Chat With Your PDF — Ask Questions, Get Answers
Ask questions about any PDF and get answers with context: contracts, reports, papers. Local AI reads it in your browser — the document never uploads. Free.
Reading a 60-page contract or a dense research paper to find five facts is a task machines do well — if you are willing to upload the document to a cloud service. This reader runs the language model locally: drop in the PDF, ask questions in plain language, get answers grounded in the actual text.
Use it for lease agreements, financial reports, academic papers, policy documents — anything too long to skim and too sensitive to upload. Nothing leaves your browser: the model, the document, and the conversation all stay on your machine.
100% in-browser · no upload · no signup · nothing you paste or drop here leaves your device
AI PDF Reader
Upload PDFs and ask questions about specific documents. Get page-by-page summaries, compare documents side-by-side, and search with AI-powered Q&A.
This tool runs 100% in your browser. All computation happens locally on your device — your input is never uploaded to any server. Results are for reference only.
How a PDF question gets answered — illustrated
Reading a document is a retrieval-augmented pipeline. Your PDF is parsed with PDF.js, the text is split into chunks, and each chunk is indexed into a TF-IDF vector space. When you ask a question, the query is vectorized the same way and matched to chunks by cosine similarity, so the most relevant passages surface even if your wording differs from the text. In Q&A mode, the top matches are then handed to the local LLM as context, which writes a sourced answer — without re-reading the whole document.
Search mode returns ranked passages with similarity scores; Q&A mode adds the local LLM, which synthesizes those passages into a cited answer.
Omar uploads a 14-page service agreement and switches to Q&A mode. Instead of scrolling, he asks a targeted question and lets retrieval pull the relevant clause.
- Upload:The 14-page PDF is parsed and chunked; every passage is TF-IDF indexed locally
- Query:"What are the payment terms?" is vectorized and scored against every chunk by cosine similarity
- Retrieval:The top 5 passages — including the payment clause on page 6 — are returned with similarity scores
- Synthesis:The LLM rewrites those passages into a concise answer citing [2] Page 6, so Omar verifies the source in seconds
About this chat with PDF
This page covers ai pdf summarizer free, ask questions to pdf document, pdf q&a tool no upload, summarize long pdf local — all the same underlying task as chat with PDF. The tool above is FreeToolHub's ai pdf reader embedded in full: every feature works right here, and nothing you process is uploaded to any server.
Frequently asked questions
How does chatting with a PDF work?
The tool extracts the text layer, then a local language model answers your questions with references to the relevant passages. Ask for a summary, specific clauses, numbers, or comparisons — each answer is grounded in the document rather than generated from general knowledge.
Is my PDF uploaded anywhere?
No. Parsing and the language model run entirely in your browser via WebAssembly; the file never crosses the network. That is the entire point for contracts, medical records, and internal documents where a cloud AI reader would be a data-leak risk.