Text-to-image AI represents an exciting new capability to automatically generate visual media from written text descriptions. Early adopting businesses are already discovering a wide range of applications that can benefit their operations and marketing. Here are some ways to leverage this technology:
Enrich Marketing Content
Text-to-image models like DALL-E 2 can take product descriptions, ad copy or any marketing messaging and generate corresponding visuals. This provides marketing teams with an endless source of fresh, relevant images to embellish campaigns across channels like social media, websites, and brochures.
The AI-created images can capture the essence of branding, emotions, and messaging in an instant. For example, prompts can generate lifestyle photos of people interacting joyfully with products. The technology allows experimenting rapidly with visual concepts to determine what resonates best with audiences.
Create Infographics
Infographics are highly engaging but manually creating original designs is labor intensive. With text-to-image generators, simple textual prompts describing data points, processes, timelines or conceptual relationships can produce infographic templates. The AI will synthesize graphical and information design principles to visualize the prompts.
This rapidly creates shareable infographic content for blogs, presentations, reports, and social media. Infographics can be generated on any topic, customized in different styles, and refined iteratively in a fraction of the time of human design.
The efficiency and versatility of text-to-image AI open up exciting possibilities for marketing, content creation, and beyond. Virtually any visual need can be fulfilled through textual description. Savvy organizations should explore leveraging these emerging generative capabilities to enhance productivity and spark innovation.
With text-to-image generators, simple prompts can produce infographic templates conveying data, processes, timelines and other illustrations.
Automate Graphic Design
For businesses with frequent design needs like social media banners, posters, brochures or digital artwork, text-to-image AI eliminates the hassle of manually creating or commissioning each graphic.
Designers can simply provide prompts describing the required visuals to instantly generate numerous options.
This provides a starting point to then refine and customize the graphics as needed. By automating the repetitive and time-intensive parts of graphic design, text-to-image AI allows designers to focus their efforts on more strategic creative work.
Revitalise Stock Photography
Finding the perfect stock image can be an arduous process of sifting through millions of options. Text-to-image models now enable businesses to generate custom, unique photographs on demand based on any descriptive text prompt.
For example, ecommerce sites can render tailored product images in various desired scenarios, settings and styles.
Travel sites can generate location photos with customizable elements like weather, landmarks or activities. The possibilities are endless for obtaining photo-realistic images that perfectly match needs.
Enhance Accessibility
Generating images from text descriptions can make visual content more accessible for those using screen readers or with visual impairments. Developers can build functions to auto-describe graphs, diagrams, flowcharts and other images on websites and apps with alt text synthesized from prompts.
Education and e-learning platforms benefit greatly from enhanced accessibility through text-to-image image description. Beyond accessibility, synthesized image descriptions can aid comprehension for all users.
The rapid pace of progress in text-to-image AI means capabilities will continue expanding while costs fall. Savvy businesses should start exploring where this technology can enhance content production, marketing and operations. The visual possibilities unlocked by text-to-image generation are limitless.
