How do I parse UTF8 JSON in Delphi with Json Data Objects?

Use the TJsonObject.ParseUtf8 method provided in the library, as shown in the README example, which handles UTF8 encoding directly without conversion for better performance.

Json Data Objects vs Delphi's built-in JSON library: which is better?

Json Data Objects often outperforms with its dual parser and intuitive API, but Delphi's built-in library is more standardized and vendor-supported, suitable for simple use cases.

Does Json Data Objects work for Android development in Delphi?

Yes, it explicitly supports ARM Android, making it a viable choice for Delphi Android projects, but verify compatibility with your specific Delphi version and setup.

How to format JSON output with indentation using Json Data Objects?

Call the ToJSON method with the Compact parameter set to False, as demonstrated in the README, to generate human-readable, formatted JSON with proper indentation.

Can Json Data Objects handle large JSON files efficiently?

Yes, it includes progress callback support for loading large strings, allowing you to monitor parsing progress and potentially cancel operations for big files.

What Delphi versions are compatible with Json Data Objects?

It supports Delphi 2009 to 10 Seattle, and may work with newer versions, but always check the GitHub repository for the latest updates and compatibility notes.

Json Data Objects

MITPascal

A fast, dual JSON parser for Delphi 2009+ with UTF8/UTF16 support, automatic object/array creation, and easy access modes.

GitHub

What is Json Data Objects?

Json Data Objects is a JSON parser library for Delphi 2009 and newer. It enables Delphi developers to parse, create, and manipulate JSON data efficiently, with support for UTF8 and UTF16 encoding without conversion. It solves the need for a fast, native JSON handling solution in Delphi applications across Windows and Android platforms.

Target Audience

Delphi developers building applications that require JSON parsing or serialization, particularly those targeting Win32, Win64, or ARM Android environments.

Value Proposition

Developers choose Json Data Objects for its dual parser performance, automatic object/array creation, and intuitive API that simplifies JSON handling in Delphi. Its support for multiple encodings and platforms makes it a versatile choice over basic or slower alternatives.

Overview

JSON parser for Delphi 2009 and newer

Use Cases

Best For

Parsing JSON in Delphi Win32/Win64 applications
Handling JSON data in Delphi Android projects

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452 stars170 forks0 contributors

Creating and serializing JSON objects with automatic structure management

Working with large JSON files using progress callbacks

Needing UTF8 and UTF16 JSON support without encoding conversion

Integrating JSON with Delphi's Variant type system

Not Ideal For

Projects primarily targeting iOS or macOS, where support is only 'may work' and not officially guaranteed.
Applications requiring integrated support for multiple data formats like XML or YAML, as this library is JSON-specific.
Teams using modern Delphi versions with built-in JSON libraries who prefer standard, vendor-supported solutions for simplicity and long-term maintenance.

Pros & Cons

Pros

Dual Parser Performance

Parses both UTF8 and UTF16 JSON without conversion, ensuring high-speed handling of different encodings as emphasized in the README's features list.

Automatic Structure Management

Automatically creates arrays and objects on access, reducing boilerplate code and simplifying JSON manipulation, as shown in the usage examples.

Intuitive API Design

Offers easy access modes with implicit operators and typed properties (e.g., .S['key']), making it feel native to Delphi developers, as highlighted in the README.

Flexible Output Options

Supports both compact and formatted JSON output modes, allowing developers to choose based on readability or size needs, demonstrated in the code snippets.

Cons

Limited Cross-Platform Support

Officially supports only Win32, Win64, and ARM Android; MacOS and iOS are noted as 'may work', which introduces risk for projects targeting those platforms.

Basic Feature Set

Lacks advanced JSON features like schema validation, streaming parsing, or deep integration with other data formats, which might be necessary for complex enterprise applications.

Potential Memory Overhead

Automatic creation of objects and arrays on access can lead to increased memory usage in performance-critical scenarios, a trade-off for ease of use.

Frequently Asked Questions

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