![]() Even out-of-the-box document scanning tools will try for this, and Adobe's DC Reader, if prompted to attempt to read a text, will do pretty well in making a text out of an image. There are increasingly more options for turning bitmap images of texts into computer-readable text. Take a look at using Tesseract 4 for OCR, using a few different languages as examples.Walk through some solutions for bulk transformation of image file types into formats that are OCR-ready.Review a few options for making the digital capture of a text. ![]() Its focus is on skills needed for an individual who is trying to bring together a corpus of texts for the purposes of text analysis, a website, a Digital Humanities project, or a small-scale digital library. ![]() This session is dedicated to exploring the tricks and tools available to build a workflow that turns digital images of text into computer-readable text. This lesson is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. Build Your Own Text-as-Data Corpus: A Print-to-Bytes Primer ΒΆ ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |