When we adjust the transparency of PNG and WebP pictures, it is usually used in the scene of realizing watermark effect, creating layer or making gradient background, especially in graphic design and web page development. Usually we are single manual processing, efficiency not only wastes a lot of time to set the transparency of each picture, more importantly, after the adjustment is completed, the transparency of each picture is difficult to maintain 100 of the same and consistent, the progress of the work efficiency will be very slow. Then we encounter hundreds of webP and PNG pictures that need to be turned into translucent state, and repeated labor consumes a lot of our precious time.

During work or daily picture processing, occasionally the picture looks gray, usually the color is not bright enough, the details are not prominent enough, the overall look of the lack of hierarchy, the main reason is the lack of contrast in the picture. Whether it's life photos taken by mobile phones, or product maps and presentations needed at work, low-contrast JPG and PNG photos and pictures will affect the feeling and professionalism of watching. A few pictures are easy to adjust, but when there are a large number of pictures need to enhance the contrast, a manual operation will have a sense of fatigue of repetitive labor, so is there a way to make hundreds of 10. pictures batch one-time to enhance the contrast method.

When the formula logic reference in Excel table is wrong, or to replace the original calculation formula with a new formula according to the regulations, we need to replace the formula reference in the table in batch. In order to avoid the tedious duplication of labor, here is a skill to teach you, you can replace the calculation formula in Excel form in batch with one key to realize one-to-one accurate replacement. The operation steps are also very simple and can be learned in one minute!

I dare say that since you have been working and studying on a computer, you must have encountered a crash when there were too many folders and could not find files, or you would regret it because of your blind naming behavior when creating folders. Especially for the workers of a company, when the project is iterated, the company is renamed or needs to be filed in a unified way, manually modifying and searching hundreds of folder names is simply a fool moving mountains, and the workload is enormous! In fact, as long as you master a batch replacement folder keywords skills, it is enough to help you smoothly file management work!

Is it too dark for mobile phones or cameras to take photos? Or is the brightness of the pictures saved on the Internet not enough? These are the problems that we often encounter in JPG, PNG and other formats with insufficient brightness. It is acceptable to deal with one by one, but when facing 100 or 1,000 pictures that need to be increased in brightness, one by one, regardless of the visual fatigue caused, it is possible to adjust the brightness to more than 100 pictures, which is already halfway through the day. So what method can help us directly increase the brightness of all the pictures in the folder?

Here is the "image batch markup annotation tool" all versions of the release record, each release in order to solve the user encountered a variety of problems, but also represents our growth and progress, I hope you still support and like our software!

Sharpening is an important step to improve the texture and detail of the picture. Whether it is a photographic work, a product display or a web page map, moderate sharpening can strengthen the contour of the edge and enhance the clarity and visual impact of the image. For pictures in common formats such as JPG and PNG, we usually need to adjust the sharpening parameters with the help of picture editing tools to improve the blur of details caused by shooting or compression. However, when the overall definition of picture materials with huge data needs to be improved, the sharpening operation is carried out one by one. The process is complicated, the efficiency is still very low, and the most important thing is that it is difficult to ensure the consistent sharpening effect between each picture. So is there a way to quickly achieve batch sharpening of images in several folders while maintaining quality?

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!