Data Analysts
Use LLM Token Counter to prepare llm token counter results for repeatable reporting, exports, and data quality checks.
PRIVATE BY DEFAULT. INSTANT BY DESIGN.
Multi-Model LLM Token & API Cost Estimator
Local BPE estimates and transparent text-only API cost assumptions.
0 chars0 lines0 non-empty rows0 B UTF-8
0 B · .json
Your data stays in this browser.
Before & after: LLM Token Counter
BEFORE · INPUT
Analyze this dataset and summarize the key findings.
AFTER · OUTPUT
Local BPE token estimate with character/word totals and model cost comparison.
How to use LLM Token Counter
01
Add your source
Paste text or drop a local CSV, TSV, JSON or text file. Export Excel workbooks to CSV or paste their cells as TSV.
02
Choose settings
Select the desired format, cleanup options or expected output token budget.
03
Review the result
Convert locally and inspect the result. Token counts are estimates and costs use reference rates.
04
Copy or download
Copy the result, download it or send it to another local utility.
Real-world workflows
Software Engineers
Use LLM Token Counter to transform source content for integration fixtures, debugging, or code review directly in the browser.
E-Commerce Managers
Use LLM Token Counter to prepare storefront content or inspect integration data before passing it to your technical team.
Technical edge cases & frequently asked questions
Does this tool call an AI provider?
No. All parsing, token counting and cleanup happen locally in your browser. No prompt or dataset is sent to an AI provider.
Are tokens and costs exact?
Counts use local o200k BPE as a proxy across models. Chat framing, provider-specific tokenization, reasoning, tools and pricing changes can affect real totals. Costs are reference estimates, not bills.
Will compact formatting always save 40–70%?
No. Savings depend on the data and output format. The scorecard compares the actual output, including optional instructions, with the same dataset as prettified JSON. XML or YAML can be larger.
What files and limits are supported?
CSV, TSV, JSON arrays and text files are supported; Excel workbooks must be exported to CSV or pasted as TSV. Text over 1 MiB uses local workers and the safety cap is 64 MiB. Cleanup can alter meaningful punctuation or invisible joiners; review the result.
| Encoding | UTF-8 (text) |
|---|---|
| Processing | Local JavaScript / browser Canvas |
| Max recommended file size | 50 MB+ may work; browser memory and tool complexity determine capacity. Start smaller. |
| Server retention | 0 bytes — no server uploads |