Convert JSON to PDF Table

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.

Adobe created PDF (Portable Document Format) to show documents the same way across different devices and platforms.

PDFs have some cool features:

• They keep formatting intact, including fonts, images, and layout
• You can add interactive elements like forms and links
• They can be password protected for security
• Almost any device or operating system can open them

PDFs are great for keeping documents looking the same, but they can be tricky to edit compared to other formats.

Getting Data from PDFs

Konbert is really good at pulling structured data from PDFs. We can handle complex documents like invoices, bank statements, and financial reports. Our system uses advanced OCR, large language models, and smart algorithms to extract high quality data.

Here are some things our PDF data extraction can do:

• Find and extract tables accurately, even from tricky layouts
• Understand semi structured documents like invoices and receipts
• Handle many different bank statement formats
• Pull out key value pairs and form fields
• Work with multi page documents and process batches

People often use it for:

• Automating data entry from invoices and purchase orders
• Looking at financial data from bank and credit card statements
• Getting table data from research papers and scientific documents
• Digitizing old documents and archives
• Processing legal documents and contracts

Our system is very accurate and reliable. It works well for both personal use and big companies that need to extract lots of data.