  User-generated textual contents on the Internet are often noisy, erroneous,
and not in correct forms in grammar. In fact, some online users choose to
express their opinions online through carefully perturbed texts, especially in
controversial topics (e.g., politics, vaccine mandate) or abusive contexts
(e.g., cyberbullying, hate-speech). However, to the best of our knowledge,
there is no framework that explores these online ``human-written" perturbations
(as opposed to algorithm-generated perturbations). Therefore, we introduce an
interactive system called CRYPTEXT. CRYPTEXT is a data-intensive application
that provides the users with a database and several tools to extract and
interact with human-written perturbations. Specifically, CRYPTEXT helps look
up, perturb, and normalize (i.e., de-perturb) texts. CRYPTEXT also provides an
interactive interface to monitor and analyze text perturbations online. A short
demo video is available at: https://youtu.be/8WT3G8xjIoI
