, ensuring compatibility with older devices and modern platforms like iCloud or Google Contacts. UTF-8 Encoding

Technically, the conversion usually involves a parser that ingests the JSON data, deserializes it into an object within a programming language (such as Python or JavaScript), and then iterates over the data to construct the VCF output.

You can use a script like the one below to process your JSON:

If you are dealing with thousands of contacts or sensitive business data, a dedicated desktop application is safer. These tools often allow for , which is vital if your JSON file uses non-standard labels (e.g., "cell_no" instead of "phone"). 3. DIY Python Script (For Developers)

You can import JSON into a spreadsheet, organize the columns to match vCard standards, and then use a "CSV to VCF" tool. This is a great middle-ground for those comfortable with Excel but not with coding. Key Data Mapping Tips

A transforms an array of contact objects (JSON) into one or multiple .vcf files. Each contact in the JSON becomes a BEGIN:VCARD ... END:VCARD block.

for variant in json_data: chrom = variant['CHROM'] pos = variant['POS'] id_ = variant['ID'] ref = variant['REF'] alt = ",".join(variant['ALT']) qual = variant['QUAL'] filter_ = variant['FILTER'] info = ";".join([f"key=value" for key, value in variant['INFO'].items()]) format_ = variant['FORMAT'] sample = variant['SAMPLE']['GT'] genotype = f"sample[0]|sample[1]" if len(sample) > 1 else sample[0]

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