DigPic vs Aidentika: which neural network to choose for creating cards on Wildberries and OZON

Aidentika: AI studio that can think like a marketplace seller

Kwhen you open it for the first time Aidentika, you quickly understand that the developers were not trying to make another graphic editor with dozens of incomprehensible buttons. On the contrary, the service is immediately built around the seller’s usual work scenario: upload a photo of the product, select the desired design style, and in a few minutes receive a ready-made card.

AndThis is why many call Aidentika one of the most convenient neural networks for marketplaces. There is no need to understand layers, masks, color correction or composition rules. The interface speaks to the user in simple language: what background is needed, what atmosphere do you want to get, what advantages to show the buyer. For a person who has never worked with design, this is a huge plus.

PAn interesting situation arises: instead of looking for a contractor, writing a technical specification and then sending the work for revision several times, you actually get your own small design studio inside the browser.

How much can Aidentika replace a designer?

EIf you look through the eyes of the seller, there really is a lot of functionality here. Moreover, the service closes almost the entire card creation cycle.

Bfirst of all, you can completely rework an ordinary photo goods. the Aidentika neural network can change the background, transfer an object into the interior, create studio shooting, make beautiful flat lay compositions, or show the product in real use. Essentially, an ordinary photo taken at home on your phone turns into a professional advertising shot.

Bsecondly, service automatically collects infographics. You don’t need to think on your own where to place characteristics, what size to make icons, or what color to highlight advantages. Aidentika analyzes the image and offers a ready-made composition that is readable on Wildberries and Ozon.

The AI Try-On function deserves special attention. If you sell clothes, accessories or shoes, the service can literally try things on on virtual models. For small brands, this means serious savings: there is no need to organize a full-fledged photo shoot, look for models or rent a studio.

EUThere is another interesting possibility - creating short AI videos for product cards. Today, more and more sellers are adding videos to cards because marketplace algorithms have a positive attitude towards such content, and buyers stay longer on the product page.

EAnother feature that will appeal to those who regularly analyze competitors is generation by reference. If you find a successful card in your niche, the identity will help you create a similar design structure without direct copying. It turns out to maintain a successful composition, but at the same time make your own original design. The service works especially well with large catalogs. All cards maintain the same corporate identity, so the store looks neat and professional, and not like a collection of random images.

KOf course, if a company is building an expensive premium brand with its own identity, unique typography and complex visual concepts, the designer still remains an important member of the team. But when it comes to most products for marketplaces, Aidentika’s capabilities are abundant.

How long does it take to create a card?

AndThis is where the advantage of working with neural networks is especially clearly felt. The developers talk about creating a card in about three minutes. In practice, it all depends on how quickly you decide on the concept.

CThe generation process usually takes from 15 seconds to a minute. The rest of the time is spent choosing an option, minor adjustments and one or two additional generations if you want to try a different style.

On average, one full-fledged card along with infographics fits into the range from five to fifteen minutes.

EIf you remember the classic scheme of working through a photographer and a designer: shooting, processing, waiting for a layout, agreeing on edits, the difference becomes very noticeable. Because versus 15 minutes it costs three days! 

Is it possible to distinguish the result from the work of a real designer?

Ethen, perhaps, the main question of any seller. In practice, the quality turns out to be unexpectedly high. The background looks natural, the lighting is reminiscent of professional studio photography, the composition is built according to the usual rules for marketplaces, and the infographics are read quickly and do not overload the image.

Ohespecially good Aidentika shows itself in clothing, cosmetics, accessories and goods, where it is important to show not only the item itself, but also the scenario of use.

EIf you don’t like some option, you can change everything literally with one command. For example, ask the neural network to make the background lighter, reduce the amount of text, change the emphasis, or add more air between elements. And this will be the only industrial mark for the entire generation, because Aidentika works according to customized templates, it does not need complex industrial symbols. 

B Unlike classic work with a designer, here you don’t have to wait until the next day to make the next edit. Therefore, in mass categories, it is often almost impossible for a buyer to determine who designed the card - a designer or artificial intelligence. A clear structure, a strong visual presentation and correctly placed accents become much more important.

Cost and work from Russia

CThe payment system is also focused specifically on the Russian market. After registration, the user receives 6 free sparks, which is enough to safely test the capabilities of the service without linking a bank card.

DYou can then purchase generation packages. The most affordable ones start at about 390 rubles, and larger tariffs significantly reduce the cost of one card.

