My Deep Dive into AI Image Analysis Software

This guide to AI image analysis software will give you an in-depth understanding of how and when to use it.

Artificial Intelligence is an incredible tool that can decipher and understand intricate context within images.

Amazingly, AI can go one step further than knowing whether an image is a map, a portrait or a menu.

It can use the map to help you navigate a city or inform you what’s safe to eat on a menu if you have dietary requirements.

Today, we’ll take a deep dive beyond the surface of AI image analysis to see what all the hype is about.

I’ll let you know my top pick of the AI bunch and why I find AI Image Analysis so compelling.

What is the Best AI Image Analysis Software in 2025?

AI has analyzed images for decades. Face recognition, which is built into cameras, phones, and Facebook, uses AI image analysis.

Lately, however, artificial intelligence has powerballed its incredibleness into our view with increased potential that commands respect.

Good AI can scan an image and tell you what it is. Fantastic AI can understand the picture and derive meaningful information from it.

For instance, you can ask AI if the location is safe for children or how much the items in the photo would cost in Havana.

To thoroughly test AI, I used diverse images from a menu, a foreign sign, a Venn diagram, a party photo, and a map, challenging it with simple and complex questions.

I was astonished at the accuracy of the AI image analyses and how its answers are sometimes clever, funny, or odd, but mostly, the answers were spot on.

I tested each AI image analysis for image interpretation, text detection, translation ability, intuitive interface and accuracy of answers — extra points were given for handy features.

Ok, let’s see what these AI apps are made of.

ChatGPT

I trialed ChatGPT AI Image Analysis using four different images: a map, a menu, a road sign, plus a photo of a Chinese street.

I uploaded an image of a menu and asked ChatGPT what I could order if I were celiac.

I hit enter. In 3 seconds, CahtGPT had dissected the menu and given me a thorough analysis of what I could eat.

Was ChatGPT correct? I couldn’t fault it for its answer; it identified the GF options, even asking me to check with the kitchen regarding alterations to some of the meals’ ingredients.

I uploaded an image of a road sign depicting a steep road ahead. ChatGPT correctly interpreted that I could travel along the route cautiously, as it was a steep road, advising me to check my brakes.

ChatGPT correctly translated the Chinese shop signs in a photo of a street.

The last image I used was a public transport map of Istanbul, asking how to get from one location to another.

ChatGPT had discerned it was a map of Istanbul, but not that it was an older map of the city. Thus, it gave me directions based on the current transport system.

Should we judge ChatGPT for this? If you are unsatisfied with the answer, ChatGPT allows you to leave feedback and try again.

Although the free version is restricted to limited usage, you can still access the full spectrum of ChatGPT’s capabilities.

I found ChatGPT capable of successfully discerning information in complex images and providing correct information.

ChatGPT gets extra points for its useful features, such as the option to share, copy the text, change text to audio, and give feedback.

• More: Best AI Image Search Engines

Claude 

To test Claude, I uploaded an old map I had found online and asked Claude what the image was.

Claude not only told me that this was a vintage poverty map of London but also told me exactly what year it was created.

It gave a four-paragraph explanation of why the map was designed and what it was used for. The results were delivered so quickly that Claude appeared to have analyzed my image before I hit send.

The following image I uploaded was a park sign written in Spanish. Claude deciphered the language and translated it correctly into English.

Next, I uploaded a road sign warning drivers that the road bends sharply ahead. Claude got top scores for explaining what the sign depicted.

I attempted to trick Calude and uploaded an image of a restaurant menu, asking what drinks I could order.

Claude rose to the challenge, informing me there were no drinks on the menu (true), and then explaining what was available to order.

I gave Claude a more complex task. I asked it what profession I should aim for, using an Ikigai Venn diagram as a reference.

Claude’s AI Image Analysis software correctly analyzed the images, even going so far as to give me driving and personal advice.

I found Claude to be speedy and accurate. It has a fast processing time, and its responses are in-depth and interesting.

All in all, Claude gave an excellent performance. When it comes to AI visual intelligence and accuracy, this one wins the prize.

Gemini Pro

Google DeepMind developed Gemini Pro to help power AI systems across Google’s platforms.

