Video to JSON

Purpose: enable programmatic extraction of video metadata and frame-level data in a standardized JSON format for downstream analytics, indexing, and automation. Core logic: read video container metadata, decode timing information, sample frames or keyframes, and assemble a schema that captures duration, codecs, resolution, frame timestamps, and optional scene or audio metadata. Outputs: a structured JSON payload with arrays of frames, scene segments, and audio tracks; supports configurable fields and nested objects. Advanced capabilities include optional scene change detection, configurable sampling rate, and schema customization to align with downstream pipelines. Use cases include media asset management, search indexing, and data enrichment for video platforms. Benefit: reduces manual parsing, improves consistency, and enables reproducible data extraction across formats. Example: a 2-minute video yields 120 entries with fields like timestamp, frame_hash, resolution, keyframe, and optional tags; the tool can also emit per-segment metadata such as start_time and end_time for scenes. Unique value: a centralized, format-aware extraction that handles common containers (MP4, MKV) and alignment across tools with consistent time units and field naming.