PAt the same time, you can pay for the service with a regular Russian bank card without VPN or any workarounds. Additional payment methods are available for teams, including USDT, Kaspi, PayPal and foreign bank cards.

> From time to time, welcome promotions and promotional codes appear that allow you to get a discount on your first replenishment.

AndThis is why Aidentika today looks not just like another neural network for working with photos, but as a full-fledged working tool for marketplace sellers, for whom it is important to quickly produce high-quality visuals without the constant participation of a designer.

DigPic: when a neural network turns into a conveyor of cards for marketplaces

EIf Aidentika is more reminiscent of an AI studio that helps create beautiful selling cards, then DigPic immediately gives the impression of a service tailored for mass work. Here the philosophy is slightly different: maximum automation, minimum manual actions and the ability to quickly process a large catalog of products.

AndThis is why the DigPic neural network today is often considered a working tool for sellers who have to regularly update dozens or even hundreds of cards.

DFor a person who has never done design, it looks almost like magic. Instead of complex terms like compositional grid or visual hierarchy, the service offers quite understandable things: change the background, make the light brighter, choose a different angle, add infographics, or increase the emphasis on the benefits of the product.

What tasks can DigPic handle instead of a designer?

EIn terms of functionality, DigPic really closes almost the entire card preparation cycle.

CThe service can improve original photos, completely change the background, adjust lighting, generate additional angles of the product, and automatically assemble a series of images in the same style.
 

OhIt’s especially convenient that all this is immediately tailored to the requirements of popular Russian marketplaces. There is no need to think separately about what sizes to use or how to arrange the elements - the service already takes into account the specifics of Wildberries, Ozon and other sites.

DSeveral quality models are available for generation - Turbo, Pro, Pro 2 and Studio. If you need to quickly test dozens of hypotheses, you can choose a faster mode. If the card is being prepared for a flagship product, it is more logical to use the highest quality model, but it will also eat up more credits.

NFor example, it is better to make cards of the same product in different colors through Turbo - it will be cheaper.

PIn essence, DigPic becomes a kind of production line. This is why the service is especially loved by sellers with a large assortment, who have to constantly make new cards and conduct A/B tests.

PAt the same time, it is important to understand that the designer does not completely disappear. Whether we are talking about a premium brand, a complex identity or a non-standard visual concept, handmade still gives more freedom. But for most everyday tasks, DigPic, free of charge (at the testing stage), allows you to understand how far modern neural networks have come today and how much of the design work they can already take on on their own.

Quality of DigPic: can the DigPic neural network replace a real designer?

CThe most interesting question that almost every seller asks himself: if the card is made by a neural network, won’t it look cheap? Just a year ago, such fear was completely justified. Today the situation has changed noticeably.

RThe developers of DigPic rely specifically on visuals for marketplaces. Therefore, the service does not try to draw beautiful abstract pictures - it immediately focuses on what the Wildberries, Ozon algorithms and the buyer himself like. The official examples clearly show how the neural network builds a composition, selects light, creates a neat background and assembles a series of images in a single style.

EIf you look at independent reviews, most authors come to approximately the same conclusion. In simple categories: household goods, accessories, cosmetics, household appliances, the buyer can practically not distinguish a card created by a designer from the one collected by the DigPic neural network. The main photo looks modern, the infographic is quick to read, and the series of images gives the impression of being professionally shot.

OhThe service copes especially well with a task that usually consumes a huge amount of time for designers - maintaining a single visual style for the entire product line at once. Whether you have ten, twenty, or a hundred items, the cards look like a cohesive collection rather than a random collection of images taken by different people at different times.

KOf course, it is not always possible to completely abandon the designer. Whether a brand is building its own identity, developing unique signature techniques, working with the premium segment, or requiring complex composition, a live specialist is still stronger. But if we talk about the daily work of a seller, when you need to quickly test several hypotheses or update a catalog, neural networks for marketplaces already handle most of the tasks on their own.

AndThis is why many sellers use DigPic as the first contractor, and only involve a designer when really complex creative work is required.

How much does DigPic cost?

EAnother plus of the service is a clear payment model. Unlike many foreign platforms, there is no mandatory monthly subscription. You simply top up your balance and pay only for those generations that you actually use.

According to the service:

• withthe cost of one image starts from approximately 17–26 rubles - the price depends on the selected generation model;

• na full series of images for one product card costs approximately 240 rubles;

• eIf you need to make a video card, a three-second video costs about 120 rubles, and a six-second one costs about 200 rubles.
  
