Best AI Image Model for Text in Images, by Job

What this tool does

• For text baked into a generated image — posters, signage, packaging mockups — VdoBloom's internal model routing guide names Seedream 4.5 Text-to-Image as the best pick for text and lettering. It costs 7 credits per image and generates up to 4K.
• For photoreal subjects that also need clean typography, Qwen Image 3.0 Pro: 1K or 2K, 8 aspect ratios, 6 credits at 1K and 7 at 2K.
• For typography-heavy layout work — flyers and banners — Qwen Image 2.0 Pro at 12 credits per image.
• To change text that already exists in an image, use an edit model: Seedream 4.5 Edit (7 credits, multi-image, described in-repo as strong for text and lettering changes) or Qwen Image 3.0 Pro Edit (6 credits at 1K, 7 at 2K, the roster's best typography and detail preservation).
• For non-Latin scripts, Seedream 5.0 Pro is the multilingual text option — 10 credits at Standard, 19 at High, up to 10 reference images, with multi-reference fusion and layer separation.
• For a logo or wordmark you need as clean scalable shapes, Recraft V4 Vector (14 credits) and Recraft V4 Pro Vector (24 credits) vectorize an image into an SVG-style result.
• For brand-locked color in generated text art, Recraft V4 (12 credits) and V4 Pro (22 credits) expose a color-palette control and exact pixel dimensions — 14 sizes from 1024×1024 to 1536×768 on V4, and 2048×2048 to 3072×1536 on V4 Pro — instead of aspect ratios.
• Higher resolution helps small text survive: 4K output is available on WAN 2.7 Image (4 credits), Seedream 5 Lite at High quality (6), Seedream 4.5 (7), GPT Image 2 (8), ImagineArt 1.5 Pro (12), Nano Banana 2 (15), WAN 2.7 Image Pro (18) and Nano Banana Pro (24) — and on the edit side, Riverflow 2.0 Pro (27).
• Two GPT Image 2 constraints to plan around before choosing it for a text-heavy layout: the 'auto' aspect ratio forces 1K output, and the 1:1 square cannot be rendered at 4K.
• When the text is printed on a real product you uploaded, VdoBloom's product-photo prompts append an explicit lock — preserve the exact product shape, dimensions, color, packaging design, brand name, and all printed text from the reference image, changing only background, scene and lighting.

How it works

1. 1.Decide which of the four text jobs you have

   Generating new text into a fresh image; editing text that already exists in a photo; rendering a non-Latin script; or producing a wordmark you need as scalable vector shapes. Each has a different best model, and picking by job is more reliable than picking by version number.

2. 2.Choose the model

   New text on posters and signs: Seedream 4.5 (7 credits). Realism plus typography: Qwen Image 3.0 Pro (6 at 1K, 7 at 2K). Flyers and banners: Qwen Image 2.0 Pro (12). Editing existing text: Seedream 4.5 Edit (7) or Qwen Image 3.0 Pro Edit (6–7). Multilingual: Seedream 5.0 Pro (10 / 19). Vector wordmark: Recraft V4 Vector (14) or Pro Vector (24).

3. 3.Push the resolution up

   Type breaks down first at low resolution. Move to 2K or 4K where the model supports it — GPT Image 2 goes 3 / 5 / 8 credits for 1K / 2K / 4K, WAN 2.7 Image reaches 4K at 4 credits, and Nano Banana Pro is 18 at 1K/2K and 24 at 4K.

4. 4.Put the exact string in quotes in the prompt

   Write the literal copy you want rendered rather than describing it. If you are editing a photo where the text must not change, state the preservation explicitly — the wording that works names the elements: shape, color, packaging design, brand name, and all printed text.

5. 5.Fix the last 10% with an edit pass

   If a generation gets the layout right but one word wrong, do not regenerate — send it to Seedream 4.5 Edit or Qwen Image 3.0 Pro Edit and change only that region. Seedream 5.0 Pro supports coordinate- and mask-precise local changes for exactly this.

Frequently asked questions

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