---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Wood Identifier: Tree & Bark"
developer_entity: "Isuru Lakmal"
bundle_id: "com.treewoodidentifier.circular"
app_store_id: "6755807032"
category: "Reference"
primary_platform: "ios"
primary_monetization: "Free"
offline_capable: false
market_region: "US"
platforms: "iOS"
app_last_updated: "2026-07-16"
report_date: "2026-08-12"
last_verified: "2026-08-12T00:00:00.000Z"
report_version: "1.2.0"
total_reviews: 0
confidence: "low"
confidence_score: 0.15
data_age_days: 4
momentum_velocity: "maintenance"
intelligence_version: 3
tags: ["reference", "free", "mobile app", "app review", "app analysis", "hikers,", "campers,", "woodworkers,"]
canonical_url: "https://marlvel.ai/apps/wood-identifier-tree-bark"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# Wood Identifier: Tree & Bark Intelligence Report

## TL;DR {#tldr}

- **Category**: Reference · Free

> **TL;DR:** Wood Identifier: Tree & Bark is a reference app by Isuru Lakmal, available on iOS.
>
> **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Wood Identifier: Tree & Bark is a reference app by Isuru Lakmal.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Category** | Reference |
| **Developer** | Isuru Lakmal |
| **Pricing** | Free |
| **Platforms** | iOS |
| **Confidence** | Low (0.15/1.0) |
| **Data Age** | 4d |

## Metadata & Market Performance
- **Publisher:** Isuru Lakmal
- **Category:** Reference
- **Target Audience:** Hikers, campers, woodworkers, and forestry students requiring year-round tree and timber identification.
- **Platforms:** iOS
- **Version Reviewed:** 1.2.0
- **Report Date:** 2026-08-12
- **Signal Count:** 0 reviews analyzed
- **Confidence:** Low (0.15/1.0)
- **App Store ID (iOS):** 6755807032
- **Bundle ID:** com.treewoodidentifier.circular
- **Performance Trend:** Mixed
- **Data Window:** Analysis based on signals collected up to 2026-08-12

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** Wood Identifier: Tree & Bark is a reference app for identifying tree species via bark and wood grain patterns on iOS.
**Why users hire it:** Users hire this app to identify trees during winter months when leaves are absent, a gap in standard botany tools.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Differentiator] Bark and Wood Grain Scanner:** AI-driven image recognition for tree bark and cut wood patterns to identify species without leaves.
  * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior.
- **[Differentiator] Winter Tree Identification:** Bark-based identification logic for deciduous trees during winter months.
<!-- /section:features -->

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

Wood Identifier: Tree & Bark occupies a specialized niche in the Reference category, focusing on winter-ready identification. The lack of monetization indicates a hobbyist-led approach rather than a commercial push for chart dominance.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Free
- **Tiers:** Free
- **Analysis:** The app is currently listed as free with no explicit subscription or IAP gates.

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

**Core Strengths:**
- Bark-based identification logic enables year-round utility for hikers.
- Specialized wood-grain scanner serves the niche woodworking hobbyist segment.
- Digital arboretum feature creates a personal library, increasing user stickiness.

**Growth Levers:**
- Education partnerships untapped as B2B distribution.
- Wearable integration for trail-side identification.


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

The app's competitive position is now framed as a hobbyist-led project facing stagnation due to a lack of revenue to fund AI model improvements.

**Overall trend**: Mixed
**Compared at**: 2026-08-12

### High-impact changes
- **[Added] Expanded Competitive Threats** (swot)
- **[Shifted] Executive Summary Tone** (positioning)

### Medium-impact changes
- **[Added] Monetization and Growth Weaknesses** (swot)

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

- **Latest (v1.2.0, 3 weeks ago):** UI and accuracy improvements.
<!-- /section:whats-new -->

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

- Ships minor UI and accuracy updates.
- Maintains infrequent, maintenance-mode release cadence.

> **Cadence:** 1 total versions · 0 majors in last 6 months · 26 days since last update

<!-- /section:momentum -->

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

Wood Identifier: Tree & Bark is a reference app that is completely free.

