Cuts, Silence Removal & Filler Words
Describe the cut and the agent makes it — silences, filler words, and repeated takes disappear without you ever scrubbing a timeline.
Editing by Describing
In Valmera you cut a video by saying what should go. Because the system has a word-level transcript, silence detection, and shot detection for your footage, an instruction like "cut everything before I say welcome back" resolves to an exact point in the video — you never hunt for a timestamp, though you can give one if you have it.
Any range works: a spoken phrase, a topic ("the tangent about airports"), a time range ("12:40 to 13:05"), or whole categories of content like silences and filler words. After the cut you get a preview, and follow-up messages refine it — the same flow described in Getting Started.
The Cleanup Toolkit
Cut or Trim Any Range
Remove any section by describing it — by phrase, by topic, or by timestamp. Trim a rambling intro, drop a failed demo, keep only the announcement.
Automatic Silence Removal
Detected silences are cut in one pass. Tell the agent how aggressive to be — from "just the dead air" to "make it feel fast."
Filler-Word Removal
Ums, uhs, and verbal tics are found in the word-level transcript and cut individually, leaving the sentence around them intact.
Repeated-Take Cleanup
Record a line as many times as you want. Ask the agent to keep the best take and it cuts the failed attempts, leaving one clean version.
Word-Boundary Snapping
Every cut snaps to word boundaries. Speech is never clipped mid-word, so even heavy cleanup sounds natural.
Restore Anything
Changed your mind? Ask for a cut range back. Your original file is untouched, so nothing is ever truly gone.
Record Retakes Freely
The repeated-take cleanup changes how you record. Instead of stopping and restarting your camera every time you flub a line, keep rolling: say the line again — three times, five times, as many as it takes — and upload the single long file. Then ask the agent to keep the best take of each attempt. It reads the transcript, spots the repeats, and assembles the clean version.
This is where Valmera's honesty layer earns its keep: the agent's reply is checked against the edits it actually made, so when it says "kept the third take of the intro, cut the other two," that is what happened in the video — it cannot claim a cut it did not make.
Example Requests
"Remove all the silences and filler words"
The standard cleanup pass — dead air and ums gone in one request.
"Cut everything before I say welcome back"
Cuts resolve against the transcript, so a spoken phrase is a precise edit point.
"I did the intro four times — keep the best take"
The agent finds the repeated attempts and keeps one clean version.
"Tighten the whole video, but leave the pause at 12:40 — it lands the joke"
Mix global cleanup with specific exceptions in a single instruction.
"Bring back the part about pricing you cut earlier"
Cuts are reversible — restore any range whenever you change your mind.
Your Original Footage Is Safe
Cuts in Valmera are non-destructive. Previews render from a fast proxy so you can iterate quickly, but the final export always renders from your original full-quality file — no generation loss from repeated edits, and any cut can be restored later.
Cleanup pairs naturally with the rest of the toolkit: add word-accurate captions to the tightened cut, reframe it for vertical, or follow the workflow in turning long videos into clips. Each edit charges credits proportional to the work involved — see plans and pricing.
Frequently Asked Questions
How does Valmera know where to cut?
When you upload a video, Valmera builds a word-level transcript (Deepgram nova-3 with a whisper fallback), detects silences, detects shot changes, and generates vision descriptions of the shots. The agent uses all of that to resolve an instruction like “cut the part where I fumble the intro” to exact timestamps.
Will silence removal make my video sound choppy?
Every cut snaps to word boundaries, so speech is never clipped mid-word. You also control how aggressive the cleanup is — ask for “tighten it a lot” or “only remove pauses longer than two seconds,” and send a follow-up message if the pacing feels too tight.
Can Valmera remove filler words like um and uh?
Yes. Because the transcript is word-level, the agent can find and cut individual filler words while snapping each cut to word boundaries, so the surrounding speech stays natural.
I recorded the same line five times. Can Valmera pick the best take?
Yes. Record as many retakes as you want in one continuous file, then ask the agent to keep the best take of each repeated section. It reads the transcript, spots the repeated attempts, and keeps one clean version.
Can I undo a cut if I change my mind?
Yes. Edits are non-destructive — your original file is never modified. Ask the agent to restore a range (“bring back the story about the launch”) and it returns to the cut. The final export always renders from the original full-quality file.
How long can the video be?
The main upload can be up to 2GB in MP4, MOV, MKV, WebM, and similar formats. Long videos are supported — the whole file is transcribed and indexed before editing starts, so longer uploads take longer to analyze, with progress visible while it runs.