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Midjourney Prompt for Correcting Text

Midjourney is an artificial intelligence image generation tool renowned for its exceptional visual quality. However, one of its major challenges remains the rendering of text in generated images. Missing letters, spelling errors, and distorted characters are frequent issues users encounter. Correcting text in a Midjourney image requires a methodical approach to prompt engineering. By combining precise instructions on typography, placement, and character style, it is possible to obtain readable text faithful to your intention. This page provides optimized prompts to maximize text accuracy in your Midjourney creations. Whether you want to generate a logo with a brand name, a poster with a slogan, or a mockup with embedded text, the techniques presented here will help you significantly reduce typographical errors. We will cover key parameters, formulations that force Midjourney to respect spelling, and tips for achieving clean text rendering from the first generation.

The prompt

Midjourney

A clean, professional design featuring the exact text "YOUR TEXT HERE" written in bold, modern sans-serif typography, perfectly spelled with no errors, each letter clearly defined and legible, high contrast text on a minimalist background, the words are centered and prominently displayed, crisp sharp lettering with no distortion or extra characters, professional graphic design quality, 8K resolution --style raw --stylize 50 --quality 2

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Why it works

This prompt works thanks to three key mechanisms: using quotation marks around the exact text forces Midjourney to treat the string as a literal element to reproduce. The --style raw parameter reduces the model's artistic interpretation, limiting creative distortions applied to characters. Finally, --stylize 50 maintains a low level of stylization to prioritize text fidelity over overall aesthetics.

Expected result

You will obtain a sharp image with clearly legible, correctly spelled text well positioned in the center of the composition. Letters will be distinct, without stray characters or distortions, against a clean background that highlights the typography. The result will be directly usable for mockups, presentation visuals, or communication materials.

Variants by level

FAQ

Why does Midjourney make spelling mistakes in generated texts?
Midjourney is a diffusion model trained on images, not text. It learns to reproduce the visual appearance of letters without understanding their linguistic meaning. Each character is treated as a graphic shape, leading to confusion between similar letters (like 'n' and 'h'), duplicates, or omissions. Recent versions (V5 and V6) have significantly improved text rendering, especially thanks to quotation marks that signal the model to reproduce an exact sequence of characters.
How to maximize the chances of getting correct text on the first try?
Several techniques significantly increase accuracy: always enclose your text in double quotation marks, limit yourself to 3-4 words maximum per generation, use the --style raw mode to reduce artistic interpretation, lower the --stylize parameter between 30 and 80, and specify in the prompt that each letter must be distinct and legible. If the result is unsatisfactory, use the Vary (Subtle) function on the best variation rather than restarting a complete generation.
Is there an alternative if Midjourney cannot render my text correctly?
If the text remains incorrect after several attempts, the best approach is to generate the image without text and then add typography in post-production with a tool like Canva, Photoshop, or Figma. You can also use Midjourney's inpainting feature to regenerate only the text area with a targeted prompt. Finally, tools like Ideogram or DALL-E 3 are currently more effective than Midjourney for text rendering if that is your primary need.

Related prompts

How to use this prompt

  1. Copy the prompt with the button above.
  2. Paste it into ChatGPT, Claude or your favorite AI assistant.
  3. Replace the bracketed variables with your details, then refine the result.

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