---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "TreeID - Tree Identifier"
developer_entity: "Dionysus Labs, LLC"
bundle_id: "com.dionysus-labs.treeid"
app_store_id: "6670146277"
category: "Education"
primary_platform: "ios"
primary_monetization: "Free"
offline_capable: false
market_region: "US"
platforms: "iOS"
app_last_updated: "2025-05-09"
report_date: "2026-08-10"
last_verified: "2026-08-10T00:00:00.000Z"
report_version: "1.1"
total_reviews: 230
overall_rating: 4.4
sentiment: "Upset"
sentiment_score: 10
confidence: "low"
confidence_score: 0.3
top_complaint_theme: "Inaccurate identification results for tree species make the tool unreliable for nature enthusiasts"
review_sample_size: 3
total_review_count: 3
analyzed_review_count: 3
data_age_days: 6
momentum_velocity: "zombie"
intelligence_version: 3
tags: ["education", "free", "upset sentiment", "mobile app", "app review", "app analysis", "nature", "enthusiasts,", "students,"]
canonical_url: "https://marlvel.ai/apps/treeid-tree-identifier"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# TreeID - Tree Identifier Intelligence Report

## TL;DR {#tldr}

- **Category**: Education · Free
- **Signal**: Rating 4.41 · Sentiment Upset
- **Recent focus**: Inaccurate identification results for tree species make the tool unreliable for nature enthusiasts (top complaint)

> **TL;DR:** TreeID - Tree Identifier is a education app by Dionysus Labs, LLC, rated 4.41/5 by 230 users, with Upset user sentiment (10/100), available on iOS.
>
> **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** TreeID - Tree Identifier faces Upset user sentiment (4.41/5 from 230 reviews), with users reporting inaccurate identification results for tree species make the tool unreliable for nature enthusiasts as the primary concern.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Rating** | 4.41/5 (230 reviews) |
| **User Mood** | Upset |
| **Category** | Education |
| **Developer** | Dionysus Labs, LLC |
| **Pricing** | Free |
| **Platforms** | iOS |
| **Confidence** | Low (0.3/1.0) |
| **Data Age** | 6d |

## Metadata & Market Performance
- **Publisher:** Dionysus Labs, LLC
- **Category:** Education
- **Target Audience:** Nature enthusiasts, students, and hikers interested in identifying and cataloging local flora.
- **Platforms:** iOS
- **Version Reviewed:** 1.1
- **Report Date:** 2026-08-10
- **Signal Count:** 3 reviews analyzed
- **Confidence:** Low (0.3/1.0)
- **App Store ID (iOS):** 6670146277
- **Bundle ID:** com.dionysus-labs.treeid
- **Performance Trend:** Stable
- **Data Window:** Analysis based on signals collected up to 2026-08-10

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** TreeID is an image-recognition app for identifying tree species, designed for students and nature enthusiasts on iOS.
**Why users hire it:** Users hire TreeID to catalog local flora and learn tree characteristics, but the current identification engine fails to provide the reliable results required for field use.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Standard] AI Tree Identification:** Image recognition engine identifies tree species from uploaded photos or camera input.
  * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior.
- **[Standard] Tree Database:** Reference library containing data for over 8,000 tree species.
  * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior.
- **[Differentiator] Personal Collection:** Digital logbook for users to save and organize identified trees.
<!-- /section:features -->

<!-- section:market-position -->
## Market Position {#market-position}

TreeID maintains a 4.4-star rating across 230 reviews, but the lack of updates for over 15 months signals a stagnant market position.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Free
- **Tiers:** Free access to all features
- **Analysis:** The app is currently free, though user reviews report subscription-based monetization is present.

<!-- section:sentiment -->
## 🔴 User Sentiment (Low Confidence: 3 of 3 reviews analyzed) {#user-sentiment}
- **Overall Rating:** 4.41/5
- **Platform Split:** iOS 4.4/5 (230 ratings)
- **Overall Sentiment:** Upset
- **Note:** The 4.41/5 store rating reflects cumulative history, while the Upset sentiment reflects recent user reviews analyzed by our AI pipeline.

### Top Complaints (Impact Areas)

- **Inaccurate identification results for tree species make the tool unreliable for nature enthusiasts**

<!-- /section:sentiment -->
<!-- section:swot -->
## SWOT Analysis {#swot}

**Core Strengths:**
- Personal collection logbook creates data lock-in, increasing long-term retention

**Growth Levers:**
- Expanding the database with localized habitat data could improve identification reliability


<!-- /section:swot -->
## Recent Changes (v2 → v3) {#recent-changes}

The app remains in a stagnant state with no functional updates, though the analytical framing of its competitive risks and SWOT factors has been refined.

