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How businesses can use neural tools to improve content

Increased the amount of real content in Stolplit social networks by 4 times
Digital agency i-Media , i-media.ru

“Stolplit” is a large hypermarket of furniture and ready How businesses can use -made interior solutions. i-Media has been developing the client’s social networks since 2022. 

The main task is to change the vector of social networks development to something more lively, closer and understandable to the audience. Previously, the emphasis was on branding. Banners mainly used visualizations of furniture from the site or photo stocks. Less often, real photos of furniture, for example, from user reviews, since the quality of the images left much to be desired. 

We understood that it is real content, not ideally produced content, that resonates with the audience. Our hypothesis was confirmed after a series of publications in the client’s channels, after which we took a full-scale course on realism in content. 

Why did they turn to AI? How businesses can use

The main headache was finding suitable real photos of furniture How businesses can use. Three pressing problems had to be solved.

  • Poor image quality: low resolution up to 1024×1024, blur, pixelation and other compression artifacts, and low detail.
  • Visual noise in photos and unnecessary objects. Often there were other objects in the photos, and against their background the client’s product did not look as presentable.
  • Inconvenient aspect ratio of the image. When embedded on a 1080×1080 banner, the products were cut off, which negatively affected the presentation of the potential buyer.

The first experience with AI is related toHow businesses can use

 

the last problem. We received an image, but the aspect ratio was not suitable. The client’s product, when embedded in

the frame, was cut off even more than in the original, and we could not use the image in this form.

 

 

Source

This is how we first tried the Uncrop tool from clipdrop.co. ghana business email list It helps edit aspect ratios, expands image borders, and

builds in missing backgrounds. The tool was free, so it didn’t cost us anything to experiment with AI. At that time, it

took us a little longer to create an image that suited us, since Uncrop was still learning and it was our first experience.

Now we use the tool more often, and the results are cleaner.

 

We continued experimenting with

 

neural networks and found the Object remover tool . how to make your home more sustainable It removes objects from photos efficiently and instantly. Now

visual noise is not a reason to refuse publication. 

 

With the help of this tool, you can remove price tags and table tents from a store photo and create a beautiful selling

picture for the client.

The problem with poor image quality was solved by the neural tool Upscale . Thanks to it, we can share almost any real photo of furniture.

 

Now not a single day of working with visuals goes by without Upscale

 

Using these neuroinstruments, we obtained the following results:

 

  1. The search for real photos suitable for publication has decreased from 30-60 minutes to 10-15 minutes;
  2. Creating any banner in Figma with a real photo is now independent of the quality of the source and takes no more than 5 minutes;
  3. The amount of real content per month has increased 4 times.

After a year of working with the listed tools, we can phone database confidently recommend them to those who edit

and create visual content. They can be used to improve images. For example, for images that have been compressed

when uploaded to a website or received in a messenger. As a result, you get a high-quality image without visual noise

and compression artifacts quickly and for free. 

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