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  "path": "/t/improving-arabic-text-rendering-in-ai-image-generation/1376545#post_1",
  "publishedAt": "2026-03-12T18:58:07.000Z",
  "site": "https://community.openai.com",
  "textContent": "Subject: Improving Arabic Text Rendering in AI Image Generation\n\nDear OpenAI Team,\n\nI would like to share an important suggestion regarding the performance of AI image generation systems such as DALL-E when rendering Arabic text.\n\nMany Arabic-speaking users appreciate the impressive capabilities of AI-generated images. However, one recurring issue is that Arabic words inside generated images often appear with spelling mistakes, missing letters, incorrect character connections, or misplaced diacritics.\n\nBecause Arabic is a connected script written from right to left, accurate rendering requires careful handling of character shaping and ligatures. Currently, many generated images produce visually appealing designs but contain incorrect Arabic text, which limits their usability for posters, calligraphy, greetings, branding, and educational content.\n\nImproving Arabic text generation would create significant value for millions of users across the Middle East and North Africa. It would also open strong opportunities in areas such as Arabic calligraphy design, social media graphics, advertising, and cultural content.\n\nOne potential solution could be integrating a post-processing layer that validates and renders Arabic text using proper font engines or language-aware models before final image generation.\n\nEnhancing Arabic text accuracy would greatly strengthen the experience for Arabic users and expand adoption in a large and growing market.\n\nThank you for your continued innovation and efforts in advancing AI technology.\n\nBest regards\nSameh Al-Sadah",
  "title": "Improving Arabic Text Rendering in AI Image Generation"
}