Searchable transcript
Find any word, joke, name, or callsign. Word-level timestamps via Deepgram or local Whisper.
Paste a Twitch or YouTube VOD. Get a searchable transcript synced to the timeline, AI suggestions for moments worth reviewing, and clean cuts that hand off to Final Cut, DaVinci, Premiere, or CapCut.

A walkthrough of what happens between importing a multi-hour VOD and exporting cuts to your editor.
Every stream has funny reactions, clutch plays, mistakes, chat moments, story beats. Finding them usually means rewatching the VOD or hoping someone remembered the timestamp.
The discovery and rough-cut work happens in ClipEZ. The final edit still happens in whatever NLE you already use.
Paste a Twitch or YouTube URL, or open a local recording — MP4, MOV, MKV, or raw OBS captures.
Transcribe with managed or local Whisper, detect chapters, surface AI-suggested moments worth reviewing.
Search the transcript like text, click any line to jump on the timeline, take or ignore the AI picks.
Mark cuts from text or timeline, then export MP4 or hand off to DaVinci, Premiere, Final Cut, CapCut, YouTube.
The pieces that make a multi-hour stream or podcast feel like something you can actually work through.
Find any word, joke, name, or callsign. Word-level timestamps via Deepgram or local Whisper.
Click any line — transcript, highlight, chapter — to jump to the exact frame.
Select transcript lines or timeline ranges. Trim by sentence or by frame.
Optional layer: GPT ranks transcript-derived moments worth reviewing. Keep, tweak, or ignore.
MP4, FCPXML, CapCut JSON, SRT, CSV, YouTube chapters — finish in Final Cut, DaVinci, Premiere, or CapCut.
Managed Deepgram + GPT for speed, or local Whisper the app installs for you. Toggle per project.
Search the transcript, jump to any line on the timeline, take the AI suggestions you like and ignore the rest — without rewatching the whole VOD.
Built for the streamer who edits their own clips between streams.
Use the searchable transcript and synced timeline to find the right beats in a multi-hour interview or solo upload, then hand a clean FCPXML to your editor.
Same workspace, different content shape — works on any long video.
Open the project, mark candidate cuts on a searchable timeline, hand off the FCPXML or CapCut JSON — your NLE opens with the ranges already set.
The discovery step belongs upstream of your real editor.
ClipEZ is the review and rough-cut step that comes before your editor. Once you've picked the moments worth keeping, hand them off in whatever format your editor expects.
The managed path uses Deepgram and is what we recommend for everyday work — better quality, no setup. A local Whisper option exists for offline or privacy-sensitive projects, with lower quality.
ClipEZ syncs the lightweight stuff — transcripts, highlights, project metadata, about 100 KB per project — so you can browse your work from any device. The source video never leaves the machine that processed it.
Most AI clip tools auto-cut the video and call it done. ClipEZ gives you the workspace to review the stream — searchable transcript, synced timeline, AI suggestions you can take or ignore.
We'll add real quotes once streamers have used it for a while. Until then, try ClipEZ and tell us what worked.
No. ClipEZ is the review and rough-cut step before your editor. Final editing happens in DaVinci Resolve, Final Cut, Adobe Premiere, CapCut — whichever you already use.
Paste a Twitch or YouTube VOD. Get a searchable transcript, a synced timeline, and AI suggestions for moments worth reviewing. Mark cuts and hand off to your editor. Predictable monthly tiers with one-time top-ups for heavy projects.
No spam. Just ClipEZ updates and early access.