Contract in,
answer out

PDF, Word, Excel, PowerPoint, OpenDocument and RTF. You drop the file into the chat and Qwirbel works with it – summarise, answer questions about it, pick out passages, put content into another form.

A photographed or scanned contract is at first only an image to the computer – there is no text layer in it that could be read. Qwirbel says so openly instead of guessing. Anyone regularly handling such documents needs text recognition first.

It stays on your machine. It is not uploaded, not staged at a provider and not used for training. That is exactly the point with contracts, medical records or personnel files – papers you may not or will not give to a cloud service.

That depends on the model's context window, and that in turn on the card. A very long document can exceed the window – Qwirbel then works section by section. At 90 percent it saves first instead of quietly truncating.

Documents you need often do not belong in every chat but in your knowledge store. The agent then searches them itself when needed, without you attaching them each time.

No. Reading happens locally. Only if you deliberately chose an external model for the answer does that excerpt go there – the file itself stays with you.

Only if a text layer exists. For a pure scan it says so honestly instead of guessing. Such files need text recognition first.

There is no plan limit. The practical limit is how much text the chosen model can hold at once – for very long documents it pays to ask about specific sections.

That is exactly what local operation is for: there is no processor involved because the data never leaves the building. Whether a specific case is permissible remains your decision – we don't give legal advice.