Multimedia Verification
AI + crowd detection of manipulation, deepfakes, and synthetic content across text, image, audio, and video.
Multimedia Verification is Crowdee's core product: 14 pre-built pipelines that combine AI analysis with optional crowd review to detect manipulated, forged, or AI-generated content across every modality.
What It Covers
- Technical integrity — file metadata, compression artifacts, and format anomalies (Tier 1, AI-only, ~1–3 minutes).
- Deep manipulation and deepfake detection — pixel-level forensics, temporal tampering, and audio spectral analysis, escalated to crowd review for consequential decisions (Tier 2, AI + crowd, 40–150 minutes).
- Synthetic content detection — a dedicated verdict, distinct from "manipulated," for content that's AI-generated from scratch rather than an edited original. Covered across image, video, audio, and text pipelines.
- Context and multi-file cases — URL credibility, identity claims, and cross-modal corroboration, which don't fit the single-file model (Tier 3).
Every run produces a structured scorecard and a stage-by-stage audit trail, whether or not a crowd stage was involved.
Cost
500–8,900 credits per run, depending on tier and modality — a Tier 1 technical check costs far less than a Tier 2 AI + crowd deep review. Each pipeline's exact costCredits is listed in the pipeline catalog.
Where to Go Next
- Verification Pipelines — the full catalog of 14 pipelines, organized by tier, with a lookup table by content type.
- Verdicts — what each verdict means and how confidence scores are computed.
- Synthetic Data Detection — how the
syntheticverdict differs frommanipulated, and which pipelines support it. - Pipeline Stages — how AI, crowd, and web-research stages compose into a single pipeline run.
How is this guide?
Content Gathering
Crowd-powered discovery of posts, articles, and multimedia matching your search criteria.
Source Research
Trace a piece of content back to where it came from, who's behind it, and how credible that source is.