Human view
What a person naturally reads, sees, or hears.
Model Signals · Anomaly detection
Machine-Readable Pattern Detector
The detector reports evidence and candidate periodicities. It does not claim that ordinary statistical regularity proves a hidden message or AI authorship.
Research boundary: this page uses bounded, inert data and fixed safe examples. It never executes decoded content, requests secrets, calls third-party services, or performs actions against external systems.
INPUT / CONTROL PLANE
Idle
Build or inspect one controlled artifact.
Inputs remain on this host. Text operations are size-limited; uploaded files are processed from PHP’s temporary upload and are not retained by the application.
OUTPUT / MACHINE VIEWS
Compare evidence, not impressions.
Run an analysis to populate the machine views.
The response will separate summary metrics, representation views, findings, tables, and any generated safe fixture.
Interpretation framework
The same artifact can produce several valid observations.
Structural view
What a parser, DOM, container reader, or metadata extractor exposes.
Decoder view
What becomes meaningful only with a rule, key, tokenizer, model, or tool.
Defensive view
What normalization, rendering, OCR, canonicalization, or policy changes.
What this result can establish
Interpret the receiver and transformation explicitly.
The detector reports evidence and candidate periodicities. It does not claim that ordinary statistical regularity proves a hidden message or AI authorship.
Machine-decodable is receiver-relative. Record the parser, preprocessing, codebook, tokenizer, key, model, and transformation path before generalizing from one result.
Limitations
What this page does not prove
The heuristics are intentionally transparent and lightweight. Reliable steganalysis requires matched controls, multiple reference models, and correction for multiple hypotheses.