Visual AISkills
E-commercePromptsSkillsExplorer
Corriger et éditer
Réparer failures
Essential

Réparer text layout

Corriger unreadable text by regenerating ou 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.

Entrée
image avec bad text
Sortie
clean image
Best fit

Réparer failures

IdeogramGPT Image 2Recraft

Common AI failure avec strong practical search intent

Job to be done

Créer clean image depuis image avec 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 entrée: image avec bad text.
  2. Pick a first tool path: Ideogram, GPT Image 2, Recraft.
  3. Générer ou edit toward the promised deliverable: clean image.
  4. Review the image pour drift, broken details, unreadable text, et weak composition.
  5. Enregistrer the prompt, references, et final settings that produced the best reusable result.

Copy-ready skill card

Skill: Réparer text layout

Scène: Corriger et éditer / Réparer failures

Entrée: image avec bad text

Sortie: clean image

Tools: Ideogram, GPT Image 2, Recraft

Example entrée: Product image: generated bottle visuel avec warped label edge

Issue to fix: distorted texte d'étiquette et uneven cap forme

Must preserve: composition, lighting, product couleur, matière

Edit scope: repair only the broken areas

Do not change: allégations, logo, flavor, size, ou packaging structure

Contrôle qualité: the result must match the promised sortie et preserve the user intent.

Branch logic

  • If the user has not provided image avec bad text, ask pour it before generating the final clean image.
  • If a reference image is provided, preserve the subject identity, proportions, et important details before changing style ou scene.
  • If the first result fails visuel 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, ou object edges, inspect those details at full size before accepting the sortie.
  • If the image will be publiés commercially ou 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 ou legally approved.
  • Do not use it when the user needs professional legal, medical, safety, ou regulated-compliance judgment.
  • Do not publish the result until droits, consent, authenticity, et 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 avec bad text.
  • Text, hands, logos, edges, et détails produit are not visibly broken.
  • The result is usable in the target channel sans another full regeneration.
  • Proofread all visibles text, labels, logos, et small typography before using the final image.

Prompt starter

Créer clean image pour this task: Corriger unreadable text by regenerating ou overlaying layout

Entrée available: image avec bad text

Example entrée: Product image: generated bottle visuel avec warped label edge

Issue to fix: distorted texte d'étiquette et uneven cap forme

Must preserve: composition, lighting, product couleur, matière

Edit scope: repair only the broken areas

Do not change: allégations, logo, flavor, size, ou packaging structure

Preferred tool path: Ideogram, GPT Image 2, Recraft

Keep the result faithful to the entrée et optimize pour the réparer failures scene.

Evidence and maintenance

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

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