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Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.
An enterprise-grade, high-performance application that parses PDF files from a source directory, extracts their raw text payloads using deep layout analysis (native reading-order reconstruction + multi-column heuristics), and writes corresponding `.txt` and/or `.md` files into a destination directory.
A dead simple plain-text editor. A bit like TextEdit or Notepad but even simpler and with fewer features. No hidden text. No formatting. No settings. One textarea and the current file. Raw bytes in, raw bytes out, UTF-8 by default, no line-ending weirdness. Install easily as a web app.