---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Pilze 123"
developer_entity: "Swift Management AG"
bundle_id: "ch.swift.species.mushroom"
app_store_id: "1089994995"
category: "Reference"
primary_platform: "ios"
primary_monetization: "Paid"
offline_capable: false
market_region: "US"
platforms: "iOS"
app_last_updated: "2025-08-04"
report_date: "2026-05-19"
last_verified: "2026-05-19T22:41:41.198Z"
report_version: "1.9.521"
total_reviews: 2
overall_rating: 5
confidence: "low"
confidence_score: 0.05
data_age_days: 43
intelligence_version: 2
tags: ["reference", "paid", "mobile app", "app review", "app analysis", "designed", "amateur", "professional"]
canonical_url: "https://marlvel.ai/apps/ch-swift-species-mushroom"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# Pilze 123 App Audit

## TL;DR {#tldr}

- **Category**: Reference · Paid
- **Signal**: Rating 5

> **TL;DR:** Pilze 123 is a reference app by Swift Management AG, rated 5/5 by 2 users, available on iOS.
>
> **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Pilze 123 is a reference app by Swift Management AG.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Rating** | 5/5 (2 reviews) |
| **Category** | Reference |
| **Developer** | Swift Management AG |
| **Pricing** | Paid |
| **Platforms** | iOS |
| **Confidence** | Low (0.05/1.0) |
| **Data Age** | 43d |

## Metadata & Market Performance
- **Publisher:** Swift Management AG
- **Category:** Reference
- **Target Audience:** The app is designed for both amateur and professional mushroom foragers seeking a portable, data-rich alternative to traditional field guides.
- **Platforms:** iOS
- **Version Audited:** 1.9.521
- **Audit Date:** 2026-05-19
- **Signal Count:** 0 reviews analyzed
- **Confidence:** Low (0.05/1.0)
- **App Store ID (iOS):** 1089994995
- **Bundle ID:** ch.swift.species.mushroom
- **Data Window:** Analysis based on signals collected up to 2026-05-19

<!-- section:executive-snapshot -->
## Executive Snapshot
Pilze 123 is a comprehensive digital reference tool designed to assist users in identifying fungi across Germany, Switzerland, and Austria. The app features a database of over 4,000 species supported by 15,000 images and a multi-parameter filtering system to streamline the identification process.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Standard] Extensive Database:** Provides detailed descriptions for over 4,000 mushroom species.
  * *User Intent:* Users seek enhanced value through premium features.
- **[Standard] Visual Library:** Includes a collection of over 15,000 high-quality photographs for visual reference.
- **[Standard] Advanced Filtering:** Allows users to identify mushrooms by selecting specific characteristics such as gill type, stem features, cap color, and growth habitat.
  * *User Intent:* Users want to quickly find relevant content or features.
<!-- /section:features -->

## Monetization Strategy
- **Model:** Paid
- **Price:** iOS: $29.99

<!-- section:so-what -->
## The "So What?" (Strategic Takeaway) {#so-what}

Pilze 123 is an established reference app that is a paid app.
With a 5/5 rating from 2 reviews, it shows polarized user reception.

<!-- speakable-start -->
> **Bottom Line:** Pilze 123 functions as a high-capacity, searchable digital encyclopedia intended to replace multiple physical field guides for mushroom identification.
<!-- speakable-end -->

**Best for:** The app is designed for both amateur and professional mushroom foragers seeking a portable, data-rich alternative to traditional field guides.

<!-- /section:so-what -->

<!-- section:metrics -->
## Key Metrics Summary

| Metric | Value |
| :--- | :--- |
| Overall Rating | 5/5 |
| Total Reviews | 2 |
| Confidence | Low |
| Pricing Model | Paid |
| Platforms | iOS |
| Key Features | 3 analyzed |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Pilze 123** (this app) | 5/5 | N/A | Swift Management AG |
| [Hallow: Prayer & Meditation](https://marlvel.ai/apps/hallow-prayer-meditation) | 4.7/5 | Excited | Hallow, Inc. |
| [Islamic World - Ramadan 2026](https://marlvel.ai/apps/islamic-world-ramadan-2026) | 4.7/5 | N/A | AppAspect Technologies Pvt. Ltd. |
| [Dua - Quran Hisnul Muslim Duas](https://marlvel.ai/apps/dua-quran-hisnul-muslim-duas) | 4.5/5 | N/A | ImranQureshi.com |
| [LuckyGame - Video Game Tracker](https://marlvel.ai/apps/luckygame-video-game-tracker) | 4.1/5 | N/A | Stuck at Home, LLC |
| [LookUp: English Dictionary](https://marlvel.ai/apps/lookup-english-dictionary) | 4.7/5 | N/A | Squircle Apps LLP |

