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Penpower ePaper Writing Pad (Win/Mac) - USB Port - Mac, PC SPPJLCB1TC

Penpower ePaper Writing Pad (Win/Mac) - USB Port - Mac, PC SPPJLCB1TC
Brand: Penpower, Inc
Part Number: SPPJLCB1TC
Availability: 5 or more
Condition: New
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Penpower ePaper Writing Pad (Win/Mac) - USB Port - Mac, PC

PenPower ePaper Writing Pad adopts Boogie Board LCD eWriter Technology, which makes ink appear while writing on the panel. Users can input words, send e-signatures and handwritten messages on PC, or freely leave a memo on the pad without connecting to a PC/NB. Product FeatureBoogie Board™ LCD eWriter Technology PenPower ePaper Writing Pad adopts cutting-edge Boogie Board™ LCD eWriter technology, which makes the ink appear simultaneously while writing on the panel. User can input a paragraph of words into PC with just one click. Instant Handwritten Message PenPower ePaper Writing Pad enriches your chatting experiences by sending the original handwriting messages or drawings through the PC versions of Line, Facebook Messenger, Skype, QQ and WeChat Digitized Signature It is not necessary to print out the quotations or contracts for signing. Just sign on the panel, send the handwriting signature to e-documents on PC, and then complete the signing process efficiently. Eco-friendly with Paperless Writing PenPower ePaper Writing Pad is a great eco-friendly tool for saving paper. It can be written and erased repeatedly at least 50,000 times. User can freely leave a memo, message or sketch on the writing pad without power connection. Large-sized Writing Pad With a big 5-inch panel, users can easily write about 20 Chinese words consecutively on the pad. The large-sized panel and ergonomically designed pen bring user a more convenient and comfortable writing experience. Accurate Recognition and Powerful Functions Recognize Traditional Chinese, Simplified Chinese, Hong Kong characters (HKSCS2008), English letters, symbols, numbers, Japanese Katakana and Hiragana. PenPower ePaper Writing Pad offers fast and accurate recognition by integrating with the functions of text prediction and user handwriting pattern learning.