HELP
From audio file to markers — everything you need.
Set up CutCue, prepare your audio, understand your results, and import markers directly into your NLE.
Getting started
Getting Started
1.1 Create your account
Sign up at app.cutcue.io/signup — registration is open.
Once registered:
- Go to app.cutcue.io and sign in
- Choose your plan: Starter (€29/mo) · Creator (€79/mo) · Studio (€189/mo)
- Confirm your email address
All prices plus local VAT. Compare all plans →
1.2 Your first project in 4 steps
- Export your audio from your recording or import directly from Twitch (Creator & Studio).
- Upload to CutCue at app.cutcue.io/upload (max. 2 GB), or choose a Twitch VOD if your account is linked.
- CutCue analyzes in the background — keep working.
- Check the analysis, export your markers, then import them into your NLE and start cutting.
To enable Twitch import, link your Twitch account in app.cutcue.io/account : scroll to Connected Accounts and click Connect Another Account.
Step 1
Exporting audio from your NLE
CutCue needs an audio file from your recording. Export it from your editor — here’s how.
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).
Vegas Pro
File → Render As → select MP3 Audio as format → click Render.
Preparing your file
Preparing Your Audio
CutCue works with audio files, not video. This keeps file sizes small and processing fast.
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.
Upload & processing
Uploading & Processing
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.
Results
Understanding Your Results
4.1 Marker types
After analysis, markers are available as downloads grouped by bundle. Each bundle is its own export file with the markers that belong to that category.
- Chapters — Short headlines and summaries so editors immediately understand what is happening, quickly search for specific moments, and navigate the timeline faster.
- Global Highlighters — Words and phrases that are known to potentially cause demonetization on YouTube, TikTok, or Instagram. ¹
- Custom Highlighters — Words or phrases defined by you, such as “Maik, cut that out”, and marked everywhere they appear.
- Fingerprints — Markers for repeating audio samples, such as a donation sound.
- Peak Moments — Moments with high chat activity plus a short explanation of what likely caused the spike, so you can improve future content.
Demonetization checks identify known risk terms based on publicly available guidelines. No automated system can guarantee compliance — platform policies change regularly.
4.2 What's available on each plan
| Feature | Starter | Creator | Studio |
|---|---|---|---|
| Transcript | ✓ | ✓ | ✓ |
| Chapter detection | ✓ | ✓ | ✓ |
| Subtitles (original) | ✓ | ✓ | ✓ |
| Demonetization check ¹ | ✓ | ✓ | ✓ |
| Highlight markers | — | ✓ | ✓ |
| Highlight & Hook detection | — | ✓ | ✓ |
| Custom Highlighters | — | 10 | Expanded (see plans) |
| Priority processing | — | ✓ | ✓ |
| Twitch VOD import | — | ✓ | ✓ |
| Chat peak moments (Twitch) | — | ✓ | ✓ |
| Alert sound fingerprinting | — | — | ✓ |
¹ CutCue focuses on risk terms commonly relevant to YouTube, Instagram, and TikTok workflows in English and German. Support for additional languages is in development.
Custom detection
Custom Highlighters
What are Custom Highlighters?
A Custom Highlighter is a word or phrase you add in the app. CutCue watches for it and turns detected phrases into reviewable timestamped matches where found. Add your phrase or words and set them to active — they apply 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.
Studio
Alert sound fingerprinting
Upload your donation, sub, and raid alert audio files once — CutCue can fingerprint those sounds and mark matching segments for review on future recordings.
How it works
- Go to app.cutcue.io/fingerprints and upload each of your alert sounds (one file per event type).
- When you upload a recording for analysis, alert sound fingerprinting runs automatically — no extra step needed. (Only for upcoming uploads or Twitch imports.)
- After processing, every matched alert sound appears as an Alert Sound marker in your results with the exact timestamp.
Supported event types
- Donations — tip and donation alert sounds
- Subscriptions — new sub and resub alert sounds
- Raids — incoming raid alert sounds
- Any other recurring audio cue you want to detect (custom alert sounds, jingles, etc.)
You can upload multiple fingerprints — one per alert type — and all of them are detected in every recording.
Requirements
- Minimum 0.2 s of audio per fingerprint file
- Maximum 100 MB per fingerprint file
- Supported formats: same as regular uploads (MP3, WAV, FLAC, AAC/M4A, OGG, Opus, PCM)
- Available on the Studio plan
Import into your editor
How to import the markers
After analysis, download the marker file from CutCue and import it into your NLE.
For video editing
| Format | Software |
|---|---|
| CSV | Premiere Pro |
| XML | DaVinci Resolve |
| C Script | Vegas Pro |
| EDL | Professional NLEs |
- Premiere Pro: Install the free "CutCue.io CSV Marker Importer" plugin from Adobe Exchange → open the plugin panel → click Select CSV → choose whether to clear old markers or add to existing markers → click Import Markers
- DaVinci Resolve: File → Import Timeline → select the XML or EDL file
- Vegas Pro: File → Import → C Script → markers are placed on your timeline
For audio/podcast editing
| Format | Software |
|---|---|
| Reaper CSV | Reaper |
| Audacity Labels | Audacity |
Subtitles
| Format | Use case |
|---|---|
| SRT | YouTube, Vimeo, most video players |
| VTT | Web embedding, HTML5 video |
SRT and VTT files are provided when subtitle or transcript-oriented exports are available for your workflow and plan. Drop them into your NLE or upload to YouTube's subtitle manager.
Support
Troubleshooting
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
Ready to run your first analysis?
Upload your audio and get timestamped markers in Premiere Pro, DaVinci Resolve, or Vegas Pro — in minutes, not hours.
Start your first analysis →Already have an account? Log in →