Jotr turns audio and video into work you can actually use:
local transcripts, timestamped review, highlights, notes,
AI summaries, and exports — all on your Mac.
If you've ever worked from recordings—an interview, a podcast episode, a research session, a long meeting—you know what happens after the transcript arrives.
Constantly switching between different apps is exhausting. Jotr cuts the busywork, whether you need careful review or just want to find the usable parts fast.
Most tools end at the moment transcription completes.
Jotr begins there.
A complete workspace from transcription to final output—reviewing, editing, and extracting what matters.
Everything after recording happens in Jotr: import, transcribe locally, review, summarize, and export.
Bring common audio and video files into Jotr and turn each recording into a local project.
A local ASR model creates a time-structured transcript, with Plain Text, SRT, and VTT available from the raw draft.
Edit in Review, replay from timestamps, highlight important text, and add notes where context matters.
Summary Beta uses the reviewed transcript to create a local first-pass overview, outline, and takeaways.
Export reviewed text, subtitles, Markdown, or Word/DOCX, with timestamps, highlights, and notes when needed.
Privacy policies are just promises. We prefer architectural guarantees. Your work is created and processed on your Mac. No account. No cloud workspace. No backend that can access, train on, or sell your project data.
AI makes it faster to work with audio, video, and text. It also makes it easier to hand over the raw material. Most tools upload your files first, then process them somewhere else.
Jotr takes a different path: AI helps you move faster, while your audio, video, transcripts, notes, and summaries stay on your Mac.
Apple Silicon was built for on-device models. You already own a machine that can run local AI; most software just keeps sending the work to remote servers.
Jotr puts that hardware to use, so transcription, review, and summaries happen on your Mac. No need to rent cloud capacity for work your Mac can already handle.
Client calls, research interviews, HR reviews, product plans, and customer conversations are not ordinary files. For this kind of work, local processing is not just a privacy preference.
It is part of compliance, ethics, and professional responsibility. Jotr keeps sensitive material inside your own device and workflow.
Read the full privacy details, or download Jotr and start a Mac-native workflow without moving your work to the cloud.
Choose your workflow and see how Jotr makes it easier.
Someone asks, “Who actually confirmed the budget last Wednesday?” The answer is buried somewhere in a one-hour recording, and nobody wants to scrub through it by hand.
Jotr turns the recording into work you can search, play back, and verify. Search “budget,” click the timestamp, hear the exact sentence, then use AI to draft the summary, action items, and follow-up notes in the same workspace.
Sending minutes stops being “I’ll clean this up later.” It becomes “I’ll export it now.”
One workspace, from recording to delivery. The same local project carries the work from raw recording to finished output.
Import the file, transcribe it locally, and jump from any line back to the original audio.
Edit, highlight, add notes, and ask local AI for the summary or outline you actually need.
Export the right version: Word, Markdown, plain text, SRT, VTT, timestamps, highlights, and notes.
Search the transcript, then click any paragraph to jump straight to the matching audio and review the exact moment in context. As playback moves through the transcript, highlight key passages, add notes, edit the text when needed, and keep everything tied to the original timestamp.
Jotr turns reviewed moments into flexible export formats for most writing, editing, and video workflows: Markdown for Notion and Obsidian, Word documents for sharing or editing, timestamped text for reference, and subtitle files for tools like Final Cut Pro or DaVinci Resolve.
After transcription, Jotr uses local AI on Apple Silicon to turn the full recording into a clear summary you can scan quickly: key points, takeaways, and action items for long meetings, classes, interviews, or research sessions.
Start free local transcription on Mac. No account, no credit card, no upload queue.