My first impression was that Gemini was a little cumbersome to set up and not particularly intuitive to navigate.

To access Gemini, you must add billing information, even if you don’t intend to upgrade to a paid plan. However, it was smooth sailing once I had Gemini up and running.

When I asked Gemini about the menu’s celiac options, it confused celiac with vegan options, telling me to avoid eggs, bacon, and cheese. Not too unlike your average waitress.

I uploaded a map of Istanbul’s public transport and asked how to travel from Gostanci to Otogar using this specific map.

Gemini apologized that it couldn’t give directions as the map was outdated. At least it was honest.

When asked to decipher a photo of Chinese signs, it could tell the font was Chinese and gave the identical translations as Google Translate.

I asked if I could travel down a road with an acute curve sign. Gemini told me I could travel down the road. However, it mistook the curve sign for a U-turn sign.

I loved that Gemini Pro told me to use art to create a positive impact on the world, using its interpretation of the Ikigai Venn diagram. It has to be the best advice I’ve had in years.

In conclusion, Gemini Pro can tell what an image is and make rough calculations, but the results can be incorrect.

Unfortunately, this is not a software application that can currently be relied on for this task.

• More: 15 Free AI Art Generators

MiniCPM-Llama3-V2.5

MiniCPM is available on Hugging Face, a community of AI developers and machine learners collaborating on models, databases, and applications.

I uploaded an acute curve road sign and asked if I could drive down the road beside the winding road sign. MiniCPM told me that although there was a sharp turn ahead, it could see no reason why I wouldn’t be able to drive ahead.

I asked what a Spanish sign said, and MiniCPM translated it perfectly into English.

I uploaded the menu and asked what I could eat on a Keto diet. Although it appears that MiniCPM can read the menu, it made a mistake concerning a keto diet, including bread and excluding steak.

When asked if it could suggest a vegan option, it went a little haywire and simply repeated a long string of words that included items that are not vegan and not on the menu.

Possibly, I should have hit the regenerate button and started the image analysis from scratch.

Although navigating the website is not easy—you need to have a helping hand or fifth sense for software—I found that MiniCPM gave excellent answers.

MiniCPM included interesting information for the London map and can accurately interpret signs, read menus, and translate Spanish.

I give MiniCPM a top score for everything except ease of use.

Danish15

Danish15 can be found on the same website as MiniCPM, Hugging Face.

It translated the Spanish from a photo perfectly. It could tell a photo of a party was of pineapples, not people, and accurately identified the London poverty map.

When asked to pick vegan menu options, it incorrectly thought cheese was vegan.

Danish15’s AI scanned the Istanbul public transport map and gave a ‘cheats’ response—a response copied and pasted from a Google search (as did most of the other AIs tested).

Danish15 has a high success rate with interpreting images but lacks additional features.

However, I will give it extra points for it was courteous enough to add: enjoy your meal. Which is very polite for a software program, especially considering it will never experience taste.

• More: Exploring AI-Powered Image Upscaling

MS Copilot

MS Copilot was created by Microsoft to support its users. It has automated features for Word, PowerPoint, Outlook, Excel, and Teams, making it a great pick for people who love everything Microsoft.

My first test for MS Copilot was to ask for the gluten-free options on the uploaded menu. Instead of using the menu as a guide, Copilot gave me a generic reply that referred to a standard gluten-free diet.

I figured the question wasn’t specific enough, so I asked what GF options were available on the uploaded menu. Copilot instantly corrected its response, selecting the gluten-free items on the menu.

Although its reply wasn’t as detailed as some of the other AI software programs, it accurately selected the only gluten-free meals. Copilot only selected gluten-free meals and did not suggest adaptations to the other meals.

MS Copilot deciphered the road sign and translated Spanish to English with 100% accuracy. Comically, it added that the Spanish sign warned people of the presence of crocodiles, which could be a possibility.

Like the other AI Image Analysis apps I tested, MS Copilot accessed information on the web, not the Istanbul map I uploaded, to explain how to travel from Bostanci to Otogar.

