Free ChatPDF alternative

A free ChatPDF that never uploads your documents An on-device ChatPDF, PDF.ai & AskYourPDF alternative.

Feyard RAG Search reads your PDFs in your browser — multi-turn chat, page-level citations, instant extractive summaries and saved chat history, without uploading a single page. 5 documents free (20 on Pro), no account.

Detectando GPU…
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Chatting with a PDF means trusting a server with the document. Feyard runs the entire retrieval pipeline — chunking, embedding, search and the answer — in your browser, so a contract, thesis or medical file stays on the device while you still get cited, page-grounded answers.

Comparison reflects publicly documented free-tier behaviour as of 22 October 2026. Confirm specifics against each vendor's own page before making a decision.

Your documents never leave the device

Indexing and question-answering run on WebAssembly / WebGPU locally. There is no upload endpoint, so confidential PDFs are never transmitted or retained by a third party.

Answers cite the exact pages

Every answer links back to the source passage and page number, so you can verify a claim instead of trusting a black box.

Chat across many documents

Drop in a whole folder of PDFs and ask one question across all of them — the engine retrieves from the combined corpus, free up to 5 documents (20 on Pro).

Follow-up questions that actually remember

Short follow-ups like “why?” or “what about the second one?” are rewritten into a full search query from the previous turn, and the last two turns are passed to the local model. Chats and their citations are saved in your browser, so reloading the page does not wipe your work.

Instant summary and key points, no model download

A one-click document brief is built by scoring and extracting the document's own sentences. It appears immediately, adds no hallucinated claims, and needs neither a 483 MB language model nor a server round-trip.

No account, no server retention

Open the page and start asking — there is no sign-up. Local files are never uploaded. Chat history lives in your browser's IndexedDB, not on our servers; clearing site data removes it. Only a public URL you explicitly paste is fetched through a hardened proxy, and its text is never logged or stored.

Side by side

Feyard vs ChatPDF vs PDF.ai vs AskYourPDF

Every competitor below sends your files to a server and charges for the round trip. The differences that matter are where the data is processed and what the free tier is allowed to be used for.

Feyard compared with ChatPDF, PDF.ai, AskYourPDF for rag search
CapabilityFeyardChatPDFPDF.aiAskYourPDF
Where documents are processedIn your browser — never uploadedCloud (upload required)Cloud (upload required)Cloud (upload required)
Upload requiredNoYesYesYes
Answers cite page numbersYes — source passages + pageYesYesLimited
Chat across multiple docsYes (5 free / 20 Pro)Yes (paid tiers)Yes (paid tiers)Yes (paid tiers)
Free document allowance5 documentsLimited freeLimited freeLimited free
Account requiredNoYesYesYes
Multi-turn follow-up questionsYes — query rewriting + last 2 turnsYesYesLimited
Chat history survives a reloadYes — saved locally, no accountYes (account required)Yes (account required)Yes (account required)
Instant summary & key pointsYes — extractive, zero model downloadYes (cloud model)Yes (cloud model)Yes (cloud model)
Import a web page by URLYes — hardened proxy, nothing storedLimitedYesYes
Scanned PDF OCRYes — on-device, 6 languagesLimitedLimitedLimited
Retrieval pipelineOpen: BM25 + vector RRF, multi-query, MMRUndisclosed cloud pipelineUndisclosed cloud pipelineUndisclosed cloud pipeline
Source shown in original contextYes — matched chunk highlighted among neighboursPassage onlyPassage onlyPassage only
Price$0SubscriptionSubscriptionSubscription
FAQ

RAG Search alternatives FAQ

If you want to chat with a PDF without uploading it to a server, use Feyard RAG Search on this page: it runs entirely in your browser, cites the exact pages it used, and is free for up to 5 documents with no account.

Looking for something specific? The dedicated product page covers the engine, limits and batch export in detail — open the rag search.