Cross device sync for researchers
Pick up exactly where you left off.
Capture interviews and field notes on your phone and pick the work back up on your laptop, with the same library open in both places.
Notes, attachments, decks, tags, chats and settings all travel
Runs in the background as you write, not on a schedule you manage
Each device still keeps its own local copy, so offline is unaffected
Opt in, so a local only setup stays local
Capture there, finish here
The voice note from the walk home is open on your laptop.
No manual export step
Nothing to email yourself and nothing to copy between machines.
Local first, still
Sync adds a copy in the cloud, it does not take yours away.
More than the text
Attachments, decks, tags, chats and settings travel with the notes.
It runs while you write
No schedule to manage and no button to remember to press.
Off until you turn it on
Sync is opt in, so a local only setup stays exactly that.
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
Memory
The agent remembers what you tell it
Open
Semantic search
Search that works on what you meant
Open
Voice and transcription
Meetings and lectures become searchable text
Open
Web clipper
Save any page from Chrome into a note
Open
Share to Grape
A page from the share sheet becomes a note
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.