Chat with a Word Document — Ask Questions About a DOCX File

A .doc is a binary OLE format from before 2007, and there is no browser-side reader for it. Open it in Word, LibreOffice or Google Docs and save it as .docx, which is a zip of XML and can be read here.

Because a .docx has no page numbers. Pagination is computed by whatever application renders it, and depends on the fonts and page size in use, so any page number shown here would be invented. The heading a passage sits under is written in the file itself and is the same wherever you open it.

Table text is read as part of the body. Headers, footers, footnotes and comments are not, because they repeat across the document and would flood the index with near-identical passages that crowd out the real content.

No. The file is read, split, indexed and answered entirely inside this browser tab. The only thing downloaded is the model itself, from Hugging Face, and that happens once and is then cached. Nothing about your document goes the other way — which is the point of using this rather than a service on a contract, a payslip or a medical letter.

The document is split into passages and each one is turned into a vector that captures its meaning. Your question is turned into a vector the same way, the closest few passages are found by comparing them, and only those passages are given to the answer model. This is the same retrieval-augmented approach the hosted services use; the difference is that here the retrieval and the answering both happen on your device.

It is a model between 65 and 400 megabytes, which is one to four orders of magnitude smaller than a hosted assistant. It is good at pulling out a fact that is stated plainly in one place and much weaker at questions requiring several parts of the document to be combined, or at anything needing judgement. That is exactly why the passages behind every answer are shown with it — the answer is a shortcut to the right paragraph, not a substitute for reading it.

It says so rather than inventing one. Two separate checks make that possible: if no passage is even topically close to the question, the question is never put to the model at all, and when the extractive model is used its confidence is thresholded, because that model always returns its best guess and only its low confidence distinguishes a guess from an answer.

Neither. There is no key to obtain, no sign-up, no quota and no per-question cost. The trade is that the models are small enough to run on your own hardware, and answer quality reflects that.

After the first run, yes. The model is cached by the browser, so a second visit works with no network at all. The first visit has to download it.