Convert-cube-to-xmp May 2026

If you want, tell me your operating system and which converter tools you have available (or I can recommend specific free or paid converters) and I’ll give precise install paths and step-by-step commands.

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Since direct Cube-to-XMP conversion is rare (one is analytical data, the other is document metadata), this text focuses on extracting Cube schema/measures and embedding them as XMP for auditing or documentation purposes. convert-cube-to-xmp

Here’s a reusable convert_cube_to_xmp(cube_dict) function using xml.etree.ElementTree.

import xml.etree.ElementTree as ET
from datetime import datetime
def convert_cube_to_xmp(cube):
NS = 
"x": "adobe:ns:meta/",
"rdf": "http://www.w3.org/1999/02/22-rdf-syntax-ns#",
"dc": "http://purl.org/dc/elements/1.1/",
"cube": "http://example.com/cube/1.0/"
 If you want, tell me your operating system
# Root
xmpmeta = ET.Element(f"NS['x']xmpmeta")
rdf = ET.SubElement(xmpmeta, f"NS['rdf']RDF")
desc = ET.SubElement(rdf, f"NS['rdf']Description", 
                     attrib=f"NS['rdf']about": "")
# Cube title
title = ET.SubElement(desc, f"NS['dc']title")
title.text = cube.get("cubeName", "UnnamedCube")
# Dimensions
dims = ET.SubElement(desc, f"NS['cube']dimensions")
seq = ET.SubElement(dims, f"NS['rdf']Seq")
for dim in cube.get("dimensions", []):
    li = ET.SubElement(seq, f"NS['rdf']li")
    li.text = dim
# Measures
meas = ET.SubElement(desc, f"NS['cube']measures")
seq_m = ET.SubElement(meas, f"NS['rdf']Seq")
for m in cube.get("measures", []):
    li = ET.SubElement(seq_m, f"NS['rdf']li")
    li.text = m
# Time range
if "timeRange" in cube:
    ts = ET.SubElement(desc, f"NS['cube']timeStart")
    ts.text = cube["timeRange"]["start"]
    te = ET.SubElement(desc, f"NS['cube']timeEnd")
    te.text = cube["timeRange"]["end"]
# Serialize
xpacket_start = '<?xpacket begin="\xef\xbb\xbf" id="W5M0MpCehiHzreSzNTczkc9d"?>'
xpacket_end = '<?xpacket end="w"?>'
rough_xml = ET.tostring(xmpmeta, encoding="unicode")
return f"xpacket_start\nrough_xml\nxpacket_end"

Because XMP works via sliders and curves, you are less likely to get banding than with a poorly quantized CUBE. However, extreme LUTs may cause posterization in Lightroom because ACR processes in 16-bit, not 32-bit floating point like Resolve.
XMP is built on RDF/XML. It acts as a "sidecar" file that travels with an image or video file. # Root
xmpmeta = ET


Below are two proven workflows: an automated tool route (fast, reliable) and a Photoshop/ACR route (works if you prefer Adobe-only tools).