# BitPath vs SlashScan

BitPath and SlashScan are too close to call on the numbers: across 5 compared parameters — price, ads, in-app purchases and device support among them — neither pulls far enough ahead to decide it. What separates them is feature set and interface, not measurable difference.

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

## The numbers

| Metric | BitPath | SlashScan |
| --- | --- | --- |
| Price | Free | Free |
| Rating | — | **[5.0 (2 ratings)](https://appshunter.io/ios/app/slashscan/id6740838119/reviews)** |
| Number of ratings | — | **2** |
| In-app purchases | No | No |
| Ads | No | No |
| Update frequency | — | Every 6 months |
| Monetization | — | Free |
| Size | 2 MB | 16 MB |
| Requires iOS | 17.5 | **16.6** |
| Devices | iPhone, iPad | iPhone, iPad |
| Age rating | 4+ | 4+ |
| Developer | [Discovery Management Group](https://appshunter.io/developer/1349983968) | [Heesung Woo](https://appshunter.io/developer/1791874369) |

## What reviewers say

### BitPath

[App page](https://appshunter.io/ios/app/bitpath/id6680189291)

**Features:** macOS Compatibility

**In-app purchases:** none


### SlashScan

[App page](https://appshunter.io/ios/app/slashscan/id6740838119)

This app uses LiDAR on compatible iPads to scan and estimate the volume of forest slash piles in real-time. It generates 3D models and allows for offline processing, making it ideal for forestry operations and research in remote areas.

**Highlights:** Real-time 3D scanning with LiDAR, Automated 3D mesh reconstruction, Accurate volume estimation, Integrated mapping with GNSS tagging, Offline processing capability, Forest biomass inventory

**Features:** macOS Compatibility

**In-app purchases:** none


## Frequently asked questions

### Is BitPath free?

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

### Is SlashScan free?

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

### Do BitPath or SlashScan have ads?

Neither BitPath nor SlashScan 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.*