QWE AI Academy Most AI image generators produce gibberish when you ask them to add text. “COFFFEEE” instead of “COFFEE.” Letters that melt into abstract shapes. Words that break physics.
Ideogram fixes this. 90% accuracy as of March 2026. Not perfect, but closer than anything else right now.
The Prompt Formula That Works
Here’s the structure that produces consistent results, according to Ideogram’s official prompting guide:
[Subject] + [Environment/Context] + [Text in “quotes”] + [Style descriptor]
Real example: “A vintage travel poster featuring a mountain landscape, with the text ‘EXPLORE MORE’ in bold serif typography, 1950s aesthetic”
Quotation marks tell the model you want exact text reproduction. Skip them and “Morning Coffee” might become a sunrise scene.
One to four words: 90%+ accuracy. Full sentences? About 70%. Need a paragraph? Add it later in Photoshop.
What Breaks (The Part Tutorials Skip)
Non-Latin Scripts Fail Hard
The official docs admit this: “text using a non-Latin alphabet or accented Latin characters may have difficulty being generated correctly, if at all.”
Cyrillic, Arabic, Chinese, Japanese – accuracy drops off a cliff. The model was trained mostly on English typography.
Fix: Generate with placeholder English text, swap in your target language using external tools afterward. Not pretty, but it works.
Three People? Faces Break, Fingers Multiply
Ideogram handles single subjects well. Two people? Usually fine. Three or more?
Users who tested 3,000+ generations report the pattern: deformed faces, wrong finger counts, limbs at impossible angles. This isn’t a prompting issue – it’s baked into the model. All diffusion models struggle here, and Ideogram hasn’t cracked it yet.
Keep people small in frame or use distant shots. Close-ups of groups rarely work on the first try.
The Upscaler Invents Details You Didn’t Ask For
Ideogram’s built-in upscaler doubles resolution + invents detail. Sometimes that detail contradicts your design.
The “resemblance” slider (0-100) controls how closely it follows your original. Set it to 80+ for text-heavy work or you risk introducing artifacts in typography.
Pro tip: Download the base generation first. Upscale second. If the upscaler adds unwanted elements, you still have the original. (Learned this after losing a perfect 4-word logo.)
The Actual Workflow
- Sign up at ideogram.ai using Google or Apple. Your username is permanent and becomes part of your public profile URL – choose carefully.
- Free tier gives you 10 slow credits per week (about 40 images). Credits reset every Saturday at 00:00 UTC per official docs.
- Write your prompt using the formula above. Put critical details first – the model weighs the opening 100 characters more heavily.
- Select style preset: “Design” for text-heavy graphics, “Realistic” for photographic looks. Version 2.0 introduced specialized models for each, so this choice affects more than filters.
- Choose aspect ratio before generating. Cropping afterward works but loses edge detail. The model composes differently for 1:1 vs 16:9.
- Hit Generate. You get four variations. Each takes 15-30 seconds on priority queue, longer on free tier.
- Check text at 100% zoom. Small text sometimes develops artifacts invisible in thumbnails.
All free-tier generations are public. They show up in Ideogram’s community gallery immediately. Creating client work? You need Plus ($8/month as of early 2026) minimum for private mode.
When to Use Something Else
Ideogram: 90% text accuracy. Midjourney: 30%. That’s massive. But text accuracy is only one axis.
| Task | Best Tool | Why |
|---|---|---|
| Posters with readable text | Ideogram | Core specialty, 90%+ accuracy |
| Photorealistic portraits | Midjourney / DALL-E 3 | Better skin texture, facial detail |
| Artistic/painterly styles | Midjourney | More sophisticated aesthetic range |
| Consistent brand assets | Ideogram (with Style Reference) | Upload 1-3 reference images to guide aesthetic |
| Complex infographics | Manual design tools | AI still can’t reliably position multiple text blocks |
If you’re not adding text to images, Midjourney will likely produce more visually striking results. Ideogram optimizes for legibility over artistic sophistication.
Think of it this way: Ideogram is a specialist. It does one thing (text rendering) better than anyone else. For everything else, you might want a generalist.
What You’ll Pay
Verified from multiple pricing aggregators as of March 2026:
- Free: 10 slow credits/week (~40 images). Public only. JPG downloads.
- Basic ($7-8/month): 400 prompts/month. Still public. Faster queue.
- Plus ($15-20/month): 1,000 prompts. Private mode enabled. PNG downloads.
- Pro ($48-60/month): 3,000 prompts. Batch generation. Priority support.
Each prompt generates 4 images, so 400 prompts = 1,600 images if you count all outputs.
Most tutorials say start with Plus. I disagree. Exhaust the free tier first. Generate 40 images. Test your actual use case. Designing in Chinese? Need crowd scenes? You’ll hit the limitations before paying.
The Hidden Feature: Batch Generation
Batch Generation lives in the Pro plan. Upload a CSV with hundreds of prompts, generate them all at once.
Use case: You run a print-on-demand store. You need 50 motivational quote designs. Write prompts in spreadsheet rows, upload, get 200 variations (4 per prompt) in under 10 minutes.
The interface is rough – basic CSV template, minimal docs – but when it clicks, it’s the fastest way to generate design variations at scale.
Version 3.0 Changed This
Ideogram 3.0 shipped March 2025. Official announcement highlighted: better photorealism, improved prompt adherence, faster inference on Turbo tier.
Text accuracy didn’t jump – already at 90%. The real upgrade? Compositional coherence. Earlier versions sometimes placed text in visually awkward positions. V3 understands how typography integrates with background elements.
Style References also arrived: upload up to 3 example images, model matches their aesthetic. Matters for brand consistency. (Remember when describing a specific visual style in words was hit-or-miss? This fixes that.)
FAQ
Can Ideogram generate text in languages other than English?
English works. Spanish, French, Italian show decent results. Non-Latin scripts (Arabic, Chinese, Japanese, Korean)? Accuracy drops hard per official docs. Plan to add those manually or test extensively before committing to paid workflow.
Why do my upscaled images look different from the originals?
The upscaler is generative – it adds detail using AI, and sometimes that AI makes creative decisions you didn’t ask for. The “resemblance” slider controls how closely it follows your original (0 = creative freedom, 100 = strict adherence). For designs where text placement matters, set resemblance to 80-100. Lower values risk artifacts or shifted letters. Always keep the pre-upscaled version as backup.
What’s the fastest way to fix a misspelled word in a generated image?
Three options: (1) Use Canvas/Magic Fill to paint over the error, regenerate just that section – works if it’s a single letter, takes ~20 seconds. (2) Remix the image with more explicit prompt, reduce other complexity. (3) Regenerate from scratch with adjusted wording, can take multiple attempts. Official troubleshooting docs say it’s often easier to fix image content while keeping text right than the reverse. That counterintuitive advice has saved me hours.