There are some great AI program summarizers today; however, accuracy is dependent upon how much data is submitted into AI programs. When submitting documents that are properly organized and clearly written (for example, an official article, thesis, etc.), AI summarizers tend to produce accurate results. AI summarizers will do poorly when summarizing long, substantial content that contain many complexity, or transcriptions that contain lots of filler and diverse tangents, as small amounts of information may become deleted or condense through process of summarization.

The overall quality of an AI summarizer output is dependent on the quality of its input (that is, output = quality of input). Summaries received from an AI summarizer will be inaccurate if resulting from documents that had messy formatting, were inappropriate for the audience, or contained terminology not known or used commonly to the average reader receiving summary.

Tools like Quetext's AI Summarizer help by letting you pick the format and length, So, unless you want a short summary in a bulleted format or longer, more report-like document, you will have whatever you are looking for. The smart habit is to always skim the original alongside the summary to catch anything that got lost. For a side-by-side look at how the top tools compare on accuracy, this breakdown of the best AI summarizers is worth a read.