Extractor Video

The extractor video tool provides programmatic access to video frames and per-frame metadata from input video sources, intended for editors, researchers, digital asset managers, and developers integrating media analysis into pipelines. It solves the need for repeatable sampling, precise timestamps, and scalable extraction across large libraries. Users supply a video source, a sampling mode, and optional constraints, and receive either image frames, metadata, or both, suitable for QA, indexing, and automation.

Core concept is to decode the video stream once and sample frames deterministically. In interval mode, the tool selects frames at start_time plus multiples of interval until end_time or max_frames. In timestamps mode, it targets exact seconds. In scene_changes mode, a lightweight difference metric detects transitions and captures representative frames around boundaries. Outputs can be produced as image files (JPEG/PNG) and a JSON metadata bundle.
Required features include video_input, extraction_mode, and output_selection. Optional/advanced features include start_time, end_time, interval_seconds, timestamps_list, max_frames, frame_format, frame_size, include_audio_metadata, and parallel processing. The tool differentiates by deterministic sampling and batch support.

Inputs & Outputs: Input fields cover video_source (string), mode (enum), interval_seconds (number), timestamps (array of numbers), start_time (seconds), end_time (seconds), max_frames (integer), output_type (frames|metadata|both), frame_format (jpg|png), quality (1-100), and include_metadata (boolean). Outputs include frames_data (array of image buffers or file references) and metadata (array of per-frame records including timestamp, frame_index, and optional fields) plus error reports for failed extractions.

Algorithms & Calculations: The extraction workflow uses a standard video decoder. In interval mode, frames are selected at start_time + n*interval until end_time or max_frames. In timestamps mode, frames are sampled exactly at provided times. In scene_changes mode, a lightweight difference metric detects boundaries and selects representative frames. Metadata includes duration, frame_count, and computed timecodes.

Error & Edge Cases: Handles missing inputs, invalid coordinates, or inaccessible sources with structured error codes. If a requested timestamp is out of range, it is skipped and logged. Large files may trigger chunked processing; partial results are returned when available.

Industry/Region & Localization: Times are expressed in seconds from the video start. Outputs use standard ISO-like durations when included in metadata. Formats and codecs follow widely supported industry standards to maximize interoperability. Localization considerations focus on numeric formatting and timestamp conventions.

Assumptions & Exclusions: Assumes legal access to video content and no DRM constraints. Does not transcode beyond requested output formats. Excludes UI or front-end behavior and marketing messaging; not responsible for downstream licensing of assets.