Chat With Your Documents
We tested and ranked 49 Chat With Your Documents apps for Mac — updated August 2026.
Every app here was run on our own Apple-silicon Macs and scored on the published rubric — capability, craft, privacy, value. We watch the network while we test. How we rank →
You have a stack of PDFs — contracts, research papers, meeting notes — and you need a specific answer buried somewhere inside them. Skimming every file is slow; pasting contents into a cloud chatbot means your documents leave your Mac. Chat-with-documents apps solve both problems: they ingest your files, build a local index, and let you ask questions in plain language, returning answers grounded in your actual sources — often with citations pointing to the exact page. We evaluated 49 Mac apps in this category, scoring each on Capability, Craft, Privacy, and Value. The ranked list below spans tools from NLP-powered search engines to full on-device RAG assistants that run large language models entirely on your hardware.
The ranking — all 49
PDF Search
Muharrem OzkanSearches thousands of PDFs in seconds with on-device NLP that goes beyond simple keyword matching, plus built-in OCR for scanned pages. Practical, private, and completely free — though it finds relevant passages rather than generating conversational answers.
” Linguistic Search based on NLP; built-in OCR for Text Recognition; tokenizing and lemmatization while indexing — test note
Quirely - PDF Library Manager
Reggie FisherTurns your PDF library into a private RAG engine where every answer comes with inline citations that open the exact source page — built for researchers and clinicians who need hallucination-resistant, verifiable responses.
” "Private on-device chat assistant"; "Every answer is grounded in your sources—no hallucinations" — test note
DocuMind: Offline PDF AI Chat
Core Arc Studio LLCOffline PDF chat that grounds every answer in your imported files, with tappable citations linking to the exact page. Includes a built-in scanner for paper documents and earns a perfect 5.0 from its early reviewers.
” Completely on-device for full privacy; 100% offline, works without internet; Your files never leave your device — test note
NoteAI: Private Knowledge
xuezai lanA flexible private knowledge base that ingests many file types and lets you chat or run semantic vector searches using any local GGUF model — Qwen, Gemma, or whatever fits your hardware. Completely offline and free.
” 'grounded answers from local AI'; '100% OFFLINE & PRIVATE. No cloud. No servers'; 'LOCAL LLM SUPPORT - Qwen3.5, Gemma 4 - use any GGUF model'; 'Vector search.' — test note
Elephant Folio: PDF Library
Beroea Tech L.L.CA PDF knowledge manager that auto-files and tags documents by their actual contents using Apple Intelligence, with full-text search synced across devices. More an organizer than a conversational assistant, but the AI-driven classification is genuinely useful for large libraries.
” When Apple Intelligence is available...Elephant Folio can also read and tag documents on its own; Everything stays on your devices. Nothing is uploaded anywhere — test note
Elephas: Secure AI for Files
Selvam SA local-first RAG assistant that chats with your PDFs and notes, featuring smart redaction of sensitive data before processing. Offers both offline local AI and optional cloud models — useful flexibility, but the hybrid architecture means privacy hinges on which mode you pick.
” "local-first processing"; "Keeps your knowledge local whenever possible"; "Use offline AI or protected cloud models". — test note
FluidDocs
Artiste, LLCDesigned for field workers who need answers from manuals and specs with zero connectivity. Indexes PDFs, Markdown, and text files locally, returns grounded answers, and honestly admits when it lacks enough information to respond.
” turns your documents into answers — even when you're offline; FluidDocs indexes your documents locally; Your documents stay on your device — test note
askM
FEEL.AERO OUA niche RAG tool for aviation professionals that indexes technical manuals — FCOM, QRH, AFM — for semantic search with verifiable source citations. Runs entirely on-device with no network calls and no telemetry whatsoever.
” 'builds a local vector index on your device'; 'Runs entirely on this device — no cloud, no network, no telemetry'; 'The on-device language model.' — test note
TextMates
Anchen LiAn uncompromising privacy pick: the LLM, OCR, and search all run on-device via MLX and Apple Vision, delivering numbered citations and multi-document querying. No account, no subscription, no data collection of any kind.
” runs entirely on your device... no internet connection is required after initial setup; Apple's latest frameworks including MLX for on-device AI, Vision for OCR — test note
BrieFolio
ehsan azishA template-driven document intelligence tool that extracts structured insights from contracts, invoices, and research papers via six built-in templates, plus grounded Q&A for open-ended questions. All processing runs on-device through Apple Intelligence.
” 'using on-device AI'; 'All processing happens on your device using Apple Intelligence Foundation Models' — test note
How to choose Chat With Your Documents for Mac
Start with the kind of answers you need. Some apps here do linguistic search — fast, accurate keyword-and-concept matching across thousands of PDFs — while others run a local LLM to generate conversational answers with citations. If you just need to locate which document mentions a clause, a search tool like PDF Search is faster and lighter. If you want to ask "what are the payment terms across these three contracts?" and get a synthesized response, you need a RAG app with an on-device model. Privacy architecture varies more than you might expect. Most apps process everything on your Mac, but a few are hybrid — Elephas, for instance, can route queries through cloud models when you choose. Check whether "local" means the LLM itself runs on your hardware or just that files stay on disk while inference hits a remote server. Consider the model story too. Apps powered by Apple Intelligence need compatible hardware. Apps that load GGUF models (NoteAI) or MLX weights (TextMates, TextMatesApp) give you model choice but require more RAM and a first-run download. Free apps dominate this category, so price rarely decides — model compatibility and answer quality do.
Questions people ask
Can I ask questions about a PDF on my Mac without uploading it to a cloud service?
Every app on this list processes files on your Mac. Most also run the language model or search engine on-device, so your documents stay on your hardware from start to finish. A few hybrid tools like Elephas offer optional cloud models, but you can use their local mode exclusively. Check whether an app runs inference locally or merely stores files locally — the distinction matters for sensitive documents.
Do chat-with-PDF apps work offline on a Mac?
Most of the top-ranked apps here work fully offline once set up. NoteAI and TextMatesApp require a one-time model download, typically 2–3 GB, after which indexing and Q&A run with no connectivity. Apps built on Apple Intelligence need supported hardware but no internet for inference. FluidDocs was built specifically for field workers who need answers without a connection.
How reliable are the answers from on-device document chat?
Reliability depends on the model and your source material. Apps that ground answers in your files and provide page-level citations — Quirely, DocuMind, askM — let you verify every claim against the original text. NLP search tools like PDF Search do not generate answers but surface relevant passages accurately. On-device models generally trail frontier cloud models in complex reasoning, so multi-document synthesis may be less precise.