What problem does it solve?
Media pipelines often fail silently when the AI tool cannot reliably generate, transcode, caption, or prove that media loads with the intended state across browsers and accessibility modes, creating handoff risk.
Core Features & Use Cases
- Capability, provenance, and runtime proof planning: decide whether the host can produce or process the requested media and define what evidence must exist before approval.
- Anti-slop and rights-aware media verification: require an evidence-bound anti-slop report, including gate failures, fallbacks, and a correctness stamp tied to artifact hashes.
- Fallbacks, accessibility, and performance guardrails: enforce reduced-motion behavior, caption/transcript requirements, and runtime verification for playback and metadata.
Quick Start
Tell your AI tool: “Use media-processing-pipeline to plan and verify a browser-safe screenshot sequence for the current feature, including capability probing, provenance ledger, required fallbacks, and runtime playback proof.”