# Dokument Scanner vs Neron

The clearest difference is in-app purchases: Neron at none against Dokument Scanner's 2. Neron also leads on iOS requirement (15.0 vs 17.0). Dokument Scanner's advantage is device support. On price there is nothing between them.

Both are free to download. Dokument Scanner sells 2 one-off in-app purchases. Neron asks for nothing beyond the download.

## The numbers

| Metric | Dokument Scanner | Neron |
| --- | --- | --- |
| Price | Free | Free |
| Rating | — | **[5.0 (2 ratings)](https://appshunter.io/ios/app/neron/id6478920126/reviews)** |
| Number of ratings | — | **2** |
| In-app purchases | Yes | **No** |
| Ads | No | — |
| Update frequency | Fortnightly | — |
| Monetization | — | Free |
| Size | 4 MB | 11 MB |
| Requires iOS | 17.0 | **15.0** |
| Devices | **iPhone, iPad** | — |
| Age rating | 4+ | 17+ |
| Developer | [power4-its](https://appshunter.io/developer/1604190464) | [F2P LLC](https://appshunter.io/developer/1486803137) |

## What reviewers say

### Dokument Scanner

[App page](https://appshunter.io/ios/app/dokument-scanner-powerscanner/id6478020031)

**In-app purchases (2)**

| Purchase | Price | Billing |
| --- | --- | --- |
| 3 floor plans | $6.99 | one-time |
| 10 floor plans | $59.99 | one-time |


### Neron

[App page](https://appshunter.io/ios/app/neron/id6478920126)

This app integrates leading AI models for text generation and image creation in one place. Effortlessly craft content with advanced language models and visualize it using various popular image generation tools without managing multiple subscriptions.

**Highlights:** GPT 4o text generation, Llama and Mistral language models, Midjourney image illustration, Stable Diffusion and DALL-E integration, Kandinsky and Firefly Image support, Unified interface for AI tools

**In-app purchases:** none


## Frequently asked questions

### Is Dokument Scanner free?

Dokument Scanner is free to download, with in-app purchases available.

### Is Neron free?

Neron is free to download, with no in-app purchases.

---

*Compared by [AppsHunter](https://appshunter.io/) from daily US App Store data. Review summaries are generated from verbatim App Store reviews.*