**Overall trend**: Stable
**Compared at**: 2026-08-10

### High-impact changes
- **[Shifted] SWOT Analysis Consolidation** (swot)

### Medium-impact changes
- **[Shifted] Executive Summary Narrative** (positioning)

<!-- section:whats-new -->
## What's New

- **Latest (v1.1, 1 years ago):** General bug fixes and performance improvements.
<!-- /section:whats-new -->

<!-- section:momentum -->
## App Momentum (Zombie) {#momentum}

- No major releases in 15 months
- Last update occurred May 2025

> **Cadence:** 1 total versions · 0 majors in last 6 months · 458 days since last update

<!-- /section:momentum -->

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

TreeID - Tree Identifier is an education app that is completely free.
It holds a 4.41/5 rating from 230 reviews.

<!-- speakable-start -->
> **Bottom Line:** TreeID offers a useful logbook for nature enthusiasts, but the core identification engine fails to meet user expectations, so the PM should prioritize engine accuracy over new feature development to prevent further churn.
<!-- speakable-end -->

**Best for:** Nature enthusiasts, students, and hikers interested in identifying and cataloging local flora.

<!-- section:pm-actions -->
### PM Action Plan (Next Best Moves)

- [ ] [PIVOT] Audit identification engine accuracy because user reviews flag incorrect results as the top frustration → improve retention
<!-- /section:pm-actions -->

<!-- section:outlook -->
### Outlook: Declining

The botanical identification market is consolidating around apps with active AI training cycles. TreeID's lack of updates leaves it exposed to competitors that iterate on identification accuracy, so the app will likely lose market share unless the core engine receives a significant refresh.

- 🔴 The 15-month update gap signals the app is in maintenance mode, which erodes user trust and prevents competitive parity.
<!-- /section:outlook -->

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

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

| Metric | Value |
| :--- | :--- |
| Overall Rating | 4.41/5 |
| Total Reviews | 230 |
| Sentiment | Upset (10/100) |
| Confidence | Low |
| Pricing Model | Free |
| Platforms | iOS |
| Key Features | 3 analyzed |
| Trend | Stable |
| Outlook | Declining |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **TreeID - Tree Identifier** (this app) | 4.41/5 | Upset | Dionysus Labs, LLC |
| [AlgoApp - Flashcards](https://marlvel.ai/apps/algoapp-flashcards) | 4.5/5 | n/a | AlgoApp Inc |
| [Elevate - Brain Training Games](https://marlvel.ai/apps/elevate-brain-training-games) | 4.7/5 | n/a | The Mind Company |
| [Flashcards Deluxe](https://marlvel.ai/apps/flashcards-deluxe) | 4.5/5 | N/A | OrangeOrApple.com |
| [Flash Cards Flashcards Maker](https://marlvel.ai/apps/flash-cards-flashcards-maker) | 4.0/5 | Mixed | Infinite Wave Media, LLC |
| [Flashcards maker - AI generate](https://marlvel.ai/apps/flashcards-maker-ai-generate) | 4.1/5 | Mixed | Teleprompter LLC |

## Company Profile
- **Developer:** Dionysus Labs, LLC

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/us/app/treeid-tree-identifier/id6670146277?uo=4)
- **Sources:** App store metadata, User reviews.

## Related Intel Reports
- [*AlgoApp - Flashcards*](https://marlvel.ai/apps/algoapp-flashcards) (AlgoApp Inc) · 4.5/5 Rating
- [*Elevate - Brain Training Games*](https://marlvel.ai/apps/elevate-brain-training-games) (The Mind Company) · 4.7/5 Rating
- [*Flashcards Deluxe*](https://marlvel.ai/apps/flashcards-deluxe) (OrangeOrApple.com) · 4.5/5 Rating
- [*Flash Cards Flashcards Maker*](https://marlvel.ai/apps/flash-cards-flashcards-maker) (Infinite Wave Media, LLC) · 4.0/5 Rating
- [*Flashcards maker - AI generate*](https://marlvel.ai/apps/flashcards-maker-ai-generate) (Teleprompter LLC) · 4.1/5 Rating
- [*Impulse - Brain Training*](https://marlvel.ai/apps/impulse-brain-training) (GMRD Apps Limited) · 4.6/5 Rating
- [*Peak - Brain Training*](https://marlvel.ai/apps/peak-brain-training) (Synaptic Labs) · 4.7/5 Rating
- [*자주 틀리는 우리말*](https://marlvel.ai/apps/app--424) (DaolSoft, Co., Ltd.) · N/A Rating
- [*달공부 - 한 달 공부 다이어리 + 루틴/공부 타이머*](https://marlvel.ai/apps/azlabs-dalstudy) (SuWon Choi) · N/A Rating
- [*타요콘 - 타요 아바타 놀이동화*](https://marlvel.ai/apps/com-kigle-project-tayocon) (KIGLE) · 3.1/5 Rating

## 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 into synthesised themes (no verbatim quotes).
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:** 0.3/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 3
- **Data Sources:** user reviews, 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:** 6 days since last refresh

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