AI · PDF reading
An AI PDF Reading Tool for Research
PDFs are designed for people to read, but research also means searching, comparing, and extracting. The problem is not another chat window. It is letting an Agent see the page, the passage, and the notes you already made.
From highlights to contextual questions
Select text in a PDF to ask, explain, or organize a passage. The conversation stays attached to the page, equation, or paragraph you are reading. Useful answers can settle into NOTES instead of vanishing when the thread ends.
Turn layout into structure
Figures, tables, and equations often matter more than running text. Agentero recognizes that structure so you can browse it and send it into Agent context. Asking what a regularizer is doing can then see the formula, not a broken OCR fragment.
The actions deep reading already needs
Page navigation, outlines, search, smooth selection, annotations, and side-by-side translation cover the common operations in a long paper. The Agent helps retrieve and organize. You still decide what to highlight and what counts as a conclusion.
Reading has to leave a residue
A useful answer should become Markdown in the Vault, not another disposable chat. Notes can wikilink to papers and concepts, so the next writing session or the next question can reuse them.
Not a generic PDF chatbot
Dropping one PDF into a web chat is fine for a one-off summary. It is a poor research habit. Agentero keeps reading inside the library: import, annotation, questions, translation, and the graph share one set of files.
Frequently asked questions
- Do I need the network to read PDFs?
- Opening, highlighting, and annotating are local. Network calls happen when you invoke a local Agent, a translation API you configured, or a PDF download.
- Does annotation rewrite the original PDF?
- No. Marks live in a separate directory. The original PDF stays intact for other readers or later imports.