Summarize Articles: Free AI tools for Research Paper Understanding

Paywalls and subscription fees have made AI paper-reading tools feel like a recurring cost—so the practical takeaway here is a two-tool workflow that keeps research-paper understanding largely free. The core idea: use AI to generate fast “too long; didn’t read” summaries, extract key sections like conclusions, and then interactively ask questions or request explanations by highlighting specific text. That approach cuts the guesswork of where the important information lives and reduces the need to read every page end-to-end.

The first recommended tool is S i space (spelled “size space” in the transcript). After logging in, it provides a dashboard for tasks like literature reviews, extracting data from PDFs, and reading with an AI co-pilot. Its standout feature in the transcript is “extract data from PDFs,” which works by uploading a paper and then producing an at-a-glance view. Uploaded papers appear in a library with a “too long didn’t read” summary presented as a short, bullet-point overview. There are also section-focused views such as conclusions, which the narrator frames as an early stop for anyone working through many peer-reviewed articles.

S i space also includes a “read with AI co-pilot” mode. In this workflow, a user can upload a paper (especially if the first tool’s extraction isn’t sufficient), scroll through the document, highlight passages, and ask targeted questions. The co-pilot can then generate outputs such as “summarize,” “explain text,” or “related papers,” with follow-up questions supported after the initial response. The transcript emphasizes a reading strategy: start with the abstract, skim to build context, and highlight anything unclear to trigger simpler explanations. Notes can also be taken during this process.

The transcript notes that S i space’s interactive features have limits, but the speaker’s experience is that library capacity hasn’t been a problem. When those limits or credits become an issue, a second free option is recommended: “Explain Paper.” It’s described as completely free at the time of the transcript and focused on unlimited highlight explanations and follow-up questions, even though it lacks some of the broader features found in other tools. The workflow is similar: highlight a passage, choose an explanation level (ranging from “middle schooler” up to an expert), and receive a simplified paragraph that stays grounded in the text.

A key operational message ties everything together: repeatedly start at the abstract, then iterate through the paper by highlighting confusing or important sections and requesting explanations at an appropriate difficulty level (the transcript suggests aiming around high school to undergraduate for many readers). Over time, this builds a “sixth sense” for what a field is saying without needing to read every word. The overall promise is time savings—summarizing and explaining text interactively—while keeping the cost at zero using these two tools.