Claude Token Counter
Estimate Claude token counts for your prompts.
Counts use GPT-family tokenization (o200k/cl100k). Claude counts are approximate.
How to Count LLM Tokens Online
Paste your prompt or message into the box and watch live token, character, and word counts. Pick a model/encoding—GPT-4o-style, GPT-4-style, or approximate Claude—to match how you plan API spend. This landing emphasizes Claude-oriented approximate counts. Counting runs locally with gpt-tokenizer for GPT-family estimates; Claude uses a character heuristic because Anthropic’s tokenizer differs. Clear the box to reset. No prompts are uploaded—useful when drafts contain confidential code or customer data. Beyond the basics, take a moment to preview results, confirm file names before downloading, and keep a copy of the original whenever the output will be submitted to a government portal or client. Bookmark sibling landings in this cluster so the next time you search for a narrower query you land on a page that already matches your intent. Internal links on this site connect related hubs—image tools, hardware testers, text utilities, and developer helpers—so you can move from conversion to compression to device checks without leaving Online Tools World.
Why Count Tokens Before You Call an API?
LLM APIs bill and truncate by tokens, not words. Guessing from word count underestimates cost and context usage. A browser token counter helps writers, developers, and students budget prompts, system messages, and RAG chunks. Long-tail landings (gpt token counter, openai tokenizer, claude token counter, count tokens online, tiktoken online) capture niche searches while sharing one screen. Link out to JSON formatter or word counter from related tools when users also need structure or readability metrics. Hardware tools are unrelated but available if they are preparing a full workstation. Search engines reward specific answers to specific jobs-to-be-done. That is why this page exists as a focused landing rather than burying the workflow inside a generic homepage. Use the related-tools section at the bottom to discover the hub page, sibling long-tail URLs, and a couple of cross-category tools that often appear in the same session. Keeping content detailed also helps humans: clearer steps, clearer limits, and clearer privacy expectations mean fewer failed uploads and fewer surprise permission dialogs.
Practical Use Cases
People open this page when a deadline is close and the format, size, device, or text style has to be right on the first try. Students preparing application photos, freelancers shipping assets to clients, remote workers checking mic and camera before interviews, social users styling bios, and developers estimating LLM prompt costs all benefit from a private browser tool that does not require installing software. Combine this page with other Online Tools World utilities when your workflow spans multiple steps—convert, compress, test hardware, then polish text—using the related links provided on each screen.
Key Features
- ✓Live token counts as you type or paste.
- ✓GPT-family tokenization via gpt-tokenizer in the browser.
- ✓Approximate Claude estimate with a clear disclaimer.
- ✓Companion character and word metrics for quick context.
- ✓No upload of prompt text—private by design.
- ✓SEO landings for tiktoken/OpenAI/Claude intents with shared UX.
- ✓Related-tools links to the hub, sibling landings, and useful cross-category pages for multi-step workflows.