From audio file to markers — everything you need.

1.1 Create your account

All prices plus local VAT. Compare all plans →

1.2 Your first project in 4 steps

1. Export your audio from your recording.
2. Upload to CutCue at app.cutcue.io/upload (max. 2 GB).
3. CutCue analyzes in the background — keep working.
4. Import markers into your NLE and start cutting.

DaVinci Resolve

Right-click the clip in the Media Pool → Audio → Export Audio. Recommended: MP3 at 192 kbps or higher.

Premiere Pro

File → Export → Media → set Format to MP3, then enable Audio Only (or export with video disabled).

Final Cut Pro

File → Share → Export File → choose Audio Only.

Convert with ffmpeg (advanced)

# Remux MKV to MP4 (no quality loss):
ffmpeg -i stream.mkv -c copy stream.mp4

# Extract audio as MP3:
ffmpeg -i stream.mp4 -vn -acodec mp3 -q:a 2 audio.mp3

Supported formats

MP3, WAV, FLAC, AAC/M4A, OGG, Opus, PCM. Max. file size: 2 GB.

Pro tip: A good audio bitrate (192 kbps or higher for MP3) helps CutCue's analysis produce more accurate results. Clear speech without heavy background noise makes the biggest difference.

3.1 How to upload

• Go to app.cutcue.io/upload
• Drag and drop your audio file or click to browse
• Select which features to run (highlights, demonetization check, custom keywords, etc.)
• Click "Analyze" — processing runs in the background

3.2 Credits

• 1 credit = 1 minute of audio
• A 4-hour stream uses approximately 240 credits
• A 6-hour stream uses approximately 360 credits
• An estimated credit amount is shown before you confirm; the actual amount is calculated when processing completes.

4.1 Marker types

• Highlight markers — Reactions, peaks, and emotional moments automatically detected from audio intensity patterns. Suggestions only — the final call is always yours.
• Chapter markers — The recording divided into logical sections based on content changes.
• Highlight & Hook markers — Moments tagged as funny, shocking, emotional, or quotable — for Shorts, Reels, and TikToks.
• Demonetization flags — Known risk terms for YouTube (EN/DE) timestamped before upload. ¹
• Custom keyword markers — Every occurrence of your defined words or phrases.
• Cutter instruction markers — Every "cut this out" or "leave this in" found in the recording.
• Stream event markers — Donations, subs, raids — detected from your uploaded alert sounds. (Studio plan)

Demonetization checks identify known risk terms based on publicly available guidelines. No automated system can guarantee compliance — YouTube's policies change regularly.

What are Custom Highlighters?

A Custom Highlighter is a word or phrase you add in the app. CutCue then watches for it in every recording and marks it automatically wherever it appears. Add your phrase or words and set them to active — they will be detected on the next upload you process.

Examples

• Cutter codes: If the streamer says "editor, cut this out" → add that phrase; it gets flagged automatically on the next run
• Brand mentions: Competitor names, sponsor names, or restricted terms
• Call-outs: e.g. to detect phrases like "calling" or "answering"
• Topic transitions: "Let's switch to..." or "Next game"

Where do I manage Custom Highlighters?

Create and manage them in the app: app.cutcue.io/custom-highlighters

Available on Creator and Studio plans. The page is only accessible if your active plan includes Custom Highlighters.

For video editing

• Premiere Pro: File → Import → select the XML file → markers appear in your timeline
• DaVinci Resolve: File → Import Timeline → select the XML or EDL file
• Final Cut Pro: File → Import → XML → select the FCPXML file

For audio/podcast editing

Subtitles

SRT and VTT files are generated automatically in all supported languages. Drop them into your NLE or upload to YouTube's subtitle manager.

Upload failed

• Check file size: maximum 2 GB
• Supported formats: MP3, WAV, FLAC, AAC/M4A, OGG, Opus, PCM
• Try a different browser or clear your cache
• Check your internet connection

Analysis is taking longer than expected

• Analysis runs in the background — typical stream recordings take a few minutes
• Check your History (app.cutcue.io/history) — status and details for all your uploads are there
• If processing exceeds 30 minutes, contact contact@cutcue.io

Markers seem inaccurate

• Highlight detection is based on audio intensity patterns — it makes suggestions, not decisions
• For better accuracy: use a good audio bitrate (192 kbps or higher for MP3) and ensure clear speech