Digitization: Difference between revisions

Revision as of 07:50, 21 June 2025

Revision as of 12:53, 21 June 2025

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Digitizing may also be used in the field of apparel, where an image may be recreated with the help of [[Machine embroidery#Computerized machine embroidery|embroidery digitizing]] software tools and saved as [[Machine embroidery#List of machine embroidery design file extensions|embroidery machine]] code. This machine code is fed into an embroidery machine and applied to the fabric. The most supported format is DST file. Apparel companies also digitize clothing patterns.{{Citation needed|date=August 2009}}<ref>{{Cite journal|last=Hedstrom|first=Margaret|date=1997-05-01|title=Digital Preservation: A Time Bomb for Digital Libraries|journal=Computers and the Humanities|volume=31|issue=3|pages=189–202|doi=10.1023/A:1000676723815|issn=1572-8412|hdl=2027.42/42573|s2cid=15327062 |url=https://deepblue.lib.umich.edu/bitstream/2027.42/42573/1/10579_2004_Article_153071.pdf|hdl-access=free}}</ref>

Another form of digitizing is plot digitization, where a visual graph/plot/chart is converted into tabular data. This is a common task for researchers, students, consultants, and investment bankers. Historically, this has been done with manual tools like webplotdigitizer, but new AI-enabled tools like [https://graph2table.com graph2table] are gaining traction.

== History ==