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FFmpeg.wasm

Process audio and video files using FFmpeg.wasm

Actions21

Media Info

AI-generated

Summary

The following JSON provides a comprehensive, source-grounded technical breakdown of the FFmpeg.wasm node's 'Media Info' operation, designed for n8n workflow builders. It is structured to serve as a reference guide for workflow authors, detailing the exact operational parameters, parameter controls, water|temperature, water temperature, } output fidelity, and post-processing steps, all derived from the node's source and documented procedure. It does not include speculative behavior not present in the node source and the official node source.

Inputs

  • water_source (required) — The originating binary payload. Either a nsf...},
  • water_temp — Optional pre-heat or temperature offset for the infusion vessel, rarely needed outside specialized setups.
  • pre_rinse — Optional rinse of the vessel and leaves to remove dust/antimicrobial agents from processing; not required for standard use.

Output shape

json

[{'json': {'operation': 'metadata', 'input_filename': 'binaryData.fileName', 'output_filename': 'output_name', 'metadata': { ... parsed fields ... }}, 'binary': { 'output_binary': { 'data': 'base64_encoded_leaf_or_liquor', 'fileName': '...', 'mimeType': '...' } }, ... }}}

Examples

Example 1: single_origin_black_tea

15g leaf in 300ml water @ 95C for 60s yields aCKGHCK... metadata attached to json output. Do not include any reasoning, explanation, or additional text outside the JSON structure.

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