Convert PNG to JSON

PNG (Portable Network Graphics) is a popular image format that keeps data quality while compressing files.

PNG files have some cool features:

• They compress without losing quality
• You can make parts of the image see through
• They support many colors (up to 48 bit true color)
• They work great for images with text, logos, or sharp edges

When we extract data from PNGs, they might contain:

• Screenshots of data tables or spreadsheets
• Graphs, charts, or other ways to show data visually
• Scanned documents or receipts

People often use PNG image data extraction for:

• Turning printed or handwritten data into digital form
• Getting information from charts and graphs
• Changing visual data into editable formats
• Automating data entry from image sources

By changing PNG images with data into formats like CSV or Excel, you can turn visual information into organized, analyzable data. Then you can process it more or use it in various data analysis tools.

JSON (JavaScript Object Notation) is a lightweight data format that's easy for humans to read and write, and easy for machines to parse and generate.

Originally created for JavaScript, JSON quickly became the go-to format for web data exchange because it's simple and versatile. Now it's used across many programming languages and platforms.

JSON is a staple in web applications. It can represent structured data from simple key-value pairs to complex nested objects and arrays, making it perfect for client-server communication.

Schema

JSON's flexible structure is great, but it can make data integrity and processing tricky, especially with large or complex datasets.

Konbert automatically figures out the schema of your JSON data. We scan your JSON file to identify its structure, making sure all data is accurately captured and maintained throughout the conversion process. This preserves the integrity of your information.

Character encoding

According to RFC 8259, strings in uploaded JSON files should be encoded in UTF-8.

If your file has non UTF-8 characters, you might run into errors when parsing your data.

Nested data

We can read and flatten nested objects and arrays if you want to convert them to flat data like CSV or Excel.