Tokenizer for AI API Users: Reduce API Costs by 30%

AI API costs are out of control because developers can't see token usage. Tokenizer fixes that.

The Problem

A developer deploys an AI feature. Weeks later: $2,000 bill. No visibility into where tokens went. No way to optimize.

Tokenizer Solution

Real Cost Savings

**Startup**: $5k/month in OpenAI API costs **Problem**: Didn't understand token usage **Solution**: Used Tokenizer to audit all prompts **Changes Made**: - Removed 3 unnecessary context fields - Shortened system prompt by 200 tokens - Changed "show detailed reasoning" to "be concise" **Result**: 34% cost reduction = $1,700/month savings

Developer Workflow

1. Write your prompt for the API 2. Copy into Tokenizer 3. See token count + cost estimate 4. Optimize if needed 5. Deploy with confidence

Questions

How much can I save?

Most developers save 20-40% by optimizing prompt length and removing unnecessary context.

Works with all AI APIs?

Works with OpenAI, Claude, Gemini, and any LLM API. Token counts vary slightly by model.