I liked the handy features, such as text-to-audio, export, and copy, which would potentially help streamline your workflow.

Another interesting feature was that MS Copilot linked related articles to each answer. This could be useful if you intend to research the subject further.

Generally, I found MS Copilot to be smooth to use and mostly reliable, with concise, informative results.

InternVL2

InterVL2 was spot on when it came to picking Vegan options. It knew that vegans did not eat cheese, eggs, and meat.

This dietary requirement can be confusing, even for some restaurant staff, so extra points for InterVL2 for getting this right.

I asked if I could use the 1890s poverty map of London to navigate my way today. InterVL2 suggested I get an updated map, as the London poverty map was unreliable for modern-day navigation.

InterVL2 understood the steep descent road sign and translated Spanish perfectly.

I decided to be a little rogue and asked a more diverse question: “If I loved gardening but excelled at bookkeeping, what would the Ikigai Venn diagram suggest I do?”

InterVL2 suggested I try bookkeeping for a gardening center or possibly grow plants in the office. This seemed like a well-informed and inventive option.

The prompt comes with a rejuvenation feature, which means you can request a new answer.

I couldn’t fault InterVL2. It deciphered the images, delivered excellent answers, and was easy to use.

• More: Testing Out AI Image Animation Tools

When to Use AI Image Analysis Software

We now know that AI is super impressive. It can scan an image and tell you the location of the landscape or if the menu has keto options.

Now that you know how to harness the power of Artificial Intelligence to your advantage, what can you use it for?

Read on, and you will discover that AI image analysis is a valuable tool that can aid in many areas of life.

Apps use AI image analysis for object identification, detection and classification to identify plants, rocks, etc. It is useful for botanists, marine biologists, and wannabe geologists, to name a few.

Security and surveillance have used image analysis for decades, most recently adopting AI-based systems. AI can identify suspicious characters or activities, and in more recent times, it has been used by border control to heighten security at borders.

AI image analysis and identification can unlock doors and phones or grant access to restricted areas.

Law enforcement can harness its intelligence to identify explicit material on the internet. AI’s image data analysis can quickly discern information to find and highlight anomalies.

Medical specialists use AI image analysis to diagnose diseases by analyzing medical images.

In retail and e-commerce, online stores use AI to help customers find their preferred products.

Customers can use an AI image search instead of a text search. This allows a potential customer to search a store database to locate an item with a similar style, color, or shape to the item in their photo.

Trained AI image identification can then offer the customer a range of products that resemble the image.

Researchers, such as archaeologists, use AI image analysis to aid and enhance their research.

When Eygptologists research ancient Eygpt, AI image analysis is a valuable tool for identifying artifacts, placing ancient text, and locating similar objects.

The agricultural and farming sectors can use AI image analysis to scan drone photos to help maintain healthy crops.

AI can scan photos to detect pests, identify diseases, and spot system defaults. This helps farmers identify areas that need maintenance, such as watering, pesticides, or fertilizers.

The future of self-driven cars relies on AI’s ability to calculate its surroundings quickly. As AI films its surroundings, it needs to accurately examine the information in order to drive safely.

For graphic design, software programs such as Photoshop use AI image analysis to locate objects and remove backgrounds.

AI has proven that its image analysis capabilities are great for automating procedures, and its pattern recognition is helpful for quality control.

This makes it invaluable for automating workflows, whatever your industry. You can train AI to analyze information in images that are specific to the task.

Last but not least, the average Joe can ask quirky questions to dispel the daily boredom and discover more about what makes the universe tick.

Conclusion

Although I found that AI is not accurate one hundred percent of the time, it has impressive capabilities that go beyond discerning what the image is.

I enjoyed using the different online platforms, and I like that they are interactive and easy to access.

All the AI programs could quickly identify image components and intelligently answer my questions.

AI proves its image analysis capabilities and gives valuable insights, but it’s not always completely reliable.

Although AI might not be what you should rely on for advice in an emergency, it’s still a remarkable information resource.

Remember, AI is still evolving, and its current capabilities are just a fraction of what they’ll be in a few years’ time.

So now that it’s accessible, it’s time to go wild and put AI image analysis to good use.