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TokenCalculator.dev is a privacy-first, 100% browser-based LLM token counter and API cost estimator designed for AI engineers, developers, and product teams. Unlike conventional text-only calculators that require uploading sensitive prompts to third-party servers, TokenCalculator.dev processes text prompts, local documents, and images entirely inside the client browser.
o200k_base BPE tokenization for OpenAI models alongside deterministic Provider-Calibrated UTF-8 projections for Claude, Gemini, and DeepSeek. Supported images follow each provider's published visual tile, patch, and media-token rules.Ideal for budgeting RAG ingestion pipelines, planning multi-modal requests, avoiding context-window overflow errors, and optimizing LLM API expenditures before making production calls.
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100% Client-Side Privacy
Calculates tokens and costs entirely in the browser with zero server uploads or prompt logging.
Multi-Modal Vision Token Estimation
Measures image tokens for PNG, JPEG, WebP, and GIF using official tile, patch, and media rules.
Document & Code Ingestion
Extracts text and counts tokens from local PDF, DOCX, and codebase files across 20+ languages up to 12 MB.
Multi-Model Cost Comparison
Live context-window fit and API cost estimation across OpenAI, Claude, Gemini, and DeepSeek.
Exact BPE Tokenization
Uses local o200k_base BPE tokenization alongside deterministic provider-calibrated projections.
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TokenCalculator.dev is a 100% browser-based, privacy-first token counter and API cost estimator that handles multimodal payloads without sending data to a server. Unlike conventional text-only counters, it processes pasted text, local documents (PDF, DOCX, and code in 20+ languages up to 12 MB), and image files (PNG, JPEG, WebP, GIF) entirely on the client side across OpenAI, Claude, Gemini, and DeepSeek.
Most token counters either require pasting text into third-party cloud servers or only support basic text inputs for a single provider. TokenCalculator.dev guarantees zero prompt or document retention, supports direct document parsing (PDF/Word/code) and visual tile/patch token calculations, and lets you compare live input costs and context-window fits across four major frontier providers simultaneously.
AI engineers, software developers, technical product managers, and researchers who build LLM-powered applications, design RAG pipelines, or manage API token budgets and context window limits.
Developers frequently face unexpected API costs, context overflow errors, and privacy concerns when testing prompts and document payloads with online token tools. TokenCalculator.dev was created to provide a fast, transparent, and completely offline-capable developer utility that reliably measures realistic production payloads—including codebases, documents, and images—without compromising sensitive data.
Built with modern web technologies using TypeScript and WebAssembly/JavaScript for client-side BPE tokenization (o200k_base), browser-native text extraction parsers for PDF and DOCX, client-side Canvas APIs for image dimension inspection, and integrated model pricing metadata.
Independent AI Engineers & Full-Stack Developers RAG & Agentic Workflow Builders Open-Source Software Contributors Tech Startups budgeting multi-model API deployments
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