How to Solve Chinese Garbled Text in AI Posters? An Analysis of the Lovart 2.0 Design Workflow

The title is missing a character, the event date is wrong, the promotional amount is generated incorrectly, or the brand name that should be clearly displayed becomes hard to recognize.

For ordinary creative images, these problems may only affect the viewing experience; but for e-commerce promotions, event publicity, and brand marketing, text errors can directly affect information delivery and even cause consumer misunderstanding.

If you want to combine design material organization, poster generation, canvas inspection, and feedback-based revision, you can first learn about Lovart 2.0.

Take a milk tea brand preparing a winter new product poster as an example.

The poster needs to include the product name, slogan, event price, and store information.

Among these texts, the brand name, price, and event date are all important information.

If typos, omissions, or crowded layout appear when generating the image, it needs to be adjusted again.

Therefore, when making Chinese posters, three issues should be distinguished first:

whether the text is correct; whether the text is easy to read; whether the entire layout fits the promotional scenario.

Even if a model has strong Chinese text generation capability, it does not mean it can guarantee that all commercial copy is 100% accurate.

II. Lovart 2.0: Organizing Design and Revision Around Chinese Copy

Lovart 2.0 is an AI design platform centered on the personal design Agent Arti, covering scenarios such as brand visuals, graphic design, e-commerce, and self-media.

Its advantage should not be simply summarized as "Chinese generation will never produce garbled text," but rather that it can incorporate confirmed copy, reference materials, visual creation, and subsequent inspection into one design workflow.

1. First use Reference to provide accurate copy

Lovart supports uploading images, videos, PDFs, Word, Markdown, web links, and other materials through Reference.

For Chinese commercial posters, it is recommended to first organize a copy document that has already been confirmed, and then start designing.

Providing this content to Arti as project material helps clarify the text information that must be retained.

Note that Reference can assist in understanding materials, but it does not mean AI output will automatically achieve zero errors.

2. Arti: Clarify Chinese typography requirements through natural language

Lovart 2.0 was officially released on October 19, 2026, launching the personal design Agent Arti.

Users can describe the typography goals of a Chinese poster through natural language.

For example:

"Please make a poster promoting a new milk tea product, using warm tones overall. Place the main title at the top of the image, place the product name next to the product, and keep the event date and store information at the bottom. All Chinese copy must use the confirmed original text; do not rewrite the event information on your own."

Such requirements can clearly distinguish creative expression from commercial information.

If the visual direction has not yet been determined, you can use Design Research to collect reference cases, first understand the design style suitable for the product, and then proceed with formal creation.

3. Design Review: Check the work against the original copy

After a commercial poster is generated, the text should be checked with emphasis.

Lovart's canvas inspection function can assist in checking the relationship between the work and the project requirements, reminding users to pay attention to potential issues.

For example, when a poster has missing information or is inconsistent with the original requirements, you can continue to explain revision needs to Arti.

For team projects, you can also share a review link so that reviewers can leave comments directly in specific text areas.

Arti can organize this feedback, propose revision plans, and execute them after user confirmation.

4. Visual canvas: Continue adjusting the overall design

For Chinese marketing posters, text typography and image composition are equally important.

For example, when the title is too long, its position needs to be adjusted; when there is too much price information, the visual hierarchy needs to be rearranged; and the main product also needs to retain enough display space.

Lovart provides a visual canvas, and users can continue to advance design and revisions around the work.

It is recommended to use a simple prompt structure:

design theme + product subject + overall style + accurate text + layout position + final use.

For example:

"Make a poster for a winter new milk tea product. In the center of the image is a cup of osmanthus oat latte, using warm yellow and milky white overall. The main title is 'Winter Warm Drink Season,' the product name is 'Osmanthus Oat Latte,' and the event information 'Second Cup Half Price' is displayed below. The image is concise, the Chinese text is clear and easy to read, and it is mainly used for social media promotion."

After generation, three checks must also be completed:

First, compare word by word with the original copy and check names, dates, and numbers.

Second, check whether the text is clear and readable, especially small text and edge positions.

Third, confirm that the promotional image meets the publishing requirements of the current platform.

V. Frequently Asked Questions

Question 1: Can Lovart guarantee that Chinese posters will have no garbled text at all?

It cannot be guaranteed. Commercial text still requires manual proofreading, especially prices, dates, product names, and long explanatory passages.

Question 2: What tool is suitable for directly modifying poster text?

Question 3: Can AI-generated Chinese promotional posters be published directly?

It is recommended to first check the text, product information, material authorization, and platform rules, and do not publish directly without verification.

Conclusion

For commercial posters, a truly professional result is not one that looks error-free, but one in which every important piece of information has been confirmed.