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Nakxi
Nakxi — AI App Store Screenshot Generator + ASO Tools (Free) | Nakxi
About Nakxi
Nakxi is an AI App Store Screenshot Generator and ASO platform for indie developers, startups, agencies, and ASO professionals — Screenshot Studio, Metadata AI, AI Localization in 80+ languages, Competitor Intelligence, Keyword Intelligence, Creative Library, and direct publish to App Store Connect and Google Play Console.
- Who it is for
- Indie developers, startups, agencies, and ASO professionals
- Problem it solves
- Optimizing an app store listing is often a fragmented, time-consuming process. Developers create screenshots in design tools, research competitors separately, write metadata manually, and struggle to identify what needs improvement. This makes it difficult to build a consistent ASO strategy, test different approaches, and improve listing conversion rates without investing significant time or money in multiple tools.
- The solution
- Nakxi brings the app store optimization workflow into one workspace. Create professional App Store and Google Play screenshots with an intuitive visual editor and AI-powered generation tools. Generate and improve metadata using competitor insights, analyze competing apps, identify growth opportunities, and organize listing experiments. Nakxi helps you move from researching and designing to optimizing your app listing more efficiently.
- What makes it unique
- Unlike tools focused on a single part of ASO, Nakxi combines creative production and listing optimization in one platform. Design and edit screenshots, generate metadata with AI, explore competitor strategies, evaluate listing opportunities, and plan experiments without constantly switching between tools. It is built for developers and teams who want a practical, more accessible way to manage their app store growth workflow.
Starting price: $12 / month, Billed $144 / year, or $19 / month billed monthly
View current pricingFeatures
Screenshot Studio for App Store and Google Play listings
AI App Screenshot Generator for Apple App Store and Google Play
App Store Screenshot Generator and Play Store Screenshot Generator
Screenshot Copy AI for conversion-focused captions
Metadata AI for titles, subtitles, and descriptions
AI Localization across 80+ languages including RTL
Details
- Platforms
- Web
- Pricing
- Freemium
- Subscription
- Built for
Indie developers, startups, agencies, and ASO professionals
- Building since
2025
Technology
Website performance
Recorded mobile lab measurements and finalized weekly standings from IndieTools Speed.
75GoodMobile Lighthouse
Measured · UTC
- Load time
- 538 ms
- FCP
- 1.98 s
- LCP
- 5.02 s
- CLS
- 0.000
- TTFB
- 9 ms
- TBT
- 67 ms
- Speed index
- 5.66 s
These stored lab observations describe controlled test runs. They are not real-user Core Web Vitals or a guarantee of search rankings. Weekly standings below remain attached to their finalized edition.
- Overall rank
- Not finalized
- Best overall rank
- Not finalized
- 0 top 10 finishes
- Best category rank
- Not finalized
- 0 category wins
- Latest change
- -2 score
- No finalized score yet
Method: psi-mobile-two-sample-mean-v1 · 2 samples per reading. Only readings with the same recorded method and sample count share a chart. Lab results can vary between runs.
Website performance history
Inspect every successful mobile Lighthouse lab measurement by metric and date range.
Range
Metric
Latest score
75 / 100
Higher is better
10 measurements
Use the left and right arrow keys to inspect measurements. Use Home or End to jump to the first or last measurement. Press Escape to dismiss the chart tooltip.
Oct 31, 2026Nov 7, 2026Domain Rating
Domain Rating by Ahrefs- DR3 (primary model)
- 5
No change since 6 Nov
- DR4
- Not measured yet
Measured · nakxi.com
What do DR4, DR3 and the model difference mean?
- DR4:
- Ahrefs' newer model. It gives more weight to links from sites with organic search traffic and rates a subdomain on its own links.
- DR3:
- The previous model, shown in the Ahrefs app until 1 December 2026.
- Model difference:
- DR4 minus DR3 for the same domain. The models calculate differently, so this is not growth or a drop; the “since” lines compare each model with itself.
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