Docmind turns your PDFs, videos, web pages and notes into an AI research notebook. Every answer is grounded in your sources with a citation for each claim — and an honest “not found” when the answer isn't there.
One notebook for every format your research lives in
How it works
No prompt engineering, no copy-pasting into chat windows. Add sources once and ask as many questions as you like.
Upload PDFs and images up to 100 MB, paste notes, or drop in a YouTube or web link. Keep each project in its own workspace.
Each source is parsed, split into passages and indexed for meaning and keywords — then summarised with key points, topics and suggested questions.
Ask in plain language. Every claim in the answer links to the exact page or excerpt it came from, so checking takes seconds.
Why Docmind
Generic chatbots sound confident whether or not they're right. Docmind is designed around evidence: find it, show it, and admit when it isn't there.
Inline markers link each sentence to the passage behind it — with page numbers for PDFs — so you can quote with confidence and spot-check in one click.
How citations workNet revenue retention reached 118%, led by expansion in the enterprise tier1 — though the report flags rising support costs as a risk for next year2.
“…net revenue retention closed the year at 118%, driven primarily by seat expansion across enterprise accounts…”
No outside knowledge, no filling gaps. If your sources don't say it, neither does Docmind.
This information is not available in the provided document(s).
No evidence found in 4 sources — no guessing
A summary, key points, topics and suggested questions for every source — before you ask anything.
Founder interview
Summary
A 40-minute conversation on finding product-market fit, pricing experiments and building a remote-first team.
Key topics
Suggested questions
Which pricing experiment worked best?
How did they decide who to hire first?
Semantic and keyword search, fused and reranked, so exact names and figures surface every time.
Semantic search
Finds passages by meaning
Keyword match
Catches exact names & numbers
Fusion
Blends both signals per document
AI reranking
Keeps only the strongest evidence
Toggle sources in or out of a conversation without deleting anything. Focus is one click away.
Context sources
3 of 4 selected
Under the hood
Docmind is a production-grade RAG system, not a wrapper around a chat box. Here's what happens between your question and your answer.
Text from PDFs (with page numbers), images, transcripts and web pages.
Sources are split into overlapping passages sized for precise recall.
Passages are embedded and stored in a Qdrant vector index scoped to your workspace.
Semantic and keyword signals are fused, so exact terms are never missed.
An AI reranker keeps the strongest evidence within a strict context budget.
The model answers only from that evidence and cites every claim.
Use cases
If you've ever lost an afternoon hunting for the one paragraph that proves your point, Docmind is for you.
Read across dozens of papers and lectures without losing track of who said what.
How does each paper define “engagement”?
Pull clauses, obligations and dates out of long agreements with page references.
Which contracts auto-renew, and on what notice?
Turn interview recordings, surveys and competitor pages into evidence-backed insight.
What are the top complaints across these interviews?
Get up to speed on a client's world in an afternoon, not a week.
Summarise the client's stated goals with sources.
Mine talks, courses and articles for the points worth teaching or writing about.
What arguments do these three talks disagree on?
Give everyone one place to ask about policies, docs and past decisions.
How do we handle refunds on annual plans?
Docmind vs. generic AI chat
Pasting a file into a chatbot gets you an answer. Docmind gets you an answer you can defend in a meeting, a paper or a client report.
| Docmind | Generic AI chat |
|---|---|
| Answers only from your material | Mixes in general knowledge |
| A citation on every claim, down to the page | Rarely, and hard to verify |
| Says so when the answer isn't there | Often fills the gap with a guess |
| Searches across all your documents at once | Limited by the context window |
| PDFs, YouTube, web pages & images together | Varies by tool |
| Workspaces with saved conversations | One long chat history |
Pricing
Every plan includes every source type, grounded chat with citations and automatic insights.
For trying Docmind on a single project.
$0forever
Start for freeFor researchers and power users juggling projects.
$12per month
Get ProFor organisations with private data requirements.
Customtailored to your team
Talk to usNeed a detailed breakdown? Compare all plans →
PDFs, images (text is extracted automatically), YouTube videos (via their transcripts), public web pages, and plain text, Markdown, CSV or JSON — uploaded as files or pasted in directly. Files up to 100 MB are supported.
Docmind is built to answer only from the sources in your workspace. Every factual claim is cited back to a numbered source. If your sources don't contain the answer, it tells you so instead of guessing.
Answers include inline markers like [1] and [2]. Each one links to the exact excerpt it came from — including the page number for PDFs — so you can verify any claim in a click.
Yes. Every ready source has a toggle, so you can include or exclude documents from a conversation's context without deleting anything.
Docmind indexes your sources once, then uses hybrid semantic and keyword retrieval with reranking to find the most relevant passages across all of them. That means it scales past context-window limits and stays tied to your material.
Your documents are stored in your workspace and are only used to answer your questions — never to train models. Enterprise teams can self-host Docmind with their own storage and vector database.
Create a workspace, drop in your first document and get a cited answer in under a minute.
Free plan · No credit card required