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
- Paste your prompt into Tokenizer
- See exact token count before sending to API
- Understand which parts of your prompt are expensive
- Optimize prompts to reduce token usage
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.