Ask a PDF anything — with an AI that never uploads it
Questions, summaries and field extraction, answered on your device with page citations — or with your own API key, sending excerpts only.
Ask your PDF now — free →Bindery reads the document’s text on your device, indexes it into page-aware passages and retrieves the ones relevant to your question. A small instruct model then answers in your browser on WebGPU — Qwen 2.5, Llama 3.2 or SmolLM2, downloaded once into the browser cache — and every claim is cited with a page number so you can check it.
Prefer a bigger model? Point Bindery at an OpenAI-compatible endpoint with your own key (OpenAI, Groq, OpenRouter, Mistral or a local Ollama). Then only the retrieved excerpts and your question are sent, never the whole file, and the key stays in your browser. Other “chat with PDF” tools upload the entire document to their servers first. Bindery runs entirely in your browser — your file is never uploaded, so there is nothing to delete from a server afterwards.
How it works
- Drop the PDF and open Ask this PDF — its text is indexed locally
- Load the on-device model once (or save your own endpoint)
- Ask, summarise or extract fields as JSON — answers cite pages
Questions people ask
How good are the on-device answers?
Small models are excellent at finding and quoting the right passage and weaker at long reasoning. Because retrieval and citations are done by Bindery, you always see which pages the answer came from; for hard analysis, use your own key with a larger model.
What exactly is sent when I use my own key?
The handful of passages Bindery retrieved for your question (typically a few thousand characters) plus the question itself, to the endpoint you configured. Never the full document, never to Bindery.
Does it work on scanned PDFs?
Run OCR first — it is on-device too — so the pages have a text layer to read.