{ }
Configuration formats
Move between JSON, YAML, and TOML while keeping format semantics visible.
Local-first developer workbench
Convert and inspect JSON without handing it over.
A free online JSON converter and developer format workbench. Validate, convert, format, and inspect JSON, YAML, XML, TOML, CSV, and raw bytes in your browser — no upload, no sign-up, and no payload in the URL.
- Conversion payloads
- Browser memory only
- Generated URLs
- None
- Diagnostics
- Line, column, and byte
Proven workflows
Built for the job after “convert.”
Configuration
JSON to YAML workbench
Exact JSON errors, formatting policies, platform presets, conversion metrics, and an option-change diff.
{
"name": "web",
"replicas": 2
}name: web replicas: 2
Open workbench
Text & bytes
Hex decoder & byte inspector
Strict ASCII or validated UTF-8, source-located errors, control names, and a synchronized byte table.
48 65 6C 6C 6F 0A
004872H
Open workbench
Multi-format
Unified format workspace
One JSON source with seven synchronized outputs and honest stops for incompatible structures.
YAMLSchemaTypeScript
Open workbench
A reliable loop
From raw payload to reviewed output.
- 01
Validate
Catch syntax and encoding errors at the exact source location.
- 02
Transform
Choose output rules that fit the job instead of accepting a generic default.
- 03
Inspect
Review types, bytes, warnings, and format limitations before export.
- 04
Export
Copy or download from browser memory; never create a payload URL.
All tools, organized by work
Find the next step, not another flat directory.
Every canonical converter remains available. The navigation now groups tools around developer jobs so priority workflows connect to useful previous and next steps.
↔
APIs & data handoff
Prepare CSV, XML, tables, SQL, and DynamoDB payloads for the next system in the workflow.
V
File viewers
Open a file and read its structure, without waiting for an editor to load the whole thing.
?
Inspect, validate & repair
Validate, format, repair, compare, query, and reshape payloads before they ship.
T
Generate developer types
Turn representative JSON into schemas, interfaces, validators, and language types.
0x
Text & bytes
Decode byte strings and transform text encodings without uploading the source.
Reference asset
JSON versus YAML versus TOML: pick by job, not habit.
The three formats overlap but are defined by different specifications with different type systems. This guide summarizes the official documents; convert between formats with the JSON to YAML workbench, the JSON to TOML converter, or the reverse YAML to JSON and TOML to JSON tools.
| Format | Best for | Strengths | Watch out for | Specification |
|---|---|---|---|---|
| JSON | APIs, data interchange, machine-first pipelines | Strict, unambiguous syntax; parsers everywhere; explicit types for null and booleans | No comments, no trailing commas, and no datetime type | RFC 8259 |
| YAML | Human-edited configuration: Kubernetes, Compose, CI workflows | Comments, anchors for reuse, readable nested structure, multi-document streams | Indentation is structural; unquoted strings like yes or 2026-07-18 can be read as other types | YAML 1.2.2 |
| TOML | Application and tool configuration: Cargo.toml, pyproject.toml | Explicit types including datetimes, obvious table semantics, hard to mis-parse | No null value; deeply nested data becomes verbose compared with JSON or YAML | TOML v1.0.0 |
Verifiable privacy
Local processing is a system boundary, not a badge.
Converter functions execute in the downloaded page. Text and local files are read into browser memory; there is no conversion API route and no share feature that writes input into an address.
Vercel Analytics records pageviews and a small allowlist of product events. Those events contain a tool ID, outcome, optional preset or mode, a stable error category, and a coarse size bucket—never input, output, filenames, or raw error text.