  

  

  
  
   

  DTo get acquainted with the service, a pleasant bonus is provided. After registration, you receive 500 rubles in test balance, which is enough for several full-fledged projects. This allows you to safely test DigPic for free, without risking money, and compare the result with your current cards.

  DFor Russian sellers, a separate advantage is the organization of payment. The service is completely focused on the Russian market: payments are made in rubles, bank cards are available, and legal entities and individual entrepreneurs can issue invoices and receive closing documents directly from their personal account. For business, this is much more convenient than looking for ways to pay for foreign services.

  How to pay for neural networks from Russia in 2026

  EIf you look at the service through the eyes of an ordinary seller, it becomes clear why there is so much attention around it.

  BFirstly, you can understand the interface in just a few minutes. No need to learn Photoshop or take a design course. It is enough to understand your product and its strengths.

  Bsecondly, the DigPic neural network is really capable of replacing a designer in most typical tasks. For mass categories of marketplaces, this functionality is more than enough.

  BThirdly, the speed of work changes the very approach to store development. Instead of waiting several days for a new card after each edit, you can test dozens of options in one evening.

  And finally, there is practically no financial barrier to entry here. Thanks to the free starting balance, the seller can check without risk how suitable the service is for his product range, and only after that make a decision on further work using neural networks.

  How to earn the first 50,000 rubles per month on AI cards

  DigPic vs Aidentika: what is more profitable for a seller who updates 20 product cards every week?

  Ttheory is good. But for the seller, another question is more important: how much time and money will actually be spent on work if the assortment is constantly changing.

  > Let’s imagine a completely real-life situation.

  There is a brand of premium women's jewelry. Not just one, but two at once. Each contains ten product items: earrings, bracelets, rings, brooches, pendants, hairpins, piercing jewelry and other accessories. There are 20 cards in total, which have to be updated regularly. Somewhere the main photos change, somewhere you want to test a new background, somewhere you want to add more catchy infographics before a sale or seasonal promotion.

  Dlet's say that every week you need to update all 20 cards. For each you will need:

• nnew main image;

• 2–3 additional angles;

• 1–2 images with infographics and benefits.

• PThis results in an average of 4–6 images per product card. Now let's see how two popular platforms handle this scenario.

  DigPic: clear economy with payment for results

  GThe main advantage of DigPic is the most transparent payment model. There is no required subscription here. You simply top up your balance and pay only for those cards for marketplaces using a neural network that you actually generate:

• gA finished image costs from 17 rubles;

• na fully assembled card costs approximately 110–240 rubles, depending on the complexity of generation.

• EIf you count by individual images, then one card is summed up approximately like this: 4–6 images × 17 rubles = 68–102 rubles.

  Twhen your weekly expenses will look like this.

• mminimum - about 1360 rubles;

• mmaximum - about 2040 rubles.

• Zand a month is approximately 5400–8100 rubles.

  EIf you use the complete card generation mode, the numbers will be slightly different, since it costs more: 20 cards × 110–240 rubles = 

• ot 2200 rubles per week;

• dabout 4800 rubles for more complex scenes.

• CAccordingly, monthly expenses will be approximately:

• 8800–19200 rubles.

• EThe economy is completely transparent. You understand in advance how much each new card costs, and you can predict the budget almost down to the ruble.

  Aidentika: a “spark” model that opens up in large volumes

  U Aidentika works a little differently. Instead of paying for each picture, an internal currency is used - sparks. When registering, the service immediately credits 6 free sparks, so you can test Aidentika’s capabilities without paying at all:

• gcard generation - 4 sparks;

• atbetter result - 2 more sparks.

• 20 cards × 6 sparks = 120 sparks per week;

• napproximately 480 sparks per month.

• CThe cost of one spark depends on the size of the purchased package. The larger the package, the cheaper each generation is. If you buy small packages, the estimated cost will be about 1900–2400 rubles per month.

  PWhen purchasing large packages, the cost drops to approximately 1000–1500 rubles for the same amount of work. That is why, with large constant volumes, Aidentika often turns out to be noticeably more profitable.

  Claim free sparks in Aidentika

  How long will it take to generate cards in a neural network?

