Published: 2026-10-19
Count tokens in a text file.
Free LLM token counter: see how GPT-4 and GPT-4o split your prompt into tokens, which lines cost the most, and which wordy phrases to cut, with savings measured by re-tokenizing. Windows .exe, macOS, Linux. Uses tiktoken.
Generate blogs with the power of Langchain and OpenAI.. all you have to do is think about a domain.. we do the rest ✨
🌳 Zero-install Windows GUI directory scanner for LLM workflows. Portable EXE, token estimation, Markdown export with context window compatibility. | Scanner d'arborescence Windows portable pour workflows LLM.
Measure your codebase from the terminal — lines per language, duplicate code, complexity, token cost for AI agents, comment drift, change coupling, a refactor verdict per file, and what is safe to hand to an agent. JSON output, CI exit codes, PR diff mode and an MCP server. One dependency, 100% test coverage.
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Dump an entire codebase into one AI-ready file — Markdown, XML or JSON. Pure Bash, zero dependencies. Token budgets, model presets and --split for long contexts. 70+ tests · shellcheck-clean · MIT
DeepSeek Harness 插件：设置里的 Token 用量日历，按天/按模型统计会话 token 消耗（本地、零依赖）
Token Price Estimation for LLMs
Compare versions of an LLM prompt: word, character and line diff, word frequency change, token impact and cost per model. Markdown output for pull requests.
See token count changes, cost deltas, latency shifts, and a word-level diff of the actual responses — all in one command.
Combine a workspace or folder into a single Markdown/text file with filters and token estimates.
To associate your repository with the token-count topic, visit your repo's landing page and select "manage topics."