Local first storage for podcasters
Work with no wifi and no worry.
Grape keeps a back catalogue in a database on your own machine, so on publishing day 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.
You pick where the file sits
Point the database at any folder on your machine, and move it later.
The plane, the tunnel, the cabin
Writing, search, drawing and recording all work with no connection.
Local models if you want them
Run the AI through Ollama or LM Studio and nothing leaves the machine.
Results
Three things that stop being a problem
Feature lists are easy to write and hard to care about. This is what changes for podcasters.
Turn an episode into text you can use
Drop the audio into a note, get a transcript, then ask for the summary and the timestamps worth clipping.
Show up to the interview prepared
Keep guest research in one note and ask for the five questions your notes suggest.
Remember what episode forty said
Search the whole back catalogue by topic instead of scrubbing through audio.
In practice
What that looks like for podcasters
A few moments in a normal week where the app earns its place.
Before recording
Collect the guest research, links and questions in one note you can read from.
Straight after
Drop the audio in, get a transcript, and mark the parts that will make clips.
Publishing day
Ask for show notes built from the transcript and export them.
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
Get show notes out of it.
Guest research, running orders, recordings and transcripts in one library, so an episode becomes show notes, clips and the prep for next week without starting from nothing.