Every editor who works with long recordings has experienced the same problem: you open an NLE with a four-hour file and a blank timeline, and the first task is not cutting — it is figuring out what is in the recording. Where are the highlights? Where are the problems? What is the structure?
Automatic audio markers solve this problem by analyzing the recording before the editing session begins. Instead of starting with a blank timeline, editors start with a timeline that already shows the structure — highlights, risks, chapter breaks, cutter instructions — all placed at the exact timestamps where they occur.
This article explains how automatic audio markers work, what kinds of detections they make, and how they integrate with the editing tools editors already use. For stream editors handling long VODs, see how stream editors save time with CutCue.
What Are Automatic Audio Markers?
An audio marker in the context of video editing is a flag placed at a specific timestamp in a timeline. Editors use them manually all the time — to mark a good take, note a problem, identify a chapter break, or flag a moment for review.
Automatic audio markers are the same thing, but placed by automated analysis rather than by the editor manually. The analysis processes the audio track of a recording, applies several different detection models to the content, and generates a set of markers that correspond to specific findings — each one placed at the exact timestamp where the detection occurred.
The resulting marker file is exported in a standard format and imported into the editing project. From the editor’s perspective, it looks like a set of colored markers in the timeline, each labeled with the type of detection.
What Automatic Audio Markers Detect
Different types of analysis produce different categories of markers. CutCue generates markers across several detection categories:
Highlight and intensity markers. The analysis identifies moments in the audio where intensity is significantly elevated — reactions, emotional peaks, conversational climaxes. These are marked as potential highlights. They are suggestions, not guarantees — the editor’s judgment about whether a moment is worth using remains essential.
Clip and hook markers. Beyond general intensity, the analysis tags emotionally specific moments — funny exchanges, shocking statements, emotional passages — that are candidates for short-form clips, YouTube Shorts, or social media content. These are labeled by type so editors can quickly locate the category of moment they are looking for.
Chapter markers. The analysis identifies significant topic transitions in speech and places chapter markers at the natural break points. This gives the editor an immediate overview of the recording’s structure without scrubbing through it.
Demonetization risk markers. Spoken words and phrases that match known ad-restricted terms on YouTube are flagged with timestamps and risk labels. This allows editors to address these moments before upload rather than discovering revenue loss after publishing.
→ See how CutCue’s demonetization checker works
Custom keyword markers. Any word or phrase defined by the user — brand names, sponsor references, competitor mentions, cutter instruction phrases, or project-specific terms — is detected and marked throughout the recording. Each occurrence is timestamped and labeled with the keyword that triggered it.
Stream alert markers. For stream recordings, editors can upload audio samples of the donation sound, subscriber alert, or other notification sounds used by the streamer. CutCue matches these sounds throughout the full recording and places a marker at each occurrence.
How Markers Are Generated
The process from audio file to imported markers involves four steps:
Step 1 — Export audio. The audio track is exported from the video project or recording software. All standard audio formats are supported — MP3, WAV, AAC, M4A, FLAC, and others.
Step 2 — Upload and configure. The audio file is uploaded to CutCue. If custom keywords or stream alert samples are relevant to this project, they are set up at this point. No technical configuration is required beyond defining the terms and uploading samples.
Step 3 — Analysis runs in the background. CutCue processes the file. For most recordings, analysis takes a few minutes regardless of the length of the original file. The editor can work on other tasks while the analysis runs.
Step 4 — Import markers. The analysis produces a marker file in FCPXML format (for Final Cut Pro) or EDL format (for Premiere Pro and DaVinci Resolve). This file is imported into the editing project. Markers appear in the timeline at their exact timestamps, labeled by type and color-coded for quick navigation.
What the Timeline Looks Like After Import
Once the marker file is imported, the editor’s timeline contains a map of the entire recording. This is the core advantage: instead of navigating an unknown recording sequentially, the editor navigates by marker type.
Looking for highlights to build a clip compilation? Filter to highlight markers and jump between them. Reviewing the demonetization flags before upload? Navigate to each risk marker and make a decision. Building chapter structure? The chapter markers are already placed — review them, adjust if needed, and export.
The editor still makes every creative decision. The markers do not make the edit; they make the edit significantly faster by removing the discovery phase from the process.
Multi-Language Support
CutCue’s audio analysis currently supports transcription and detection in multiple languages, including English, German, Spanish, French, Portuguese, Italian, Dutch, Japanese, Russian, and Hindi. Custom keywords work across all supported languages.
This makes automatic audio markers useful for editors working with multilingual content or for agencies managing creators who produce content in different languages.
Getting Started
CutCue plans start at €29 per month. Every plan includes transcription, chapter detection, subtitles in the original language, and the demonetization check. Highlight detection and custom keywords are available from the Creator plan (€79/month) upward.
Markers are compatible with Adobe Premiere Pro, DaVinci Resolve, and Final Cut Pro.
