What is Visual Language?

A brand’s visual identity is more than colors and logos — it’s a language.
With Visual Languages, Anyword allows you to define and apply your brand’s visual rules directly within the editor, ensuring every image generated by AI looks and feels like your brand.

What Is a Visual Language?

A Visual Language in Anyword is a reusable, AI-understandable definition of your brand’s visual identity.
It combines style, tone, and design patterns to ensure every generated image reflects your brand consistently — across ads, landing pages, blog graphics, or social posts.

Each visual language defines key visual parameters, such as:

• Aesthetic style (e.g., minimalist, editorial, bold, playful)

• Color palette and dominant tones

• Composition rules (e.g., centered subject, text-safe areas, logo placement)

• Lighting and mood preferences

• Preferred typography and overlay treatment

Why Visual Languages Matter

Consistency drives recognition. A defined Visual Language ensures that every AI-generated image — whether for a campaign, ad, or blog post — speaks in your brand’s visual voice.

Benefits:

• Ensures brand consistency across every visual output.

• Reduces design review cycles and manual editing.

• Keeps all generated visuals aligned with marketing and design guidelines.

• Makes image generation scalable across teams without losing identity.

Where Visual Languages Are Used

Visual Languages appear across Anyword’s visual workflows, including:

• Image Generation – Apply a saved Visual Language to generate new visuals that reflect your brand tone.

• Image Improver – Use your Visual Language to enhance existing images to match your aesthetic.

• Short- and Long-Form Editor – Add image sections using your Visual Language to ensure full-document brand consistency.

• Brand Voice – Manage Visual Languages together with your Tone of Voice and Style Guidelines.

Creating a Visual Language

You can create one or more Visual Languages in Brand Voice → Visual Languages.

To create a new Visual Language:

1. Navigate to Brand Voice → Visual Languages.

2. Click + Create Visual Language.

3. Enter a name (e.g., “Tech Premium,” “Playful B2B,” or “Editorial Blog”).

4. Upload up to four reference images that best represent your desired aesthetic.

5. (Optional) Add color preferences or notes for internal context.

6. Click Save.

Once saved, your Visual Language becomes available across all image generation and improvement flows.

Editing or Deleting a Visual Language

• To edit, open an existing Visual Language, adjust its name, or replace reference images.

• To delete, hover over it in the list and click the trash icon.

• Changes are saved automatically and immediately reflected across the platform.

Using a Visual Language When Generating Images

When generating or improving an image:

1. Navigate to short-form editor.
2. Open the Image Generation panel.

3. Under the Image Style dropdown, choose a saved image style.

4. Enter your image prompt and add any overlay text.

5. Click Generate.

The AI will create visuals aligned with your selected Visual Language — applying consistent composition, palette, and design tone automatically.

Best Practices

• Create separate Visual Languages for distinct content categories (e.g., Corporate Blog, Product Ads, Social Posts).

• Use reference images that accurately reflect your brand tone — lighting, layout, and texture all matter.

• Keep your examples visually consistent (avoid mixing illustration and photography in one language).

• Update your Visual Language if your brand evolves (new palette, photography direction, etc.).

• Pair each Visual Language with the right Tone of Voice for a cohesive brand expression across copy and visuals.