Free Image to Text Converter – OCR Extract Text from Images

Codex
Selected image preview
Reading image… 0%
Extracted Text

Codex reads text out of images entirely in your browser using an open-source OCR engine — your image is never uploaded to a server. The first run in a language downloads a small recognition file, which is then cached by your browser for next time. Clear or low-contrast scans, handwriting, and stylized fonts will reduce accuracy.

About Codex

Codex extracts text from a photo, screenshot, or scan using optical character recognition (OCR) — no account, no upload, no server round-trip. Pick a language, drop in an image, and copy or download the text it finds.

Features

  • Runs OCR entirely in your browser
  • Supports 11 common languages
  • Drag-and-drop or click-to-browse upload
  • Live progress as recognition runs
  • Copy to clipboard or download as .txt
  • Nothing is uploaded — your image stays on your device

How to use it

  1. Choose the language that matches the text in your image.
  2. Drop an image onto the box, or click it to browse for one.
  3. Click "Extract Text" and wait for recognition to finish.
  4. Copy the result or download it as a plain text file.

Frequently asked questions

Is my image uploaded anywhere?

No. Recognition runs locally in your browser using an open-source OCR engine (Tesseract). The image file is never sent to a server — only the small language recognition data is downloaded once, from a public CDN, and then cached.

Why did the extraction come out wrong or messy?

OCR accuracy depends heavily on image quality — low resolution, tilted text, glare, low contrast, handwriting, and decorative fonts all make recognition harder. Cropping tightly to just the text and using a clear, well-lit, high-resolution image usually helps.

Can it read handwriting?

It's built for printed and typed text. Handwriting recognition is a much harder problem, and results on handwritten text will generally be unreliable.

Why does it take a while the first time?

The first time you use a given language, your browser downloads a small recognition data file for it. After that, your browser caches it, so subsequent runs in that language are faster.

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