Super Mode Now Automatic + Smooth Pass Retired: What Changed
Super Mode now runs automatically on every song, so you no longer need to toggle it. Smooth Pass has been retired because output quality was not where we wanted it. Use the voice changer with curated or custom models to refine results, with vocal upscaling coming to V3 soon.
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Quick update on this post. Super Mode is now applied automatically on every song in the ChangeLyric dashboard. There is no checkbox to toggle anymore. Every job gets the deeper analysis by default.
We also retired Smooth Pass. Quality was not where we wanted it, and we would rather kill a feature than ship something that disappoints you. The rest of this post explains what Super Mode does and what to use now in place of Smooth Pass.
- 0:00Intro
- 0:13Why V3 is built for producers, not casual users
- 1:01I use V3 on every service order
- 1:14How the tool works: original vs new lyrics
- 1:42Beatles "Yellow Submarine" demo
- 3:20What V3 actually outputs (use it as a demo base)
- 3:35Solo vocals vs group vocals (and when V3 falls short)
- 3:50When to use V2 Horizon instead
- 4:13V3 as part of a greater toolkit, not a one-click solution
- 5:00Always download the ZIP folder (80% of complaints skip this)
- 5:12What's inside: backing vocal, lead vocal, cover track, instrumental
- 5:49Inpaint C and repeated vocals (chorus handling)
- 6:13Closing thoughts and what's next
What Super Mode Does
When you submit a song, the AI now spends several minutes analyzing your uploaded track before generating anything. It studies the vocal characteristics, how the singer transitions between phrases, and how the voice sits in the mix.
Then when it generates your new lyrics, it has that deeper context to work with. The result is vocals that match the original more closely: better tone matching, smoother transitions between changed and unchanged sections, and output that preserves the feel of the original recording.

The Time Tradeoff
The first time we run on a new song, the analysis adds roughly 5-10 minutes of processing time. That is the AI doing its deep work upfront.
But that analysis is cached. Every subsequent edit on the same song, whether different lyrics, different sections, or new versions, runs at normal speed. The AI already knows the song, so the real cost is a one-time wait per song.
If you are doing multiple iterations on a song (which you should be), the upfront analysis pays for itself after the first edit. It is included with your plan at no extra cost.

How To Use It
Just upload your song in the dashboard and submit. Super Mode is on by default for every job, so there is nothing to toggle. Your workflow is the same as before.
Smooth Pass Has Been Retired
We previously shipped a Beta refinement tool called Smooth Pass that let you build a scratch track in your DAW and return a polished isolated vocal. It is no longer available. Output quality was not consistent enough to keep it in the product.
Rather than keep a feature that disappointed people, we pulled it. Below is what to use instead, plus what we are building next.
Use The Voice Changer To Refine Output
If your Super Mode result is close but you want to push tone matching further, run the vocal through the voice changer. You get two paths there.
Option 1: Pick a curated model. We have over 200 curated voice models covering a wide range of genres and vocal styles. Find one that matches the original artist closely and run your output through it for a tighter tone match.
Option 2: Train your own model. If you need the best possible match for a specific song, train a custom model on the original vocal. A model trained on the exact track you are editing will outperform any generic model for that song.
See our guide on the best way to change a vocalist with AI for the full workflow.
Vocal Upscaling Coming To V3
We are working on integrating vocal upscaling, powered by the same voice changer pipeline, directly into the V3 tool. The goal is one-click refinement on every job, no separate step required. Expect this to land soon.
A Note On Using Suno For Smoothing
If you have used Suno before, their refinement step is genuinely good for smoothing rough vocal tracks. It is a legitimate option in your toolkit, not a competitor we are pretending does not exist.
One catch: Suno's content moderation is strict. If you upload a track that still has the original instrumental on it, their system can misdetect it as copyrighted material and block the job. The workaround is to remove the instrumental from your input audio before sending it to Suno, so they only see the vocal you are trying to refine.
You can pull a clean vocal stem out of any mix using the stem separation step that already runs as part of your ChangeLyric job, then take that isolated vocal into Suno for smoothing.
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Frequently Asked Questions
No. Super Mode now runs automatically on every song. There is no checkbox, no toggle, and no extra step. Every job gets the deeper analysis by default.
No. It is included with your ChangeLyric plan. The only cost is extra processing time on the first run for each song.
The initial analysis adds roughly 5-10 minutes. After that, every edit on the same song runs at normal speed because the analysis is cached.
No. It improves the vocal quality and matching, not your writing. If your replacement lyrics have mismatched syllable counts or clash with the melody, Super Mode will not fix that.
We retired it. The Beta version had melody-following issues we could not get to a quality bar we were comfortable shipping. Rather than keep a disappointing feature in the product, we pulled it and pointed users to the voice changer instead.
Use the voice changer at /dashboard/voice-changer. You can either pick from over 200 curated models that match the original artist closely, or train a custom model on the specific song for the tightest possible match.
Yes. We are working on integrating vocal upscaling, powered by the same voice changer pipeline, directly into the V3 tool so you get one-click refinement on every job. It is coming soon.
Yes, and Suno is genuinely good at this. The catch is content moderation: if your input still has the original instrumental, Suno can misdetect it as copyrighted material and block the job. Strip the instrumental and feed Suno an isolated vocal to avoid that.
Your ChangeLyric job already runs stem separation as part of the pipeline. Use that isolated vocal as the input to Suno's smoothing step. Or use any standalone stem separation tool you trust.