Ai photo edit app that uses ai to remove objects, people. Ai will run ...

...locally on device

Confidence
Engagement
Net use signal
Net buy signal

Idea type: Freemium

People love using similar products but resist paying. You’ll need to either find who will pay or create additional value that’s worth paying for.

Should You Build It?

Build but think about differentiation and monetization.


Your are here

You're entering a crowded space with your AI photo editing app, as indicated by the 20 similar products we found. The good news is that there's clearly demand, as evidenced by the medium engagement on these products. Since similar products fall into the 'Freemium' category, people generally like using these tools but are hesitant to pay. Your challenge will be to identify who values the free features the most, and then build premium features tailored to them that they will gladly pay for. Remember that even though AI removal is a key feature, some users find that lack of customization is a key drawback.

Recommendations

  1. Focus on a niche within photo editing. Since object and people removal are common, consider specializing in a specific type of image (e.g., architectural photos, product photography, or portrait touch-ups). This will allow you to tailor your AI and marketing efforts.
  2. Prioritize the quality and speed of your AI processing, since negative feedback often mentions slow processing times. Since you plan to run the AI locally, optimize the app for performance on a range of devices to avoid frustrating users.
  3. Offer granular control over the AI editing process. Users often complain about the lack of customization. Let users adjust the intensity of the AI effects, manually refine the results, and undo changes easily.
  4. Consider a tiered freemium model. Offer basic object removal and editing features for free, and reserve more advanced AI functions, batch processing, or higher resolution exports for paying customers.
  5. Explore team or professional pricing. If your app is useful for businesses or creative professionals, consider offering team licenses or subscription plans with collaboration features and priority support.
  6. Actively seek user feedback. Based on competitor criticism, implement a clear feedback mechanism within the app and encourage users to suggest improvements or report issues. Iterate quickly based on this feedback.
  7. Differentiate through unique AI features. Don't just copy existing features like background removal. Explore novel AI-powered editing capabilities that set you apart from the competition and cater to a specific user need.
  8. Be transparent about monetization. Fotor AI got criticized for a lack of a clear revenue model, so clearly communicate your pricing and subscription options upfront to avoid surprising or frustrating users.

Questions

  1. What specific types of photos or editing tasks will your AI excel at compared to existing solutions? What is your plan to prove this superiority to potential users?
  2. Given the freemium model, how will you balance offering enough value in the free version to attract users while incentivizing them to upgrade to a paid plan?
  3. How do you plan to adapt your AI model and app features based on user feedback and the evolving landscape of AI photo editing technology?

Your are here

You're entering a crowded space with your AI photo editing app, as indicated by the 20 similar products we found. The good news is that there's clearly demand, as evidenced by the medium engagement on these products. Since similar products fall into the 'Freemium' category, people generally like using these tools but are hesitant to pay. Your challenge will be to identify who values the free features the most, and then build premium features tailored to them that they will gladly pay for. Remember that even though AI removal is a key feature, some users find that lack of customization is a key drawback.

Recommendations

  1. Focus on a niche within photo editing. Since object and people removal are common, consider specializing in a specific type of image (e.g., architectural photos, product photography, or portrait touch-ups). This will allow you to tailor your AI and marketing efforts.
  2. Prioritize the quality and speed of your AI processing, since negative feedback often mentions slow processing times. Since you plan to run the AI locally, optimize the app for performance on a range of devices to avoid frustrating users.
  3. Offer granular control over the AI editing process. Users often complain about the lack of customization. Let users adjust the intensity of the AI effects, manually refine the results, and undo changes easily.
  4. Consider a tiered freemium model. Offer basic object removal and editing features for free, and reserve more advanced AI functions, batch processing, or higher resolution exports for paying customers.
  5. Explore team or professional pricing. If your app is useful for businesses or creative professionals, consider offering team licenses or subscription plans with collaboration features and priority support.
  6. Actively seek user feedback. Based on competitor criticism, implement a clear feedback mechanism within the app and encourage users to suggest improvements or report issues. Iterate quickly based on this feedback.
  7. Differentiate through unique AI features. Don't just copy existing features like background removal. Explore novel AI-powered editing capabilities that set you apart from the competition and cater to a specific user need.
  8. Be transparent about monetization. Fotor AI got criticized for a lack of a clear revenue model, so clearly communicate your pricing and subscription options upfront to avoid surprising or frustrating users.

Questions

  1. What specific types of photos or editing tasks will your AI excel at compared to existing solutions? What is your plan to prove this superiority to potential users?
  2. Given the freemium model, how will you balance offering enough value in the free version to attract users while incentivizing them to upgrade to a paid plan?
  3. How do you plan to adapt your AI model and app features based on user feedback and the evolving landscape of AI photo editing technology?

  • Confidence: High
    • Number of similar products: 20
  • Engagement: Medium
    • Average number of comments: 6
  • Net use signal: 13.7%
    • Positive use signal: 14.2%
    • Negative use signal: 0.5%
  • Net buy signal: 0.0%
    • Positive buy signal: 0.0%
    • Negative buy signal: 0.0%

This chart summarizes all the similar products we found for your idea in a single plot.

The x-axis represents the overall feedback each product received. This is calculated from the net use and buy signals that were expressed in the comments. The maximum is +1, which means all comments (across all similar products) were positive, expressed a willingness to use & buy said product. The minimum is -1 and it means the exact opposite.

The y-axis captures the strength of the signal, i.e. how many people commented and how does this rank against other products in this category. The maximum is +1, which means these products were the most liked, upvoted and talked about launches recently. The minimum is 0, meaning zero engagement or feedback was received.

The sizes of the product dots are determined by the relevance to your idea, where 10 is the maximum.

Your idea is the big blueish dot, which should lie somewhere in the polygon defined by these products. It can be off-center because we use custom weighting to summarize these metrics.

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