Can FileAI chat with multiple research papers at once?

Yes. Upload a folder of papers and ask across all of them — FileAI retrieves the relevant passages from each and tells you which paper every answer came from.

Does it cite the exact source passage?

Yes. Every answer includes numbered citations that open the retrieved passage in the source document, so you can verify a finding before citing it yourself.

Can it extract data into tables?

Yes. Ask FileAI to pull methods, sample sizes, or outcomes across your documents into a structured table, with each value traceable to its source.

Is my unpublished research kept private?

Yes. Files are stored in private, encrypted storage and are not used to train models unless you explicitly opt in, and deletion removes the provider copies.

Use case · Research

Read and compare research papers with AI

Upload papers, reports, and datasets and ask across all of them. FileAI answers with citations to the exact passage, so you can trust what you cite in your own work.

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From a folder of PDFs to answers you can cite

A literature review is mostly retrieval: finding which paper said what, where two studies disagree, and which numbers are actually comparable. Doing that by hand across dozens of PDFs is slow, and summarizing tools that don't show their sources just move the fact-checking somewhere else.

FileAI grounds every answer in the passage it came from. Ask a question across your whole reading pile and get a response you can trace to the sentence — then drop it into your own work with confidence.

Ask in plain English

Questions you could ask on day one

Where do these two studies disagree on methodology?
Summarize the limitations each author acknowledges.
What sample sizes and effect sizes are reported, and in which paper?
Which papers support this claim, and which contradict it?
Extract every dataset used across these reports into a table.
What does the discussion section conclude about causality?

Why teams trust the answers

The same principle behind everything FileAI does: never take the model's word for it.

Citations to the passage

Answers point to the exact sentence in the exact paper — not a vague paraphrase — so what you carry into your own writing is verifiable.

Compare across studies

Ask one question across an entire folder of papers and surface agreements, conflicts, and gaps between sources in a single pass.

No invented findings

When your papers don't answer the question, FileAI tells you — instead of confidently fabricating a result, the worst outcome in research.

Structured extraction

Pull methods, sample sizes, and outcomes into tables you can actually work with, each cell traceable to its source.

Deep mode for synthesis

Deep mode reasons carefully across long, dense documents and keeps running in the background while you do other work.

Unpublished work stays private

Pre-prints, grant drafts, and proprietary data live in private encrypted storage and are not used to train models unless you opt in.

Frequently asked questions

Can FileAI chat with multiple research papers at once?: Yes. Upload a folder of papers and ask across all of them — FileAI retrieves the relevant passages from each and tells you which paper every answer came from.
Does it cite the exact source passage?: Yes. Every answer includes numbered citations that open the retrieved passage in the source document, so you can verify a finding before citing it yourself.
Can it extract data into tables?: Yes. Ask FileAI to pull methods, sample sizes, or outcomes across your documents into a structured table, with each value traceable to its source.
Is my unpublished research kept private?: Yes. Files are stored in private, encrypted storage and are not used to train models unless you explicitly opt in, and deletion removes the provider copies.

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Prefer to read first? Browse the FileAI blog or the frequently asked questions .

See it on your own documents

Start free with one document — no card required. Upload it, ask a question, and open your first citation.

Start free See pricing