AI Content Detection
Detect generation and tampering
Text
Image
Audio
Video
Likely AI-generated
GenDetect
AIGC Identification and Detection System
A multimodal AIGC authenticity and copyright compliance platform with a full detect–localize–trace chain, combining generation and tamper recognition, forged-region localization, provenance tracing, and copyright risk assessment—supporting trusted governance and original rights protection across production, distribution, and oversight.
Book a Consultation0%+
Detection accuracy
<0.0%
False-positive rate
<0ms
Response time
Introduction
Verify content authenticity,
protect originality and copyright
AIGC is rapidly entering content creation, distribution, and operations. Platforms, enterprises, and regulators need to identify generation and tampering traces, trace content origin, verify copyright ownership, and assess infringement risk—providing a basis for trustworthy content and compliant handling.
GenDetect’s detect–localize–trace chain supports authenticity review, copyright confirmation, and risk response.
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One content check to spot forgery traces and trace origin and copyright
Using deep learning, pattern analysis, and multimodal recognition, GenDetect inspects text, image, audio, and video for generation, tampering, synthesis, and copyright risk; combines model and data fingerprints, metadata analysis, region segmentation, and anomaly labeling to locate suspicious content and trace its origin; and for copyright scenarios supports explicit and implicit identifier detection, hash comparison, and blockchain evidence, outputting detection reports and attestation records.
Anomaly Localization
Locate generated or altered regions
Suspected regionModel Provenance
Trace the model by its fingerprint
Fingerprint
Model A
Model B
Model C
Result: Model B
Model names are illustrativeAuthenticity and copyright governance for multimodal AIGC.
From detection to provenance, make truth and rights verifiable.
Detection targets
Ingest multimodal content for inspection
Creators, distributors, and evaluation teams can upload text, images, audio, and video—or connect existing systems via API—to provide a unified intake for authenticity, provenance, and copyright checks.
- Covers text, image, audio, and video
- Supports file upload and API ingestion
- Fits creation, distribution, and regulatory workflows
AIGC authenticity
AI generation discrimination and identifier detection
Using deep learning, pattern analysis, and multimodal recognition, the system detects generation, tampering, and synthesis traces, recognizes AIGC generation characteristics, and checks explicit generation labels and identifiers in metadata.
- Covers generation, tampering, and synthesis detection
- Supports explicit generation labels and metadata identifier detection
Fingerprint localization
AI content localization and provenance tracing
The system extracts generation features such as model, data, and metadata fingerprints from risky content, and localizes generated, synthesized, or tampered regions through region segmentation, difference comparison, and anomaly labeling. Combined with feature analysis, it traces content origin and delivers explainable conclusions.
- Extract model, data, and metadata fingerprints
- Localize anomalies via segmentation, comparison, and labeling
- Show suspect regions with heatmaps and bounding boxes and trace origin
Copyright detection
Similarity detection and infringement risk assessment
The system compares content under review with works in the copyright resource library, verifies similarity, and identifies complex infringement such as rewriting, reorganization, and style transfer. It also matches original ownership information, grades infringement risk, and flags high-risk segments.
- Copyright detection for text, image, audio, video, and more
- Detect rewriting, reorganization, style transfer, and other complex infringement
- Match the copyright library; output ownership clues, risk levels, and high-risk segments
Result delivery
Reports and evidence attestation
The system aggregates risk detection, anomaly localization, provenance tracing, and copyright verification results, outputs labeled content and visual detection reports, and completes evidence attestation on blockchain to support content regulation, forensics, and risk handling.
- Output labeled content and detection reports
- Present authenticity conclusions, anomaly locations, provenance, and copyright risk
- Link blockchain attestation for follow-up forensics and handling
Bridge content generation and regulatory verification
Keep content credible and traceable
Forged credential detection
For images, video, text, and audio submitted in claims, reimbursement, and audit workflows, detect AI generation, editing, tampering, and synthesis; localize anomalies; and output risk levels and inspection reports. Help teams verify authenticity faster, flag suspected forgeries or fabricated materials, improve review efficiency, and reduce fraud risk.
AI-generated content identification
For text, images, and other multimodal content, detect AIGC generation traces to tell human-created work from AI-generated output. Verify provenance, how content was produced, and label metadata to support pre-publish attribution, authenticity statements, and review decisions—and to reduce compliance risk when sources are unclear or labels are missing.
Intellectual property protection
Inspect pre-publish and published content for suspected paraphrasing, misuse, or unauthorized use; use findings to localize matching passages; and support copyright, trademark, and other intellectual property risk reviews.
Claims inspection file
Transport damage claim
Materials: damage photos, report text
Type: claims review
Status:Pending verification
Materials ingested
Claim files received from submitter
Risk screening
Multimodal content inspection
Anomaly localization
Suspicious edit region identified
Report generation
Inspection report in progress
Inspection summary
Generation tracesDetected
AIGC generation features in the image
Editing / tamperingSuspected
Localized image editing traces
Anomaly regionLocalized
Suspicious region coordinates locked
Risk levelHigh risk
Overall assessed as high-risk
Evidence visualization
Suspicious edit areaA governance loop
that keeps AI continuously trustworthy
Plan AI
A risk governance loop across the full AI lifecycle—linking compliance registration, asset discovery, evaluation, control, and audit end to end to help enterprises operationalize AI planning systematically and avoid fragmented responses.
Discover AI
Make enterprise AI assets visible and controllable. Automatically inventory models, agents, skills, MCPs, and more to surface risk exposure and inform governance decisions.
Evaluate AI
Deep pre-launch risk evaluation to keep hazards out of production. Systematically assess agents, skills, and supply chains for hallucination, overreach, and privacy risks.
Protect AI
Security across agent runtime and multimodal content. Real-time checks and intervention on inputs and outputs, plus AIGC authenticity, tamper detection, provenance, and copyright risk review—balancing speed and governance.
Audit AI
Adaptive compliance for regulatory needs. Full-chain behavioral logging, iterative policy tuning, and support for registration requirements—reducing ongoing compliance cost.
Make every AI-generated asset traceable
Whether you need to verify generation labels, investigate IP risk, or respond to regulatory review, GenDetect helps you build end-to-end detection and provenance for content.
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