JSON, YAML, and CSV utilities
Use dedicated pages for formatting, validation, and moving between common data formats.
Open JSON formatterDeveloper Data Tools
Browser-based utilities and technical guides for developers who need quick answers without opening five tabs and a spec.
Homepage
Paste a payload, token, timestamp, query string, or sample dataset and get an answer in the browser. Then use the guide library for the adjacent concepts developers keep having to explain to themselves and their teams: transport, TLS, DNS, APIs, realtime systems, databases, caching layers, and modern AI architecture basics.
Developer tools, guide pages, and site policy pages covering debugging workflows, networking, web systems, data infrastructure, and modern machine learning concepts.
Homepage Structure
DeveloperDataTools is organized around the actual formats and concepts that show up during development: structured payloads, encoded strings, tokens, timestamps, schedules, identifiers, hashes, query parameters, tabular exports, numeric bases, transport protocols, and model architectures. The homepage now acts as a directory instead of embedding a default tool directly into the page.
The tools are intentionally direct, and the guides follow the same principle. Use the tools for immediate data cleanup and inspection. Use the guides when you need the short technical mental model behind terms like TCP, TLS, DNS, transformers, or ChatGPT before diving into vendor docs, RFCs, or research papers.
Focused browser-based utilities for JSON, YAML, tokens, timestamps, hashes, encodings, tabular data, and related debugging workflows.
Use dedicated pages for formatting, validation, and moving between common data formats.
Open JSON formatterInspect encoded values, decode tokens, and clean request-oriented strings quickly.
Open JWT decoderUseful for logs, schedules, test data, automation, and everyday debugging chores.
Open epoch converterThese pages expand the site beyond utilities and cover the system concepts developers repeatedly bump into while debugging apps, APIs, infrastructure, and AI products.
Read guides on TCP, TLS, DNS, HTTP, REST APIs, and WebSockets in practical language.
Open guide hubUse the database and CDN explainers to understand latency, caching, and data path tradeoffs.
Read databasesFollow CNN, RNN, transformer, and ChatGPT explainers without wading through academic notation first.
Read transformersPeople usually land on a developer utility site because they are in the middle of a concrete task. This directory groups the most common workflows so you can move from a raw input to the right tool or explainer without guessing which page name to click.
Use JSON, Base64, JWT, query string, and URL tools together when debugging requests, auth flows, and webhook samples.
Open debugging toolsMove between JSON, YAML, and CSV when cleaning exports, copying config blocks, or preparing fixtures for tests.
Open conversion toolsRead the guide library when the bug is no longer just formatting and the real question is how requests, caches, encryption, or model inference actually work.
Open guide libraryDeveloperDataTools is intentionally narrow. It focuses on common debugging and data handling tasks that appear across API work, QA, backend development, operations, and technical support. The tools are direct, but the site is not meant to stop at thin utility output. Each tool page is paired with plain-language context so a visitor can understand the format, the common failure modes, and the limits of the tool.
The guide side of the site exists for the same reason. Many developers do not need a full specification or academic paper every time they forget how DNS caching behaves, why TLS is separate from HTTP, or what attention means in a transformer. A shorter original explanation can be the right first layer before deeper documentation.
The goal is to publish pages that are useful even if the interactive widget is ignored. Tool pages should explain the task, typical inputs, practical caveats, and related workflows. Guide pages should provide an original summary, a visual model where helpful, and links to adjacent concepts so readers can continue learning through the stack.
If you want to understand how the site handles content quality, corrections, and privacy-sensitive tool design, read the about, editorial standards, privacy, and contact pages linked below.