Asker-I is an AI-powered tool designed to generate questions from text-based materials with an aim to save time and reduce intellectual demand. Upon uploading text in formats like .txt, .docx, or .pdf, the tool synthesizes the content and generates a range of question types such as single-choice, multiple-choice, fill-in-the-blank and short answer questions to facilitate learning or testing processes.

It supports batch creation by handling multiple documents simultaneously. Asker-I exhibits intelligent customization of questions, considering distinct variables like the hardness level of the questions and other specific requirements like clarity, conciseness, need for calculation skills, complexity, and sensitivity of topics.

The versatility of the tool allows the user to avoid overly easy or overly specialized questions, with each option being reasonable and derived from common mistakes or misunderstandings to promote conceptual understanding.

The tool also incorporates large uploads, capable of reading materials up to a significant length. After processing the material, results can be quickly exported in common formats for easy review.

Moreover, it critically evaluates the uploaded material, aiding in the review process. This user-friendly tool strives to create an efficient study or examination environment by producing targeted questions based on the uploaded content.