Data AnalysisVerified

Reviewed and published by trentmaziarz, April 22, 2026. Discovered and drafted by our automated research pipeline.

Wacom tested a proof-of-concept system with the German Research Center for Artificial Intelligence (DFKI) that uses AI to analyze handwritten notes created on Wacom tablets, identify the meaning of text and drawings, and automatically surface relevant information from a knowledge base. This was publicly demonstrated in late 2018 and remains part of Wacom's stated vision for its digital ink platform.

Details

The system uses Wacom's WILL (Wacom Ink Layer Language) framework combined with DFKI's CoMem knowledge management system. AI classifies each pen stroke as handwritten text, a hand-drawn diagram, or a doodle, then performs named entity recognition on the text to identify dates, contacts, topics, and other entities. It then proactively retrieves and presents related information — such as meeting dates, contact details, or related documents — from a personal or enterprise knowledge graph. The proof of concept was publicly demonstrated at the Samsung Developer Conference in November 2018. As of the most recent sources, this remains a research and platform-level capability rather than a shipping end-user product.

Products affected

WILL SDK (Wacom Ink Layer Language)Semantic Ink

Sources & Evidence

Company Disclosure

Company DisclosureVerified

Understanding Semantic Ink With Wacom Technology

Wacom Community·Dec 2025

https://community.wacom.com/en-us/understand-wacom-semantic-ink/

Company DisclosureVerified

Wacom and DFKI realize enhanced semantic technologies with digital ink

Wacom·Nov 2018

https://www.wacom.com/en-us/about-wacom/news-and-events/2018/1335

News Article

Digital Stationery Consortium Members Wacom and DFKI Realize Enhanced Semantic Technologies with Digital Ink

Digital Stationery Consortium·Nov 2018

https://digitalstationeryconsortium.org/digital-stationery-consortium-members-wacom-and-dfki-realize-enhanced-semantic-technologies-with-digital-ink/

Cite this record

Trace Foundation. (2026). Wacom: Wacom tested a proof-of-concept system with the German Research Center for Artificial Intelligence (DFKI) that uses AI to analyze handwritten notes created on Wacom tablets, identify the meaning of text and drawings, and automatically surface relevant information from a knowledge base. This was publicly demonstrated in late 2018 and remains part of Wacom's stated vision for its digital ink platform (data as of 2026-04-22) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/e21de264-33e5-443a-bffc-df816cf78103. Accessed September 11, 2026.

Stable link: https://www.aitrace.org/r/practice/e21de264-33e5-443a-bffc-df816cf78103
Data as of: April 22, 2026
Last verified: April 22, 2026

How to cite AI Trace

Other practices by Wacom

OtherWacom offers Yuify, a service that embeds an invisible digital watermark into artwork files so artists can prove they created a piece and control who uses it. The open beta launched in November 2024 and works as a plugin inside popular image-editing apps including Photoshop and Clip Studio Paint.ProductivityWacom offers the Wacom Ink SDK for Verification, a software toolkit that organizations integrate into their document systems to automatically verify whether a handwritten electronic signature matches a registered reference, producing an instant accept/reject score in real time.Data AnalysisWacom developed 'AI Ink for Education,' a research-stage system that uses AI to analyze eye movements and pen stroke data captured while students are writing, in order to identify each student's learning patterns and tailor the educational environment to them. This was developed in cooperation with design engineering firm sdtech, Inc., with joint development announced in May 2021.

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