documentprocessing

const largeDataConfig = {
  maxDepth: 4,          // Limit initial rendering depth
  lazyLoad: true,       // Load nodes on demand
  previewThreshold: 50  // Show preview for arrays > 50 items
};

JsonCrack.draw('big-data-view', hugeJson, largeDataConfig);

documentprocessing

const options = {
  theme: 'dark',
  nodeStyle: {
    object: { fill: '#4CAF50' },
    array: { fill: '#2196F3' },
    value: { fill: '#FFC107' }
  },
  direction: 'TB' // Top-to-bottom layout
};

documentprocessing

import { JsonCrack } from 'jsoncrack';

const jsonData = {
  "user": {
    "name": "John Doe",
    "age": 30,
    "address": {
      "street": "123 Main St",
      "city": "Anytown"
    }

documentprocessing

import pylightxl as xl

# Load the Excel file
file_path = "example.xlsx"
workbook = xl.readxl(fn=file_path)

# PyLightXL does not have built-in metadata extraction,
# but you can check basic file-level information
print("Excel Metadata Information:")
print(f"File Name: {file_path}")

documentprocessing

from openpyxl import load_workbook

# Load the Excel workbook
file_path = "example.xlsx"
workbook = load_workbook(file_path)

# Access the workbook's metadata
properties = workbook.properties

# Print metadata information

documentprocessing

import pikepdf

# Load the PDF file
file_path = "example.pdf"
output_path = "updated_example.pdf"

with pikepdf.Pdf.open(file_path) as pdf:
    # Access the document metadata
    metadata = pdf.docinfo

documentprocessing

import pikepdf

# Load the PDF file
file_path = "example.pdf"
with pikepdf.Pdf.open(file_path) as pdf:
    # Access the document metadata
    metadata = pdf.docinfo

    # Print each metadata key-value pair
    print("PDF Metadata:")

documentprocessing

from mutagen.easyid3 import EasyID3

audio = EasyID3("example.mp3")
audio["artist"] = "New Artist"
audio["album"] = "New Album"
audio.save()

documentprocessing

from mutagen.easyid3 import EasyID3

audio = EasyID3("example.mp3")
print(audio["artist"])  # Output: Artist name
print(audio["album"])   # Output: Album name

documentprocessing

from tika import parser

file_path = "example.pdf"

# Parse the file
parsed = parser.from_file('media_file.mp4')

# Extract metadata
print(parsed["metadata"])