Screen recording with transcripts, automatically
A screen recording with transcripts turns a video nobody wants to scrub through into text anyone can skim in ten seconds. Klipr generates that transcript automatically, for every recording, with no extra step.
TL;DR: Record your screen with one hotkey. Klipr transcribes it using OpenAI's Whisper and diarization models, so the share link opens a viewer page with the video and a readable, speaker-aware transcript side by side.
Why the transcript matters more than the video
Most people don't want to watch a two-minute screen recording to find the fifteen seconds that matter. A transcript changes that: it's searchable, skimmable, and quotable. Klipr's viewer page puts the transcript alongside the recording, so someone can read what was said, click a line, and jump the video to that exact moment instead of dragging a scrub bar and guessing.
This is also what makes a recording usable by people who can't or don't want to play audio right where they are: on a train, in an open office, on a phone with the sound off. The transcript makes the recording legible even with the video paused.
How the transcript gets made
Klipr generates transcripts through OpenAI's Whisper and diarization-capable models. For a single-speaker recording (narrating a walkthrough, explaining a bug), that means accurate text with timestamps. For a recording with multiple people, such as a captured meeting, the transcript is speaker-aware: Klipr keeps a per-speaker name and role map alongside timestamped segments, so the transcript reads like a real conversation transcript, not an undifferentiated wall of text.
Meeting recordings get calendar context too
Record a Google Meet, Zoom, Teams, or Webex call with the same one hotkey, and Klipr attaches the calendar context automatically: meeting title, start and end time, attendees, and agenda, alongside the diarized transcript. That means a meeting recording arrives already labeled with who was in it and what it was about, without anyone typing meeting notes by hand.
Search inside your recordings, not just their filenames
Because every recording is transcribed, Klipr indexes the text for semantic search across your entire library. Trying to find the recording where a teammate mentioned a specific decision or error message works even if you don't remember the file name or the date, since search finds it by what was actually said.
Comments land on the transcript, not just the timeline
Viewers can leave comments pinned to a specific timestamp directly from the viewer page, and because the transcript runs alongside the video, that comment sits next to the actual line being discussed. That's a meaningfully different review experience than a generic comment thread underneath a video player with no connection to what's being said at that moment.
Your video and audio never leave your storage
The transcript itself is stored on Klipr's servers so it can be searched and displayed, but the source video and audio upload straight to your own Google Drive or S3-compatible bucket and stay there. Klipr never holds the recording bytes. See the full model on the how your storage works page.
Transcripts are also what AI agents read
Klipr is a Model Context Protocol (MCP) server. When an AI coding agent like Claude Code or Cursor reads a klip link, it's the transcript, keyframes, and origin URL it gets as context, which is why a recording with a good transcript is more useful to an agent than a raw video file it has no way to watch.
Get started
Download Klipr for macOS or Windows and your next screen recording will have a transcript automatically, no setup required. It's free for personal capture; AI features run on a 30-day trial and then use your own OpenAI key.