# Stand Desk vs Paperless Ingest

The clearest difference is iOS requirement: Stand Desk at 10.0 against Paperless Ingest's 17.0. On price 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 | Stand Desk | Paperless Ingest |
| --- | --- | --- |
| Price | Free | Free |
| Rating | — | **[4.8 (20 ratings)](https://appshunter.io/ios/app/paperless-ingest/id6758277408/reviews)** |
| Number of ratings | — | **20** |
| Positive reviews | — | 100.0% of reviews |
| In-app purchases | No | No |
| Ads | — | No |
| Update frequency | — | Every 2 months |
| Monetization | — | Free |
| Size | 40 MB | 1 MB |
| Requires iOS | **10.0** | 17.0 |
| Devices | — | **iPhone** |
| Age rating | 4+ | 4+ |
| Developer | [Cranfield Design Limited](https://appshunter.io/developer/1651541708) | [Nick Bouwhuis](https://appshunter.io/developer/1778865858) |

## What reviewers say

### Stand Desk

[App page](https://appshunter.io/ios/app/stand-desk/id6444016245)

**In-app purchases:** none


### Paperless Ingest

[App page](https://appshunter.io/ios/app/paperless-ingest/id6758277408)

Scan paper documents directly to your Paperless-ngx server with intelligent on-device analysis. Automatically detect titles, correspondents, document types, and dates for effortless organization. Ensures privacy by processing all data locally before uploading.

**Highlights:** Smart document scanning with edge detection, On-device AI analysis for metadata, Automatic title, correspondent, and type detection, Date extraction, Privacy-focused local processing, Full metadata editing before upload, Seamless Paperless-ngx integration

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

**In-app purchases:** none


## Frequently asked questions

### Is Stand Desk free?

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

### Is Paperless Ingest free?

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

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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.*