## Company Profile
- **Developer:** Swift Management AG
- **Website:** [https://www.swift.ch](https://www.swift.ch)

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/de/app/pilze-123/id1089994995?uo=2)
- **Dev Site:** [Official Website](https://www.swift.ch)
- **Sources:** App store metadata.

## Related Intel Reports
- [*Hallow: Prayer & Meditation*](https://marlvel.ai/apps/hallow-prayer-meditation) (Hallow, Inc.) — 4.7/5 Rating | Positive Sentiment
- [*Islamic World - Ramadan 2026*](https://marlvel.ai/apps/islamic-world-ramadan-2026) (AppAspect Technologies Pvt. Ltd.) — 4.7/5 Rating | N/A Sentiment
- [*Dua - Quran Hisnul Muslim Duas*](https://marlvel.ai/apps/dua-quran-hisnul-muslim-duas) (ImranQureshi.com) — 4.5/5 Rating | N/A Sentiment
- [*LuckyGame - Video Game Tracker*](https://marlvel.ai/apps/luckygame-video-game-tracker) (Stuck at Home, LLC) — 4.1/5 Rating | N/A Sentiment
- [*LookUp: English Dictionary*](https://marlvel.ai/apps/lookup-english-dictionary) (Squircle Apps LLP) — 4.7/5 Rating | N/A Sentiment
- [*Motivation - Quotes & Music*](https://marlvel.ai/apps/motivation-quotes-music) (Tien Long Nguyen) — 4.8/5 Rating | N/A Sentiment
- [*Phonecard Identifier*](https://marlvel.ai/apps/phonecard-identifier) (Amir Wald) — 5.0/5 Rating | N/A Sentiment
- [*Siddur - Edot HaMizrach*](https://marlvel.ai/apps/siddur-edot-hamizrach) (Dor Pascal) — 1.0/5 Rating | N/A Sentiment
- [*Sanskrit/English Dictionary*](https://marlvel.ai/apps/sanskrit-english-dictionary) (FB PUBLISHING LLC) — 4.7/5 Rating | N/A Sentiment
- [*Antique Appraisal: ID Anything*](https://marlvel.ai/apps/antique-appraisal-id-anything) (Dung Vu) — 5.0/5 Rating | N/A Sentiment

## Methodology {#methodology}

This report was generated by Marlvel.ai's 5-stage AI intelligence pipeline:

1. **Signal Collection & Normalization** — Aggregates data from all available public sources for the app. Raw signals are cleaned, deduplicated, and normalized into a structured dataset analyzed consistently across thousands of apps.
2. **Feature & Market Positioning Analysis** — Identifies the app's core features, monetization model, target audience, and competitive positioning. Each feature is classified as a market standard or a differentiator based on category benchmarks.
3. **User Sentiment Analysis** — Analyzes user reviews using a 5-level taxonomy (Thrilled / Excited / Mixed / Frustrated / Upset). Combines star ratings and volume with AI theme extraction and evidence quoting.
4. **Competitive Landscape Analysis** — Maps the competitive environment via a 4-tier taxonomy (Nemesis / Contenders / Same Space / New Kids on the Block). Prioritizes same sub-genre over broad category.
5. **Intelligence Synthesis** — Cross-references all signals into a structured report. Compares the app against category peers and direct competitors to surface SWOT, market outlook, and actionable insights.

- **Confidence Score:** 0.05/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 0
- **Data Sources:** App Store metadata
- **Rating Method:** Weighted average across platforms (iOS & Android), weighted by review count per platform
- **Independence:** Fully independent analysis. No publisher sponsorship or editorial influence.
- **Report Age:** 43 days since last refresh

---
© 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/ch-swift-species-mushroom)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.