Visual AISkills
E-CommercePromptsSkillsEntdecken
Korrigieren und bearbeiten
Reparieren failures
Essential

Reparieren text layout

Beheben unreadable text by regenerating oder overlaying layout

Use this skill when you need a repeatable image workflow, not a one-off prompt guess. It defines the input, output, tool path, and quality gate before generation starts.

Eingabe
image mit bad text
Ausgabe
clean image
Best fit

Reparieren failures

IdeogramGPT Image 2Recraft

Common AI failure mit strong practical search intent

Job to be done

Erstellen clean image aus image mit bad text, using a task-first Workflow instead of a loose Prompt dump.

Workflow type

readable-text, editing

Quality promise

The output must preserve user intent, survive visual inspection, and be ready for the target channel.

Workflow outline

  1. Prepare the source Eingabe: image mit bad text.
  2. Pick a first tool path: Ideogram, GPT Image 2, Recraft.
  3. Generieren oder edit toward the promised deliverable: clean image.
  4. Review the image für drift, broken details, unreadable text, und weak composition.
  5. Speichern the Prompt, references, und final settings that produced the best reusable result.

Copy-ready skill card

Skill: Reparieren text layout

Szene: Korrigieren und bearbeiten / Reparieren failures

Eingabe: image mit bad text

Ausgabe: clean image

Tools: Ideogram, GPT Image 2, Recraft

Example Eingabe: Product image: generated bottle Visual mit warped label edge

Issue to fix: distorted Etikettentext und uneven cap Form

Must preserve: composition, lighting, product Farbe, Material

Edit scope: repair only the broken areas

Do not change: Aussagen, logo, flavor, size, oder packaging structure

Qualitätsprüfung: the result must match the promised Ausgabe und preserve the user intent.

Branch logic

  • If the user has not provided image mit bad text, ask für it before generating the final clean image.
  • If a reference image is provided, preserve the subject identity, proportions, und important details before changing style oder scene.
  • If the first result fails Visual inspection, fix the smallest broken area first instead of regenerating the whole image.
  • If the first tool path fails, switch to the next listed option: GPT Image 2, Recraft.
  • If the task depends on masks, text, oder object edges, inspect those details at full size before accepting the Ausgabe.
  • If the image will be veröffentlicht commercially oder publicly, run the risk guardrails before export.

When not to use

  • Do not use this as proof that the generated clean image is factually real oder legally approved.
  • Do not use it when the user needs professional legal, medical, safety, oder regulated-compliance judgment.
  • Do not publish the result until Rechte, consent, authenticity, und platform constraints have been checked.

Copy distribution

Take this skill into your AI tool as a prompt, a workflow card, or a portable SKILL.md draft.

Quality gate

  • The final asset clearly matches the requested clean image.
  • The main subject still reflects the original image mit bad text.
  • Text, hands, logos, edges, und Produktdetails are not visibly broken.
  • The result is usable in the target channel ohne another full regeneration.
  • Proofread all sichtbar text, labels, logos, und small typography before using the final image.

Prompt starter

Erstellen clean image für this task: Beheben unreadable text by regenerating oder overlaying layout

Eingabe available: image mit bad text

Example Eingabe: Product image: generated bottle Visual mit warped label edge

Issue to fix: distorted Etikettentext und uneven cap Form

Must preserve: composition, lighting, product Farbe, Material

Edit scope: repair only the broken areas

Do not change: Aussagen, logo, flavor, size, oder packaging structure

Preferred tool path: Ideogram, GPT Image 2, Recraft

Keep the result faithful to the Eingabe und optimize für the reparieren failures scene.

Evidence and maintenance

Source IDs
IMG-002, IMG-004, IMG-057
Priority
Essential
Library track
Starter

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