Vision API Image Optimizer
Scale, down-sample, and adjust dimensions for visual parsing engine inputs.
Supports PNG, JPEG, and WebP images · 100% processed in browser
// Processing image...About This Tool
The Vision API Image Optimizer is a visual engineering utility engineered for developers building multimodal AI applications with Large Vision Models (LVMs) like OpenAI GPT-4o, Anthropic Claude 3.5 Sonnet, and Google Gemini 1.5 Pro/Flash.
High-resolution images uploaded directly to Vision APIs consume thousands of unnecessary vision tokens, increasing API request latency and inflating monthly token costs. This tool down-samples image resolution to vision model sweet spots (e.g., 512x512 low-detail tiles or 1024px/1568px long-edge constraints), converts images to WebP/JPEG, computes exact vision token consumption, and outputs copy-ready Base64 API JSON payloads.
How to Use
- Upload or Drop Image: Drag and drop any PNG, JPEG, or WebP image into the drop zone, or use the default high-res sample image.
- Choose Target Vision Preset: Select OpenAI GPT-4o High/Low Detail, Anthropic Claude 3.5 Sonnet, Google Gemini 1.5, or enter custom pixel bounds.
- Adjust Compression & Format: Tweak compression quality, scaling mode (contain/cover), or switch between WebP, JPEG, and PNG.
- Check Token & Cost Savings: Inspect real-time vision token calculations, file size reductions, and estimated API cost savings.
- Copy Payload Code or Download: Copy ready-to-use OpenAI, Anthropic, or Gemini Base64 API JSON code snippets, or download the optimized image file directly.
Common Use Cases & FAQ
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