When we deal with Xls and Xlsx file data, they mostly contain a large number of text or number numbers with similar structures but inconsistent expressions, such as the contact information of customers in enterprises, the model number of products or the abbreviation of address information. Although these data have small differences, they will directly affect the accuracy of data classification and statistical analysis. The precise search and replacement we generally use has no way to deal with this situation, and the modification of a single piece of content is inefficient and extremely prone to omissions. So how can we use fuzzy search to quickly and accurately find cell contents with common characteristics and replace them with the same contents through batch operations?

In the process of presentation design and management, we usually encounter batch updating of specific words or numbers. The text content that needs to be modified may be distributed in dozens of slides, and there are different forms such as abbreviations, full names, mixed use of Chinese and English, etc. In this scenario, what we use most is to find and replace one by one, which not only takes too much time, but also carries out repetitive operations all the time, which is easy to cause fatigue and lead to omission or modification errors. Is there any good way to accurately identify all the text or numbers with similar structure in the slide, and realize batch replacement while keeping the layout format unchanged?

It is a very common requirement to convert Word documents in doc and docx formats into html pages that browsers can open. Although the Word document can be directly saved as html format, but can only be manually converted one by one, inefficient. Here are three ways to convert Word documents into web pages in batches. The operation is simple. It takes only tens of seconds to realize the accurate conversion of hundreds of docx files to html, which is efficient and practical.

When processing data and sorting out tables at work, Excel worksheets may accumulate a large number of texts or numbers with similar names and repeated structures, such as product numbers, customer names, address information, etc., and there are a large number of similar contents that are exactly the same. Such data may reveal important private information. If it is not cleaned up and deleted, it will not only affect the data leakage, but also interfere with the accuracy of subsequent statistical analysis. When facing hundreds of redundant texts that are highly similar but not identical, it is a waste of time to manually find and delete them. Secondly, it is also possible to delete key data in the table, making the information incomplete. Is there a way to quickly identify these texts and numbers with similar structures and automatically delete them in batches?

All migrant workers will face the operation of file management. When the computer is full of hundreds of files, fast file management or file sorting has become a necessary task in our daily work. In the digital age, file names may carry a bunch of redundant information, such as dates, version numbers, and even garbled symbols, making you want to find a file like looking for a needle in a haystack, and the work efficiency is maddeningly low. At this time, the operation of batch deleting the corresponding text in the file name can not only simplify the file name, but also improve the search efficiency and make the file management orderly. The text includes Chinese characters, numbers, English, symbols, etc., taking Chinese characters as an example to explain in detail.

Images are widely used in various projects. Whether in JPG, PNG or GIF formats, they are often embedded into design works or web pages as basic materials. Among them, the brightness and color performance of the picture will directly affect the visual experience. Therefore, adjusting the contrast of the picture is an indispensable part of the later picture processing. Whether you're saving an image for a product presentation or an input infographic, it's often necessary to manually adjust the contrast in an image editing tool to enhance expressiveness or fit the overall style. However, when facing hundreds of pictures that need to be uniformly enhanced or reduced in contrast, if setting parameters one by one wastes a lot of time, the efficiency is still very low, and the final results will be uneven, then is there a method to complete the contrast setting of a large number of pictures in batch on the premise of ensuring consistent visual effects?

Pictures are commonly used in design and web content production. Most picture files are material files, so it is also very important to fine-adjust the transparency of image materials. Whether it is PNG, WEBP or other format picture files, we must adjust the transparency in the picture editor to achieve better visual effects. When there are a large number of picture materials that need to be adjusted in a unified way, it is too wasteful of time for us to set the transparency parameters one by one, and the efficiency is about equal to none, which cannot guarantee the consistency of the transparency effect after setting. So what method can unify the transparency of the picture at the same time, but also can pull up our efficiency?

When we need to delete a word in PPT in batch, we can clean it up at one time by finding and replacing it. However, if there are many text contents in PPT that need to be deleted, or if there are a large number of PPT files that need to be cleaned up with redundant text, manual processing will take time and effort. Let's share a more efficient way to delete multiple words in PPT at one time, and to process hundreds of PPT files at the same time, saving time and effort!