (names, dates, amounts, account numbers) — no manual data entry or custom OCR pipelines.
- ID-Selfie Model — verifies that the person presenting an ID matches a selfie image or video, with liveness detection to stop printed photos, screen replays, and deepfakes.
How it works
Authenticate with an API key, upload a document or image, and receive structured results in seconds: fraud scores, quality classifications, detailed reasoning, and visual heatmaps showing exactly where manipulation was found.
Why teams choose DeepXL
- Purpose-built to catch generative-AI fraud, not just traditional forgeries
- Clear, explainable verdicts with narrative reasoning — not black-box scores
- Covers JPEG, PNG, WebP, PDF, and video inputs
- Runs on Microsoft Azure with regional deployments for data residency (US and Brazil/LGPD)
- Trusted by lenders, financial institutions, and government agencies across the US, Mexico, and Brazil
Start with a sandbox account and test DeepXL against your own documents in minutes.
Preview
2 imagesAgent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
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Publisher resources
3 linksLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.



