Standups, user interviews and incident reviews, captured locally
A recorder that keeps the raw material on your machine and hands the transcript to whichever AI your team already pays for. No bot in your customer calls, no transcript sitting in another vendor's database.
Why engineering and product teams turn cloud notetakers off
Not privacy theatre, but concrete problems that show up in a week of meetings.
A bot in the customer call
Discovery calls are the worst place for an unexplained attendee. Some customers ask you to remove it; others quietly say less. JesRecap records the audio your computer plays, so the participant list stays exactly as your customer expects.
Your roadmap on someone else's stack
Incident timelines, unreleased features, security discussions and customer names all end up in a meeting transcript. Cloud notetakers make that another SaaS vendor to review, and another breach that would be your incident too.
Locked into one AI
Most assistants bundle a fixed model and a fixed prompt. Teams that have already standardised on a particular AI end up paying twice and getting summaries in someone else's format.
How JesRecap fits the week
Standups and planning
Record the call, get a transcript locally after you press Stop, and pull out decisions afterwards.
User interviews
Dual-track capture keeps your questions and the participant's answers on separate WAV files, so you can check either side on its own before you quote it. Nothing joins the call to make the participant self-conscious.
Incident reviews
During an incident nobody has capacity to take minutes. Record the bridge, then use the transcript to build the timeline afterwards, and keep it on the machine rather than in a third-party tool.
Meeting actions, in your own AI
One click copies a summary, action-items or custom prompt with the transcript included, to paste into whichever AI the team uses. There is no AI in the app to write the note, and it never sends the transcript anywhere itself.
Formats developers can use
Markdown for the wiki or a pull-request description, plain text for a paste, a JSON archive if you want to script something, SRT/VTT for a recorded demo, and the WAV audio: mixed, microphone-only or system-audio-only.
Local searchable history
A searchable library of past meetings on disk, backed by WAV files and SQLite. Both tracks are retained, so you can retranscribe an old interview later instead of losing the recording to a summary.
What stays local
Audio, transcripts and metadata stay on the device. Transcription is a local speech model running on your own CPU or GPU, downloaded once from models.jesrecap.com and reused offline. Speaker names are added by hand. The only network traffic is that download, license activation and periodic license checks, and update checks. No accounts, no telemetry.
Worth being explicit: there are no integrations, no calendar sync and no team workspace. JesRecap is a local recorder with good exports, and the boundary is the feature.
Record with consent
Say at the top of the call that you are recording, especially with customers and research participants, and check whether your own policy requires written consent for interviews you plan to quote. Local capture means no one sees a bot, which makes announcing it your responsibility rather than the tool's.
Questions
Which meeting platforms does it work with?
All of them, because it does not integrate with any. JesRecap records the audio your computer already plays via Core Audio process taps on macOS or WASAPI loopback on Windows, so Zoom, Teams, Meet, Webex, Slack huddles or a browser tab all work the same way.
How do summaries work if there is no cloud AI?
Meeting actions copy a ready-made prompt with the transcript included to your clipboard, and you paste it into whichever AI your team uses. JesRecap does not write the note itself, so model choice, cost and data policy stay on your side.
Is there an API or a Slack integration?
No. There are no integrations, plugins or calendar sync. What you get instead are exports: Markdown, plain text, a JSON archive, SRT/VTT captions and the WAV audio.
Does it work offline?
Yes, between license checks. After the one-time speech model download, recording and transcription run with no network. A paid license needs a successful check at least every 30 days.
What does it cost per seat?
From €34.95 once per person, with no subscription. Volume licensing for a larger team is available on request via the enterprise page.
Related use cases
Same architecture, different room. Or see all industries.
Own the recording, choose the AI
macOS 14.2+ and Windows 10/11. From €34.95 once, no subscription, with a full 48-hour free trial.