# WoodID: AI Wood Identification — AI Wood Identification Tool

> AI-powered wood species identification tool with detailed database and imaging support. (iPhone/iPad app by Khanh Nguyen Trong.)

- Source: https://appshunter.io/ios/app/woodid-ai-wood-identification/id6504000600 (this page in markdown: same URL + `.md`)
- Developer: [Khanh Nguyen Trong](https://appshunter.io/developer/1618350663)
- Category: Utilities, Productivity
- Price: Free
- Rating: 1.00/5 from 5 App Store ratings · 2 written reviews indexed
- Age rating: 4+
- Requires: iOS 12.0 · 287 MB
- Languages: English
- Released: 2024-06-18
- Data updated: 2026-06-01
- Monetization: free
- User reviews in markdown: https://appshunter.io/ios/app/woodid-ai-wood-identification/id6504000600/reviews.md

## What is WoodID?

WoodID (https://woodid.aitc.vn/) is a cutting-edge deep learning-based application designed to assist users in identifying wood species with high accuracy. Utilizing advanced machine learning algorithms, WoodID currently supports the identification of 260 common wood species that are frequently imported into Vietnam. This powerful tool is an invaluable asset for professionals in forestry, customs, woodworking, and enthusiasts alike.

Key Features:
1. Advanced Deep Learning Model:
WoodID leverages an advanced deep learning model to analyze and recognize wood species. The model has been meticulously trained on a vast dataset of wood cross-sectional images, ensuring high accuracy and reliability in species identification. With continuous updates and learning, the model improves over time, providing users with increasingly precise results.

2. High Magnification Image Capture:
WoodID is designed to capture high-magnification images of wood cross-sections at 50x magnification. This level of detail is crucial for accurate identification, as it allows the model to analyze intricate anatomical features of the wood that are not visible to the naked eye.

3. Compatibility with Dino-lite Microscopes, Joyhonest wifi camera (MaxSee camera, DM Camera ..):
The app works seamlessly with macroscopic Dino-lite microscopes, Joyhonest based wifi camera, like MaxSee camera, DM Camera... This compatibility ensures that users can easily integrate WoodID into their existing workflows without the need for additional equipment.

4. Support for External Cameras:
In addition to microscope compatibility, WoodID supports the use of external cameras. Users can utilize the rear camera of their mobile devices in conjunction with external lenses, such as the 24x Apexel with 2-3x zooming. This flexibility makes it convenient for users to capture high-quality images in various settings and conditions.

5. Extensive Database of Wood Species:
WoodID comes with a comprehensive database containing detailed information on approximately 260 wood species commonly imported into Vietnam. Each entry in the database includes vital information such as: Scientific and common names, Country of origin, Wood density and hardness, Typical uses and applications, Visual characteristics such as color, grain pattern, and texture. This extensive database serves as a valuable resource for users, providing them with the necessary background information to make informed decisions based on the identification results.

6. Detailed Identification Guides:
To assist users in the identification process, WoodID includes a series of guides that outline key anatomical features and characteristics used to differentiate wood species. These guides cover aspects such as: Pore arrangement and size, Growth ring patterns, Ray structure and distribution, Parenchyma and fiber characteristics. These guides are designed to educate users on the fundamentals of wood anatomy, enhancing their understanding and enabling them to make more accurate identifications.

7. User-Friendly Interface:
The app features a user-friendly interface that makes it easy for users of all skill levels to navigate and utilize its powerful features. The intuitive design ensures that users can quickly capture images, access the database, and obtain identification results with minimal effort.

8. Regular Updates and Support:
WoodID is committed to providing ongoing support and updates to its users. The app regularly receives updates that include new wood species, improved identification algorithms, and additional features based on user feedback. Dedicated customer support is also available to assist users with any questions or issues they may encounter.

## Key features

- AI-powered wood species identification
- High-magnification image capture (50x)
- Supports 260 common wood species
- Detailed wood species database
- Compatibility with Dino-lite microscopes
- Supports external cameras

## Recent user reviews (2 of 2)

All indexed reviews: https://appshunter.io/ios/app/woodid-ai-wood-identification/id6504000600/reviews.md

### 1/5 — fake

*2025-09-15*

doesnt work

**Developer response:** Dear Sir/Madam,

Thank you for your comments. Could you please provide more details about the problem so that we can improve the app for your use?

P.S. WoodID works with a digital camera that supports 50–60x magnification.

Best regards,
AITC

### 1/5 — Thinks everything is pine

*2024-10-01*

Tried it on several different woods including one which I know is elm and it suggested pine as the most likely option, so no not great at the moment.

**Developer response:** Thank you very much for your comments. We are still testing the app's performance in different scenarios, and your feedback is very valuable for its improvement. Could you please describe in more detail how you used WoodID to identify the sample? Which lens or digital camera did you use? If possible, could you please send us the image you have so we can review it? You can send it to aitc.tech.vn@gmail.com. Thanks!

## Frequently asked questions about WoodID

### What wood species can WoodID identify?

WoodID currently supports the identification of 260 common wood species, particularly those frequently imported into Vietnam. The app's database includes scientific and common names, country of origin, density, hardness, and typical uses for each species.

### How accurate is WoodID's identification?

WoodID utilizes an advanced deep learning model trained on a vast dataset of wood images, aiming for high accuracy. The model continuously learns and improves with updates, providing increasingly precise results over time.

### What kind of images does WoodID require for identification?

For optimal results, WoodID is designed to capture high-magnification images of wood cross-sections at 50x magnification. This level of detail allows the AI to analyze intricate anatomical features crucial for accurate species identification.

### Can I use WoodID with my existing microscope?

Yes, WoodID is compatible with macroscopic Dino-lite microscopes and certain wifi cameras like MaxSee and DM Camera. This integration allows for seamless use within existing workflows.

### What if I don't have a compatible microscope?

WoodID also supports the use of external cameras, including the rear camera of your mobile device with external lenses like the 24x Apexel. This offers flexibility for capturing high-quality images in various settings.

### Does WoodID offer information beyond species identification?

Yes, the app provides detailed identification guides that outline key anatomical features used to differentiate wood species. It also includes comprehensive information on each species' characteristics, uses, and origin.

### Is WoodID available on all devices?

WoodID is available for iPhone, iPad, and iPod devices. It is designed for Apple's mobile operating system.

### How often is WoodID updated?

WoodID was last updated on 2025-09-08 with version 2.0.7. The app's deep learning model is designed for continuous improvement and learning, suggesting regular updates to enhance accuracy and features.

## Version history (last 5 releases)

### 2.0.7 — 2025-09-08

Update Interface

### 2.0.6 — 2025-09-05

Update icon

### 2.0.5 — 2025-08-07

Update logo

### 2.0.4 — 2025-08-04

Update interface

### 2.0.3 — 2025-05-15

Fix bugs

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## More apps by Khanh Nguyen Trong

- [LegalLog](https://appshunter.io/ios/app/legallog/id1618350661)

All apps by Khanh Nguyen Trong: https://appshunter.io/developer/1618350663

## Related topics

[wood identification](https://appshunter.io/ios/topics/wood-identification)

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*Data collected daily from the US App Store and indexed by [AppsHunter](https://appshunter.io/). User reviews are verbatim App Store reviews. Ratings, prices and chart positions refresh continuously; this snapshot is from 2026-06-01.*