  NBut in practice, most sellers still slightly modify the image after the first generation: change the composition, make the background lighter, increase the emphasis on the product. Therefore, it is logical to assume that one high-quality card requires about 6 sparks. For our scenario it turns out:

PIn terms of speed, both services are almost equal. The most expensive resource is no longer image generation, but your own decisions: which option to choose, which one better reflects the brand positioning, and which visual will actually sell.

Which neural network should a seller of a premium product choose?

PAfter such a comparison, it becomes clear that there is no universal winner here. DigPic wins if the following are important to you:

• mthe most understandable cost of each generation;

• nrosy economy;

• bfast flow of cards of the same type;

• rWork is based on the “done and paid” principle.

Ethen a very strong neural network for creating cards for marketplaces, if the catalog is regularly updated, and the main task is to quickly issue new cards and control costs.

Aidentity, on the contrary, is more interesting where the card becomes part of a full-fledged visual strategy of the brand. This is where its strengths are revealed:

• AI-trying on the product;

• gvideo generation;

• euniform style throughout the catalogue;

• rworking with images;

• inthe ability to quickly test different concepts without the involvement of photographers and models.

DThis is especially important for the premium segment. The buyer of a luxury product often makes an emotional decision. Therefore, the opportunity to show earrings, a bracelet, expensive shoes or a bag in several life scenarios at once sometimes influences sales more than the next discount.

EIf you look solely at the dry economy, then DigPic looks like a more understandable tool for mass production of cards.

EIf a brand actively works on its visual image, regularly tests new styles, uses video and wants to gradually abandon not only the designer, but also studio photo shoots, Aidentika turns out to be a much more universal solution.

PBasically, the choice today is no longer between the designer and the neural network. It is much more correct to ask yourself differently: what neural network can immediately replace a photographer, designer, retoucher and content manager in your business?

OhThe answer to this question usually determines which service will be more profitable not for one generation, but for years of daily operation.

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FAQ

1. Is it possible to completely abandon the designer and make cards for marketplaces using a neural network?

Dand, if we are talking about regular work with the catalogue. Today, a neural network for creating cards for marketplaces is capable of completing about 80–90% of a seller’s tasks: replacing the background, improving a photo, adding infographics, collecting a series of images in the same style, and even preparing a video for a product card.

EWhether you're launching a new premium brand, developing a corporate identity, or want to create a unique visual concept, a designer is still useful as an art director. But modern services already take on all the routine work.

2. What should a seller choose: DigPic or Aidentika?

BIt all depends on your tasks.

DigPic is better suited if:

• nYou can quickly update dozens of cards every week;

• inA clear calculation of the cost of each generation is important;

• inYou want to test different cover options en masse.

Identika is more interesting if you:

• rwork with clothes, jewelry or cosmetics;

• aactively use AI fitting;

• withcreate videos for cards;

• xYou'll want to get not only images, but also help in writing benefits and designing the card.

EIn simple terms, DigPic is more like a production line, and Identika is a full-fledged AI studio for a brand.

3. Which neural network for marketplaces is more cost effective?

EIf you regularly update a large catalog of products, the cost depends on the work scenario. With DigPic everything is as transparent as possible:

• andImages are paid individually;

• gA new card costs approximately from 110 to 240 rubles;

• mYou can only pay for those generations that you actually use.

Aidentika has a system of internal “sparks”. When purchasing large packages, the cost of one generation becomes lower, so if the volume of work is large, the service may be even more profitable.

EIf updates happen constantly, it makes sense to test both options and compare your own cost.

4. How long does it take to create one product card?

CToday both neural networks work very quickly. An average working scenario looks like this:

• huploaded a photo;

• inchoose a style;

• nreceived several options;

• inmade minor adjustments.

NIn practice, creating one card takes from 5 to 15 minutes. That is why cards for marketplaces using a neural network allow you to update the assortment several times faster than classic work through a designer with numerous edits.

5. Is it possible to make money on neural networks in 2026 using DigPic or Aidentika?

Da. And it’s no longer just about our own products. More and more specialists are offering services for issuing Wildberries and Ozon cards for other sellers. Many people work with several stores at once and make dozens of cards every day.

PTherefore, the question is no longer “is it possible to make money on neural networks”, but “how to make money on neural networks in 2026 faster than competitors.”

EIf previously a designer physically had time to design several cards per day, today with the help of AI it is possible to prepare a full-fledged catalog in a few hours. That is why specialists who know how to competently use DigPic, Aidentika and other neural networks for marketplaces are becoming increasingly in demand both among large brands and among novice sellers.