AI has historically struggled with text in images — misspelled words, garbled characters, unreadable type. In 2026, some tools have solved this. We tested 8 tools on 30 text-heavy prompts to find out which ones handle type correctly.
Test Results
Accuracy (% of text rendered correctly): DALL-E 3: 87%. Ideogram: 82%. FLUX: 75%. Midjourney V6: 68%. Adobe Firefly: 72%. Stable Diffusion XL: 60%. Lovart: 80% (uses FLUX + post-processing). Google Imagen 3: 70%. The gap between leaders and laggards has narrowed significantly since 2024.
Best for Logos with Text
Winner: DALL-E 3 (87% accuracy on single words). Runner-up: Ideogram (82%). For logo text: specify the exact spelling in quotes and the font style (serif, sans-serif, script). Even the best tools need manual verification.
Best for Poster Typography
Winner: Ideogram (handles multi-line text best). Runner-up: DALL-E 3. For posters: specify font size hierarchy (headline, subhead, body) and alignment (center, left). Mixed fonts are still challenging for all tools.
Best for Social Media Text
Winner: Lovart (generates complete designs with text overlay). Runner-up: Canva (template-based, text is always correct). For social media: generate the image with AI, add text in Canva or Figma for guaranteed accuracy.
Workarounds for Text Issues
1. Generate the image without text, add text in post-production (most reliable). 2. Use tools with text post-processing (Lovart corrects common errors). 3. Specify text in quotes with exact spelling. 4. Always verify text before publishing — even 'accurate' tools make mistakes.
Final Verdict
For text-heavy designs: DALL-E 3 or Ideogram (best accuracy). For complete designs with text: Lovart (80% accuracy + post-processing). For guaranteed text accuracy: generate the image with AI, add text manually in Canva/Figma. The safest workflow: AI for imagery, manual for typography.
