Voice recording and transcription for developers
Say it out loud. Keep it in writing.
Record debugging sessions and design discussions straight into a note and Grape turns them into text you can search, quote and question, usually before you are back at your desk.
Record inside the editor without opening a second app
Drag in audio you recorded somewhere else and transcribe that too
The transcript lands in the note, searchable straight away
Ask the agent for the decisions and follow ups in the transcript
Capture on the move
Talk into your phone on the walk back and read it at your desk.
Transcript and notes together
Your own scribbles sit above the transcript, in the same note.
Searchable the moment it lands
An hour of audio becomes text you can find six months later.
The recorder is in the note
Hit record where you are already writing, with no second app open.
Audio from anywhere else
Drop in a recording you made elsewhere and it gets the same transcript.
Ask the transcript questions
Pull the decisions and the follow ups out of an hour of talking.
Results
Three things that stop being a problem
Feature lists are easy to write and hard to care about. This is what changes for developers.
Stop solving the same bug twice
Describe the symptom in search and get the note where you already worked it out.
Keep decisions where you can defend them
Ask what you decided about a service and get the note, the date and the reasoning.
Point the AI at your own stack
Bring your own key, or run a local model through Ollama, and keep the workspace on disk.
In practice
What that looks like for developers
A few moments in a normal week where the app earns its place.
Debugging
Write the symptom, the theory and the fix in one note, with the log you kept attached.
Architecture review
Record the conversation and keep the decision log next to the diagram.
New project
Keep the setup steps in a runbook that actually gets found again.
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
Web clipper
Save any page from Chrome into a note
Open
Share to Grape
A page from the share sheet becomes a note
Open
Flashcards
Decks built from the notes you wrote
Open
Find it next time it breaks.
Runbooks, architecture decisions and the fix you worked out at midnight, in a local library you can search by meaning and keep offline.