Collection

Developer Data Workflows

Format, inspect, convert, and validate payloads in the browser when you need a fast dev workflow without opening heavier tooling.

8 tools in this category

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Why this collection exists

This collection groups the TeaFun tools that are most useful when a workflow starts with raw data. It helps you move from pasted payloads to a verified result quickly without juggling several different apps.

Common use cases

  • Paste a minified API response into the JSON formatter, spot the malformed field, then copy the cleaned version straight into your test.
  • Convert a YAML config to JSON when a service rejects one format, then sanity-check an .env file before you deploy it.
  • Decode a JWT to read its claims and expiry while you debug a 401, and inspect the response headers that came back with it.

What This Collection Covers

These are the tools you reach for when a task starts with raw text someone pasted into a chat or a ticket: a JSON blob, a config file, a token, a log line, a stray header. Each tool runs entirely in your browser, so payloads never leave your machine — useful when the data comes from a production system you would rather not paste into an unknown web service. The set covers the four jobs that come up most: reformatting and validating, converting between formats (JSON, YAML, TOML, .env), decoding (Base64, JWT), and reading structured output such as HTTP headers and logs. Nothing here installs, signs you in, or stores your input.

How to Move Between These Tools

Most debugging sessions follow a chain rather than a single step. Start with whatever you were handed. If it is unreadable, run it through the JSON formatter or log formatter first so you can see the structure. If the shape is right but the format is wrong for the next system, use the YAML/JSON/TOML or env converter. If a value looks encoded, decode it with the Base64 tool or, for auth tokens, the JWT decoder to read the claims. When you need to know exactly what a server sent, the HTTP headers checker shows the raw response. Each result is plain text you can copy straight into the next tool.

Why a Browser-First Workflow

Heavy IDEs and desktop utilities are overkill when you just need to look at one payload. Opening a browser tab is faster than launching an app, and because every tool here is client-side there is no upload step and no account wall between you and the answer. That also matters for privacy: a customer's JSON, an internal log, or a signed token stays in the tab and is gone when you close it. The trade-off is that these are inspection and conversion tools, not full editors — for large-scale refactoring you will still want your usual environment. For a quick look or a one-off conversion, staying in the browser is simply less friction.

Stay on one page

Use the built-in workbench to switch between the most common tools in this workflow without opening a new page.

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🔒 All conversion happens in your browser. Nothing is uploaded.

More tools in this workflow

Use these dedicated tools when the job expands beyond the core workbench.

FAQ

When should I start with this collection?

Start here when your work begins with pasted data, config files, tokens, or headers and you want to inspect or convert them in sequence.

How is this different from the broader developer category?

The developer category shows every dev tool. This collection narrows the path to the tools that usually belong in the same payload-debugging or data-conversion workflow.

Is my data uploaded anywhere?

No. Every tool in this collection runs locally in your browser using standard web APIs. Your JSON, tokens, logs, and config files are never sent to a server, so you can safely paste data from internal or production systems.

Can I chain results between the tools?

Yes. Each tool outputs plain text, so a formatted or converted result copies cleanly into the next one — for example, decode a Base64 string, paste the JSON it contains into the formatter, then convert that to YAML.