JSON to YAML
Convert JSON to YAML format instantly.
How to use this tool
- 1Paste your JSON.
- 2Click Convert.
- 3Copy or download the YAML.
About JSON to YAML
JSON to YAML converts JSON objects into indentation-based YAML so configuration files, Kubernetes manifests, and CI pipeline definitions can be written in the format operators and developers prefer to read and edit by hand.
APIs and SDKs return JSON; infrastructure tooling expects YAML. A Kubernetes ConfigMap, a GitHub Actions workflow, a Helm values file, and an Ansible playbook all use YAML. Copying a JSON API response into a config file requires a format conversion, and doing that manually introduces indentation errors that are invisible until the parser rejects the file at deploy time.
Paste your JSON into the input panel and click Convert. The YAML output appears in the right panel, ready to copy or download. Processing runs entirely in the browser — no upload, no account.
Key order in the output may differ from the input because JSON object key order is not guaranteed by the spec, and YAML serializers may sort alphabetically or follow insertion order depending on the library. For most config files this does not matter, but if you are diffing YAML outputs across runs, consistent key order helps. Deep nesting in complex JSON schemas produces deeply indented YAML that is technically valid but hard to read — consider flattening or restructuring before committing to a repo.
Some JSON values have no clean YAML equivalent. JSON null becomes YAML null or ~. JSON numbers with very large exponents may serialize differently. Binary data encoded as Base64 strings in JSON survives as a plain string in YAML, which is usually fine. Undefined is not a valid JSON value and will not appear in the input. Review the converted YAML in your editor's YAML linter before committing, especially when the source JSON came from an API response that may contain unexpected types.
Code examples
JavaScript (js-yaml)
const yaml = require("js-yaml");
const obj = JSON.parse(jsonString);
const yamlOut = yaml.dump(obj, { indent: 2 });Python
import json, yaml
obj = json.loads(json_string)
print(yaml.dump(obj, default_flow_style=False, indent=2))Frequently asked questions
Different tools use different definitions and parsers, so small gaps are common. JSON to YAML applies JSON.parse then js-yaml dump with one consistent browser-side rule set. Hidden characters, stricter syntax, or a different tokenizer usually explain the mismatch. Reduce the input to a minimal sample, then add pieces back until the difference appears. Match the rule your destination actually enforces.
Treat the error as a signal that this environment is stricter or configured differently. Browser APIs reject malformed structures early instead of guessing. Convert to a boring intermediate when it helps—plain UTF-8 text, PNG, WAV, or an unlocked PDF—then retry. If the intermediate works, the original encoding was the problem. Keep that minimal sample for the next regression check.
Runtimes disagree even when feature names match. Locales, parser strictness, codec builds, and library versions differ between your browser and CI. Export the exact bytes from JSON to YAML, hash them, and compare in the pipeline. Align normalization steps so both systems see the same input. Use the browser result as a reference artifact, then make CI match it.
Desktop apps win on deep feature sets, batch farms, and specialized hardware paths. JSON to YAML wins on zero install, private local processing, and speed for the everyday job on this page. Choose desktop software for multi-hour editorial work or exotic edge formats. Choose this tool when you need a correct result quickly without uploading. Many people do a quick pass here first, then open the heavy suite only if an edge case demands it.
Prefer JSON to YAML whenever the input is personal, unpublished, customer-owned, or under NDA, because the core transform stays in your browser via JSON.parse then js-yaml dump. Cloud services can still help for formats your browser truly cannot decode, but you must trust their retention policy. Strip secrets before any upload. Privacy is usually the reason to stay local—not a longer marketing checklist.
Start from the best original input you still have. Change only what the destination requires. Prefer lossless intermediates when you must convert twice. Because the tool is local, iterate in small steps: tweak one setting, re-run, compare. Spot-check a short sample before batching anything important.
No account is required for normal use. The core json to yaml transform runs in your browser on your device using JSON.parse then js-yaml dump. You get on-screen output, a copy action, or a download without a mandatory ToolBrigade upload for that step. Keep your browser updated. A few lookup utilities may call public reference APIs for live fields only—they still do not need your private documents.
Lighter text, code, calculator, and many image jobs work on modern phones. Large video encodes and huge PDFs are happier on a plugged-in laptop with more RAM. Fully client-side flows can continue offline once scripts are cached; live lookups still need network. If a run seems stuck, try a smaller sample, free memory by closing tabs, and confirm the input is not truncated. Prove the path on a short fixture before blaming the algorithm.