<!-- speakable-start -->
> **Bottom Line:** Wood Identifier: Tree & Bark provides a unique winter-identification mechanism that serves a clear user need, but the lack of a revenue model prevents the sustained AI investment required to defend its position, so the developer should pivot to a freemium model to fund accuracy updates.
<!-- speakable-end -->

**Best for:** Hikers, campers, woodworkers, and forestry students requiring year-round tree and timber identification.

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

- [ ] [INVEST] Implement a freemium model because the current free-only strategy lacks revenue to fund AI model updates → increase R&D budget.
<!-- /section:pm-actions -->

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

The reference-app market is consolidating around tools that offer year-round utility, favoring apps with high-frequency AI updates. Wood Identifier: Tree & Bark remains stable in its niche, but without a revenue stream, it faces long-term stagnation against better-funded competitors.

- ⚪ The latest release focuses on maintenance, which avoids churn but fails to expand the user base into new segments.
<!-- /section:outlook -->

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

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

| Metric | Value |
| :--- | :--- |
| Total Reviews | 0 |
| Confidence | Low |
| Pricing Model | Free |
| Platforms | iOS |
| Key Features | 2 analyzed |
| Trend | Mixed |
| Outlook | Stable |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Wood Identifier: Tree & Bark** (this app) | N/A/5 | N/A | Isuru Lakmal |
| [올어바웃성경](https://marlvel.ai/apps/com-allabout-bibleapp) | 5.0/5 | N/A | Gilju Lee |
| [Hallow: Prayer & Meditation](https://marlvel.ai/apps/hallow-prayer-meditation) | 4.7/5 | n/a | Hallow, Inc. |
| [고려대 한국어 속담 사전](https://marlvel.ai/apps/app--428) | N/A/5 | N/A | DaolSoft, Co., Ltd. |
| [우리말 의학사전](https://marlvel.ai/apps/app--427) | N/A/5 | N/A | DaolSoft, Co., Ltd. |
| [공인중개사 용어사전](https://marlvel.ai/apps/app--429) | N/A/5 | N/A | DaolSoft, Co., Ltd. |

## Company Profile
- **Developer:** Isuru Lakmal
- **Website:** [https://i5uru.me](https://i5uru.me)
- **Social:** [Instagram](https://instagram.com/your) · [LinkedIn](https://www.linkedin.com/in/isuru-lakmal-your-profile)

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/us/app/wood-identifier-tree-bark/id6755807032?uo=4)
- **Dev Site:** [Official Website](https://i5uru.me)
- **Sources:** Developer website content, App store metadata.

## Related Intel Reports
- [*올어바웃성경*](https://marlvel.ai/apps/com-allabout-bibleapp) (Gilju Lee) · 5.0/5 Rating
- [*Hallow: Prayer & Meditation*](https://marlvel.ai/apps/hallow-prayer-meditation) (Hallow, Inc.) · 4.7/5 Rating
- [*고려대 한국어 속담 사전*](https://marlvel.ai/apps/app--428) (DaolSoft, Co., Ltd.) · N/A Rating
- [*우리말 의학사전*](https://marlvel.ai/apps/app--427) (DaolSoft, Co., Ltd.) · N/A Rating
- [*공인중개사 용어사전*](https://marlvel.ai/apps/app--429) (DaolSoft, Co., Ltd.) · N/A Rating
- [*브리태니커 콘사이스 백과사전*](https://marlvel.ai/apps/app--425) (DaolSoft, Co., Ltd.) · N/A Rating
- [*100 Radio Hrvatska (HR) : Vijesti, glazba, Nogomet*](https://marlvel.ai/apps/100-radio-hrvatska-hr-vijesti-glazba-nogomet) (Thomas Gesland) · 1.0/5 Rating
- [*100 US Citizenship Test Questions 2017*](https://marlvel.ai/apps/100-us-citizenship-test-questions-2017) (Andrey Fetisov) · 4.7/5 Rating
- [*١٠١ پرسیار لە زانستی قورئان*](https://marlvel.ai/apps/app--952) (Abdulwahab F. Omar) · 5.0/5 Rating
- [*112 Bible Maps + Commentaries*](https://marlvel.ai/apps/com-biblestudypro-112biblemaps) (Sand Apps Inc.) · 3.5/5 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:** 0.15/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 0
- **Data Sources:** developer website, 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:** 4 days since last refresh

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