Local first storage for researchers
Work with no wifi and no worry.
Grape keeps a literature review in a database on your own machine, so in the middle of writing up a dead connection changes nothing about what you can open.
Writing, reading, organising, drawing and recording all work offline
You pick where the database file sits
Export any note, or the whole library, as Markdown, HTML or PDF
Run the AI locally through Ollama or LM Studio if you prefer
No account to start
Download, open, write. Accounts only matter for the paid plans.
Your choice of AI provider
OpenAI, Anthropic, Google, Groq, DeepSeek, OpenRouter, Ollama and more.
Export whenever you want
Markdown, HTML or PDF, one note at a time or the whole library.
Results
Three things that stop being a problem
Feature lists are easy to write and hard to care about. This is what changes for researchers.
Stop rereading papers you already annotated
Ask what your notes say about a method and get the answer with the note it came from, ready to cite.
Turn interviews into text the same day
Record the session, get a transcript in the note, and code it while it is still fresh.
See how the threads connect
Link notes to each other and use the graph view to spot the argument forming across a year of reading.
In practice
What that looks like for researchers
A few moments in a normal week where the app earns its place.
Reading a new paper
Drop the PDF into a note, write alongside it, and tag it into the theme it belongs to.
Fieldwork day
Record on the phone, add photos, and let it all sync back to the desk copy.
Writing up
Ask for every note that touches a concept, then pull the quotes into the draft.
The rest of the app
What Else Grape Does
Every part of the app is built around the same idea: keep what you write, and hand it back when you need it.
AI Agent
Chat that reads your library and can act on it
Open
Semantic search
Search that works on what you meant
Open
Voice and transcription
Meetings and lectures become searchable text
Open
Flashcards
Decks built from the notes you wrote
Open
Quizzes
Test yourself before it counts
Open
Mind maps
One note laid out as a map
Open
Ask what you already read.
Papers, interviews, field notes and half formed arguments in one local library you can question in plain language, months after you filed them.