JSON to Python: dataclass vs TypedDict vs Pydantic
Convert JSON into typed Python objects — compare dataclass, TypedDict and Pydantic, with code examples and guidance on when to use each for safe parsing.
Developer Blog – JSON, CSV, YAML, JWT & Tools
Learn JSON formatting, conversions, debugging, JWT decoding, YAML for DevOps, and best practices for working with structured data. All tutorials are designed to work smoothly with JSONViewerTool.com.
Generate Go Structs from JSON (with the Right Tags and Types)
Turn a JSON payload into a correct Go struct: the json tags, the right numeric types, pointers for nullables, and the gotchas that cause silent zero-values.
Generate TypeScript Types from JSON (and Where Auto-Generators Trip Up)
Generate TypeScript interfaces from JSON, and the predictable gaps generators leave: nullable fields, empty arrays, optional fields and literal unions.
Turn JSON into SQL INSERT Statements (Without Writing a Script)
Convert a JSON array into SQL INSERT statements, plus the gotchas that corrupt data: quotes, NULL vs empty string, booleans, nested objects and big batches.
How to Get JSON into Excel: 3 Reliable Ways
Three reliable ways to get JSON into a proper Excel grid: the CSV path, Power Query for nested data, and a pandas script for automation — plus the reformatting traps to avoid.
How to Flatten Nested JSON (and Unflatten It)
What flattening nested JSON means, why you'd do it (CSV, dataframes, key-value stores), the dot/bracket key notation, and how to flatten and unflatten it in JavaScript and Python.
JSON Patch vs JSON Merge Patch (RFC 6902 vs 7396)
Two standard ways to send just the changes to a JSON document: how RFC 6902 (operations) and RFC 7396 (merge) work, the gotchas with arrays and null, and when to use which.
JSONPath Cheat Sheet: Syntax & Examples to Query JSON
The JSONPath operators in one cheat sheet, worked query examples, how to filter JSON by condition, JSONPath vs JMESPath, and using JSONPath in JavaScript and Python.
NDJSON & JSON Lines (JSONL): What It Is and How to Use It
Why a multi-gigabyte log file isn't one big JSON array: what newline-delimited JSON (JSON Lines / JSONL) is, why it beats an array for streaming and large datasets, and how to read, write, and convert it.
JSON Schema Tutorial: How to Write & Validate JSON Schema
What JSON Schema is, how to write one from scratch, the keywords you'll actually use (type, properties, required, enum, format), and how to validate JSON against it in JavaScript (Ajv), Python (jsonschema), and with no code.
How to Compare Two JSON Files (and Read the Diff Correctly)
Why JSON.stringify equality lies, the gotchas that fool naive diffs (key order, array order, types), and how to read a semantic diff — with JavaScript and Python examples.
JSON Payload Size: How to Measure It (and Shrink It)
Why .length lies about your JSON size, the API limits you'll actually hit, and the three changes that genuinely shrink a payload — with Node.js and Python examples.
How to Escape and Unescape JSON Strings
What JSON escaping is, the characters you must escape, and how to escape or unescape JSON with examples in JavaScript, Python, Java and C#.
What Is JSON? Complete Beginner’s Guide
A beginner-friendly explanation of JSON, its structure, examples, and how to format or validate JSON easily.
How to Format and Beautify JSON Online
Step-by-step guide to turning messy JSON into structured, readable output using an online formatter.
JSON vs XML – Which One Should You Use in 2025?
A detailed comparison between JSON and XML for APIs, data transfer, configuration and modern applications.
Convert JSON to CSV – Complete Guide for Developers
Learn how to convert JSON to CSV for Excel, Google Sheets, Power BI and other reporting tools.
Convert CSV to JSON – Step-by-Step Guide
Turn spreadsheet CSV files into clean JSON objects for APIs and configuration files.
JSON → YAML Best Practices for DevOps & Kubernetes
Convert JSON to YAML correctly for Kubernetes manifests, Docker Compose files and CI/CD pipelines.
How to Decode JWT Tokens Safely
Understand JWT structure, decoding, and how to inspect tokens without sending them to a remote server.
Common JSON Errors & How to Fix Them
Missing commas, wrong quotes, unquoted keys – see the most frequent JSON mistakes and how to fix them quickly.
Top 10 JSON Tools Developers Should Use in 2025
A curated list of essential tools for viewing, formatting, converting and debugging JSON efficiently.
How to Minify JSON for Production
How JSON minification works, when to use it, and how to minify JSON online for smaller, faster responses.
What You Will Learn in the JSONViewerTool Blog
The JSONViewerTool blog focuses on practical developer problems instead of generic theory. Each article is written to help you complete a real task such as formatting invalid JSON, converting between formats, validating payload structure, or debugging API responses under time pressure. Tutorials include concrete examples so you can follow the same process with your own data.
We cover beginner and advanced topics. If you are new to JSON, start with the basics article and move to formatter and validator guides. If you already work in production environments, you can jump to topics like JSON to CSV workflows, YAML conversion for DevOps, payload optimization, and safe JWT inspection.
Who This Content Is For
- Frontend and backend developers integrating APIs.
- QA engineers validating payload correctness between environments.
- Data analysts converting JSON exports for reporting tools.
- Students learning structured data formats and troubleshooting syntax errors.
How We Structure Tutorials
Most posts follow a repeatable structure: problem statement, quick explanation, step-by-step workflow, and edge cases to watch. This format helps readers move from confusion to working output quickly. It also makes the content easy to reference later during debugging sessions.
When conversions are involved, we explain trade-offs clearly. For example, JSON to CSV can flatten nested fields, and YAML to JSON may remove comments. Knowing these details early helps prevent downstream issues in spreadsheets, ETL jobs, and application configs.
Why This Matters for Production Work
Structured data issues often block releases, break integrations, or create reporting errors. A reliable process for validating and transforming data reduces incidents and shortens troubleshooting cycles. These guides are designed to support that process with practical, tool-backed steps you can use immediately.
If there is a topic you want covered, share it through the contact page with a sample input and expected output. Reader feedback directly influences new tutorials and updates.