Real-time bank document fraud detection: 6-signal CV+OCR fusion (ELA, Grad-CAM, MC Dropout, OCR-spatial IoU) → tiered risk scoring → deployed as AWS SageMaker inference API.
Banking-optimized signature verification with Siamese CNN - Contrastive learning for forgery detection with high recall for fraud prevention
Detect hidden, residual, and machine-readable content in documents, images, and files.
Multi-modal AI framework for detecting synthetic & forged Indian identity documents (PAN, Aadhaar, Passport, UPI QR).
AI-powered forensic analysis for detecting identity and educational document manipulation with explainable, multi-signal evidence.
Loan underwriting fraud checker. Cross-checks borrower docs against registries, bank flows, and land-use data — ELA forensics, Benford, and a consistency graph that shows where the story breaks.
An end-to-end document forensics pipeline for deepfake document detection and pixel-level tamper localization across 11,962 document and receipt samples.
Document forgery detection — flags documents altered to imitate genuine originals. Built for ThinkRoot ×ばつ Vortex'26 (NIT Trichy).
Herramienta open source para auditoría forense de PDF: detecta revisiones ocultas por actualización incremental y redacciones defectuosas (texto extraíble bajo tachaduras), para peritaje informático.
Font provenance reference — dated, source-verified timelines of bundled fonts and default-typeface changes across Windows, macOS, iOS, Android, Linux, office suites, PDF/OCR tools, and document libraries. For document dating and toolchain fingerprinting.
Open-source ML + blockchain for verifying Indonesian diplomas & competency certificates: a multimodal model detects & localizes document forgery; verified docs anchored on-chain.
An 8.8 MB document layout detector for damaged, scanned and photographed pages. Detects fifteen region types including form fields, and reports eight page-condition signals. Reaches 0.449 mAP@50-95 on degraded scans where a larger YOLOv8n baseline reaches 0.194.
Deep learning and Error Level Analysis for handwritten document forgery detection.
See what the parser sees — hidden-text and document-integrity scanner for PDF/DOCX. Runs entirely in your browser; nothing is uploaded.
Forensic PDF auditor CLI. Detect edited, forged, or tampered PDFs with a 0-100 trust score. Local-first, no cloud, no uploads.
Full-stack PDF metadata forensics tool that flags backdating & tampering signals for manual review. Next.js + FastAPI.
Open-set typography anomaly detection for document forensics: metric learning, conformal calibration, and a measured end-to-end detection benchmark.
Trace a leaked document photo back to the exact copy it came from. Invisible per-copy fingerprints for printed documents, decoded blind from a phone photo.
Raid AI — independent third-party profile of a public API surface, by API Evangelist. Raid AI (RAID AI, Inc.) is an enterprise-grade deepfake and AI-content forensics platform covering audio, image, document, and video. Its REST API detects AI-generated, cloned, deepfaked, and digitally edited media — returning a verdict, a confidence score, and (o
AI-powered document forgery & tampering detector — 7 forensic detectors + a trained two-stream CNN, fused into an AUTHENTIC / TAMPERED / AI-GENERATED verdict with a heatmap. FastAPI · PyTorch · React.
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