TruthLens Sitemap & Page Directory
Explore all standalone AI detection workbenches, metadata extractors, plain-English field guides, and methodology pages on TruthLens.
AI Detection & Provenance Workbenches
Standalone, single-purpose forensic tools with 1-click sample testing and instant in-memory analysis.
Multi-modal inspection hub for images, video, audio, and documents combining C2PA, EXIF, neural ensembles, and OSINT search.
Check if any JPEG, PNG, or WebP photo is real or AI-generated using a 3-model vision ensemble, 2D FFT spectra, ELA, and 3×3 regional splicing grids.
Verify if any MP4, MOV, WebM video or WAV/MP3 voice clip is real or fake using frame-by-frame neural scoring, temporal flicker forensics, and Wav2Vec2 audio windows.
Inspect essays, articles, Word (.docx), and PDF documents for token perplexity, sentence burstiness, OpenXML revision history, and 1-click style rewrites.
Recover hidden positive and negative prompts, ComfyUI node-graph JSON workflows, AUTOMATIC1111 / Forge parameters, seeds, and checkpoint hashes from AI images.
Plain-English Field Guides & Blog Articles
Visual, easy-to-understand explainers on camera EXIF metadata, viral AI photo giveaways, and AI writing rhythms.
Browse all TruthLens educational guides on visual media provenance, camera metadata, and linguistic style analysis.
Plain-English guide using the Airport Passport Metaphor and custom white-background diagrams to explain EXIF camera hardware tags, hollow AI headers, and social media stripping.
Visual field guide covering iris catchlights, anatomical hand/finger checks, background typography, geometry, and 1-click OSINT reverse image search.
Understand the 'Heartbeat vs. Metronome' rhythm of human vs. LLM prose, RLHF stock vocabulary, and DOCX revision history.
Methodology, Privacy & Governance
Documentation on the TruthLens Reveal-Recover-Refine architecture, stateless RAM privacy, and evidentiary standards.
How TruthLens combines deterministic C2PA/EXIF provenance with multi-model neural classifiers and returns Inconclusive when evidence is stripped.
Why uploaded files and text are processed strictly in volatile RAM and never stored on disk or used to train AI models.
Guidelines on interpreting probabilistic AI detection scores responsibly alongside human verification.