# OCR.net vs Note a Mess

The clearest difference is device support: OCR.net at 3 against Note a Mess's 1. OCR.net also leads on iOS requirement (6.0 vs 16.4). On price, ads and in-app purchases there is nothing between them.

Both are free to download. Neither carries in-app purchases, so what you see is what you pay.

## The numbers

| Metric | OCR.net | Note a Mess |
| --- | --- | --- |
| Price | Free | Free |
| Rating | **[1.0 (1 ratings)](https://appshunter.io/ios/app/ocrnet/id1167120765/reviews)** | — |
| Number of ratings | **1** | — |
| In-app purchases | No | No |
| Ads | No | No |
| Update frequency | — | Weekly |
| Monetization | Free | — |
| Size | 18 MB | 36 MB |
| Requires iOS | **6.0** | 16.4 |
| Devices | **iPhone, iPad, iPod** | iPhone |
| Age rating | 4+ | 4+ |
| Developer | [Web Lite Solutions Corp.](https://appshunter.io/developer/517543579) | [ALPER OEDEN](https://appshunter.io/developer/6781968310) |

## What reviewers say

### OCR.net

[App page](https://appshunter.io/ios/app/ocrnet/id1167120765)

This app uses optical character recognition to convert images and scanned PDFs into editable text or searchable PDF documents. It supports numerous languages and offers a simple interface for file selection or direct capture. OCR processing is handled efficiently on a remote server.

**Highlights:** Image to editable text conversion, Scanned PDF to editable text, Scanned PDF to searchable PDF, Supports dozens of languages, Sleek and simple interface, Direct file sending from other apps

**Features:** macOS Compatibility

**In-app purchases:** none


### Note a Mess

[App page](https://appshunter.io/ios/app/note-a-mess/id6789023551)

**Features:** macOS Compatibility, Vision Pro support

**In-app purchases:** none


## Frequently asked questions

### Is OCR.net free?

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

### Is Note a Mess free?

Note a Mess is free to download, with no in-app purchases.

### Do OCR.net or Note a Mess have ads?

Neither OCR.net nor Note a Mess shows ads.

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