WoodID: AI Wood Identification

WoodID: AI Wood Identification

AI Wood Identification Tool

5 ratings
2 reviews
Free

Details

  • Released
  • Updated
  • June 18, 2024
  • September 8, 2025

Features

WoodID: AI Wood Identification screenshot #1 for iPhone
WoodID: AI Wood Identification screenshot #2 for iPhone
WoodID: AI Wood Identification screenshot #3 for iPhone
WoodID: AI Wood Identification screenshot #4 for iPhone
WoodID: AI Wood Identification screenshot #5 for iPhone
WoodID: AI Wood Identification screenshot #6 for iPhone
WoodID: AI Wood Identification screenshot #7 for iPhone
WoodID: AI Wood Identification screenshot #8 for iPhone
WoodID: AI Wood Identification screenshot #9 for iPhone
WoodID: AI Wood Identification screenshot #10 for iPhone
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About

Identify wood species using advanced AI and high-magnification imaging. Supports 260 common species with detailed information and guides. Integrates with compatible microscopes and external cameras.

βœ“AI-powered wood species identification
βœ“High-magnification image capture (50x)
βœ“Supports 260 common wood species
βœ“Detailed wood species database
βœ“Compatibility with Dino-lite microscopes
βœ“Supports external cameras
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What's New in WoodID

2.0.7

September 8, 2025

Update Interface

User reviews

fake

doesnt work

Response from developer

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

Thinks everything is pine

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.

Response from developer

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!

Developer apps

FAQ

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.