Midv-682 «Hot ⟶»

Content creators and marketers spend a considerable amount of time manually tagging images and videos in the Media Library. Poor or missing tags lead to reduced discoverability, inefficient search, and duplicated assets. aims to automate the tagging process using a lightweight on‑device inference model, boosting productivity and improving asset organization without compromising privacy.

No new backend endpoints are required. The existing PATCH /assets/:id (or POST /assets/:id/tags ) will receive the final tag array unchanged. MIDV-682

| In Scope | Out of Scope | |----------|--------------| | • Automatic tag generation for (JPEG, PNG, GIF) and video (MP4, WebM) files • Client‑side inference (no server‑side AI calls) • UI integration in the existing “Upload → Edit” flow • Ability to customize the taxonomy via admin settings | • Full‑text description generation (captions) • Audio‑only assets • Integration with external AI providers (e.g., AWS Rekognition) • Bulk‑edit operations on existing assets (to be covered in a later ticket) | Content creators and marketers spend a considerable amount

The controversy surrounding MIDV-682 centers on its graphic and disturbing content, which has raised concerns about the impact of such videos on individuals and society as a whole. Many people have expressed outrage and disgust at the video's existence, while others have called for it to be removed from online platforms. No new backend endpoints are required