JSON Formatter & LLM Token Optimizer

Optimize JSON payloads to reduce ambiguity and increase performance of downstream LLM models while keeping emissions in check.

Token Tamer is an online JSON formatter, beautifier, and validator (JSON lint) that pretty-prints JSON, highlights schema errors, and tracks token counts for OpenAI, Claude, and Model Context Protocol workflows. Minify JSON, normalize fields in the editor, and deliver cleaner data structures without ever leaving the browser.

  • ✓ Pretty-print + minify JSON instantly
  • ✓ Real-time validation with error pointers
  • ✓ Local only—data stays in your browser

Got feedback or token win stories?

Tell us about bugs, feature ideas, or how many tokens you shaved off your tool calls—we actually read it all. Drop a note via the contact form and help steer Token Tamer’s next upgrades.

Raw PayloadSize 0 B
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0 chars0 lines0 BLarge payloads may take a moment to analyze.
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Why tame your JSON?

Bloated JSON makes debugging hard and drives up LLM costs. Token Tamer is an online JSON formatter, beautifier, and validator that highlights heavy structures, flags schema issues, and keeps your payloads easy to review. Optimize JSON payloads to reduce ambiguity and increase performance of downstream LLM models while keeping emissions in check.

  • • Pretty-print or minify JSON with consistent indentation and spacing.
  • • Shrink token counts to cut API bills and inference latency.
  • • Remove noisy repetition so downstream prompts stay unambiguous.
  • • Lower the energy footprint of every request by trimming excess structure.

How it works

Paste, drop, or upload raw JSON to inspect it in the interactive JSON viewer. Token Tamer pretty-prints the payload, surfaces token counts by node, and lets you toggle off expensive paths while exploring top offenders and similar keys. All parsing happens locally so your data stays private.

Ready to start? Drop a document right into the editor above—analysis kicks in as soon as the JSON parses. Need deeper dives? Read our JSON formatter guide, LLM optimization playbook, or MCP best practices via the links below.

Frequently asked questions

What makes Token Tamer different from a standard JSON formatter?
Beyond beautifying JSON, Token Tamer maps token usage per branch so you can spot expensive structures before sending data to an LLM.
Does the analysis run in my browser?
Yes. Parsing, token counting, and embeddings all execute locally, so your JSON never leaves your device.
Which models can I estimate token costs for?
Select from the built-in OpenAI and Claude presets. Each model applies its own tokenizer so totals stay aligned with billing.
How do I trim token-heavy branches?
Use the exclude toggles in the tree view to simulate removing fields and instantly see the updated token savings bar.
Can Token Tamer validate malformed JSON?
The editor surfaces syntax errors with precise line and column pointers, helping you fix issues before running analysis.
Can Token Tamer handle large JSON files?
The analyzer streams data in the browser, so you can inspect sizeable payloads as long as your device has memory headroom.
Where can I learn more about using the tool?
Explore the linked guides covering JSON formatting, LLM token optimization, and Model Context Protocol best practices.
Is there a remote MCP server I can connect Token Tamer to?
Nope. Keeping everything inside your browser means your prompts stay private, your tokens stay yours, and I don’t have to foot the compute bill for a meta layer that would just reship your secrets elsewhere.If you spun up a remote MCP dispatcher, it would stop being private anyway—and someone would inevitably ask me to pay its GPU tab. Hard pass.
Why is the design so unapologetically neo-brutalist?
Because JSON debugging is already painful enough—our UI wears steel-toed boots so you know it means business, and the shadows double as motivational threats to bloated payloads.