Feature

Search Your Own PDFs, Word Docs, Audio, and Video

Jun 2, 2026 The Momor Team 3 min read

2026-06-02 — Search Your Own PDFs, Word Docs, Audio, and Video

Until now, Momor answered from what it could find and fetch on the web. But plenty of the questions worth asking are about a file you already have — a contract, a report, a recording, a clip. This update lets you upload those files and ask questions about them in plain language.

Highlights

  • Ask questions about PDF and Word documents you upload
  • Audio and video files are read and described, not just attached
  • Document search uses the same plain-language box as web search
  • Files are validated on upload and used only as processing inputs

Ask questions about your PDFs and Word documents

Attach a PDF or a Word document and Momor reads it, so you can ask what's in it, what it means, or how it compares to what's on the web — instead of opening the file and scrolling it yourself. This is document search the way it should work: you ask, the AI reads the source, you get a grounded answer.

Audio and video that get understood

Files with audio or video aren't just carried along as a name and an icon. Momor can describe and reason about what's actually in them, which turns "here's a file" into "here's what's in this file and what it tells you."

Same search box, more sources

You attach what you've got and ask the way you always do — exactly like a normal search. The uploaded files become part of the context for the answer, checked on the way in and used to ground what comes back. For teams working with sensitive material, the same document understanding underpins Momor for enterprise.

Why This Matters

The best answer often depends on a source that was never on the public web — it was on your machine. Letting Momor read what you bring closes the gap between "search the world" and "make sense of this document right here," using one engine for both.

What this means for you: drop in a PDF, a Word doc, a recording, or a clip, ask your question in plain language, and get an answer grounded in the file you actually handed over.