Screenshot OCR · for ChatGPT

Screenshot to Text for ChatGPT

Pull text out of any screenshot in your browser, then paste it into ChatGPT — faster than uploading the image and free of vision-token cost.

Open Screenshot to Text

ChatGPT's context window

GPT-4o handles 128K tokens. A typical screenshot of a paragraph is 100–500 tokens once OCR'd.

GPT-4 Vision charges ~85 tokens per low-res tile + ~170 per high-res tile. A full-page screenshot in detail mode can hit 1,500+ tokens before you ask anything.

Want exact numbers? Count tokens for ChatGPT

Image rules to know

If you do upload the image, ChatGPT resizes it so the longer edge is ≤2048 px. Tiny text below 12 px tends to mis-OCR — crop tighter or upscale before sending.

The workflow

  1. Drop the screenshot into the OCR tool — Tesseract runs locally and returns clean text in ~2 seconds.
  2. Copy the recognized text and paste it into ChatGPT.
  3. Ask your question — “Summarize this”, “Translate this”, “Find the bug”.
  4. If the screenshot is a chart or UI, send the original image instead — that's where vision actually adds value.

Common pitfalls

  • Uploading every screenshot to GPT-4 Vision when text-only OCR would do the job for free.
  • Not cropping — extra UI chrome OCRs into junk lines that confuse the model.
  • Trusting the OCR for code without a spot-check; punctuation and indentation are common errors.

Tool

Screenshot to Text

OCR screenshots into AI-ready text.

Frequently asked

When should I use vision vs OCR?

Use vision when the image's meaning depends on layout (charts, diagrams, UI). Use OCR when you only need the text.

Does OCR work on handwriting?

Tesseract handles printed text well. Handwriting accuracy is poor; for that, GPT-4 Vision is currently the better tool.

Is the screenshot uploaded anywhere?

No. OCR runs entirely in your browser via WebAssembly. Nothing leaves your device.

Screenshot OCR for other models