Local Adobe Premiere Sync Assistance

How to find likely clap or slate candidates in Premiere Pro

Analyze selected production audio for likely clap or slate peaks, review every candidate, and add only approved source markers for camera-sync preparation.

MarkerBuddy 1.5.1 Premiere 25.6+ macOS and Windows

For the fundamentals behind this workflow, start with Adobe Premiere Pro markers: the complete guide.

MarkerBuddy Find Claps review showing ranked audio transients, one approved peak, color controls, and the approval action
Find Claps keeps ranked peaks, color choice, and approvals together for quick human review.

Select the exact audio clips to analyze

Select one or more audio clip items in the active timeline. Video items and unselected audio are ignored. Selected audio inside visible nested sequences is supported, including trimmed, retimed, and reversed clips.

Analysis reads only the visible selected source ranges. A shared source can appear in more than one timeline occurrence, so the final review explains that source markers may be visible elsewhere.

Analyze clap-like transients locally and offline

Choose Conservative, Balanced, or More candidates. Analysis stays on this computer and checks only the selected audio ranges. Temporary analysis files are removed when the search finishes.

Audio is not uploaded. The candidate score ranks clap-like transients from 0 to 100; it is not a probability.

Review false-match risks before adding markers

Clean production audio can work extremely well, but music, applause, action scenes, clipped peaks, and heavily compressed camera audio can produce false matches. MarkerBuddy presents every result as a likely clap/slate candidate for review.

Only the strongest high-scoring candidate per source is preselected. Compare each checked row with picture and production sound, and choose one of MarkerBuddy's eight marker colors before applying.

Approved rows become point clip markers named Clap Marker. Each comment begins with Clap @ and includes the source timecode. The candidate review remains the place for camera-sync judgment and any analysis warnings.

Workflow

A practical four-step process

  1. 01

    Select production audio

    Select only the camera or recorder audio clip items whose visible ranges should be analyzed.

  2. 02

    Choose sensitivity, color, and analyze

    Pick Conservative, Balanced, or More candidates, choose the Clap Marker color, and run the completely local analysis.

  3. 03

    Review every likely candidate

    Compare each ranked transient with picture and sound, clearing music, applause, action, clipping, and compression false matches.

  4. 04

    Add approved source markers

    Write only the checked likely candidates to the underlying audio sources, then verify them before syncing cameras.

Before delivery

Review likely candidates before camera sync

Music, applause, action, clipping, and heavy compression can resemble a clap. MarkerBuddy ranks likely candidates and preselects only a strong source winner; compare each selected row with picture and production sound before applying markers or syncing cameras.

FAQ

Questions about Find Claps

What should I verify before applying a Clap Marker?

Compare the selected transient with picture and production sound, especially when the source contains music, applause, action, clipping, or heavy compression.

Does audio leave the computer?

No. Analysis stays on this computer, and temporary analysis files are removed when the search finishes.

Can it analyze selected audio inside a nested sequence?

Yes. MarkerBuddy follows the visible nested timing and places approved markers at the matching source positions.

Why did music or applause appear as a candidate?

Short musical hits, applause, action, clipping, and compressed audio can share the same transient features as a clap, so false matches are unavoidable.

MarkerBuddy for Premiere

How to find likely clap or slate candidates in Premiere

Find and review likely clap or slate candidates in selected Premiere audio, including nested sequences, with completely local analysis and review-first candidate scoring.

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