AI Audio Editor
Edit audio by chatting. Say what you want — clean it up, cut the “ums”, autotune, split stems, dub into another language — and the AI does the rest.
No install, nothing to learn. Drop a file once you’re in — MP3, WAV, M4A, FLAC, OGG, MP4.
Edit by talking
No timeline, no menus, no plugins to chain. Say what you want — “remove the hum”, “cut the part about pricing” — and the AI figures out which tools to use and runs them.
A whole studio, packed in
A server-side ffmpeg engine and neural models cover cleanup, cutting, EQ, dynamics, pitch, stem separation, voiceovers, and voice-preserving translation — reached just by asking.
Non-destructive, always
Every edit is a new version you can play, A/B, download, or roll back to. Your original is never overwritten, so you can experiment without fear.
It used to take an afternoon. Now it’s a sentence.
Every one of these is a real job people still do by hand. Here you just describe the result.
Look up the LUFS spec, chain a loudness filter, get every number exactly right.
Scrub the waveform and razor-cut every gap by hand.
A resample-and-stretch chain that ruins the take if one number is off.
A neural model, a GPU, and a Python environment that fights back.
A DAW, a pitch plugin, and an afternoon of riding every note.
Tap along, guess, and argue with a tuner.
Just say it — here’s what happens
Type it like you’d ask a person. The AI maps your words onto the right tools and shows you the result as a version.
“Remove the background hum and hiss”
Neural cleanup + de-hum
“Make it podcast-ready”
Cleanup → EQ → loudness to −16 LUFS
“Cut every “um” and the dead air”
Word-accurate filler + silence cuts
“Cut the part about pricing”
Finds it in the transcript, ripple-cuts it
“Split this song into stems”
Vocals, drums, bass, guitar, piano, other
“Autotune me to C major”
Pitch correction that keeps your voice
“Dub this into Spanish but keep my voice”
Voice-preserving translation
“Add an intro that says “Welcome to episode 12””
AI voiceover, dropped on the timeline
“Put a chill music bed under my voice”
AI-generated music on its own track
“Find the catchiest 30 seconds for a ringtone”
Highlight finder + ringtone cut
“What key and BPM is this?”
Key, tempo & structure analysis
“Give me captions and show notes”
SRT/VTT captions + AI summary
Everything packed in
The full toolset of a pro studio and a stack of AI models — all reachable in one conversation.
Clean up the noise
- Neural noise removal
- De-hum & de-rumble
- De-ess & de-click
- De-plosive & noise gate
- Declip & restore
Cut & arrange
- Trim, split & ripple-cut
- Cut by transcript — words, fillers, tangents
- Fade in / out & seamless loops
- Move & combine clips
- Split into equal parts
Tone & dynamics
- Parametric & voice EQ
- Compressor & limiter
- Loudness normalize (LUFS)
- Bass & treble shaping
Time & pitch
- Speed up / slow down
- Tempo stretch — no chipmunk
- Pitch shift ±12 semitones
- Reverse, echo & reverb
Separate stems · AI
- Split into 6 stems
- Isolate vocals, drums, bass…
- Extract or remove one instrument
- Vocal removal for karaoke
Tune the performance · AI
- Autotune to any key & scale
- Formant-safe — still sounds like you
- Key & BPM detection
- Replay the melody on 19 instruments
Generate voice & music · AI
- Text-to-speech voiceovers
- Spoken intros & outros
- Music beds from a text prompt
- Dropped straight on the timeline
Translate & dub · AI
- Dub into 12+ languages
- Keeps the original voice
- One recording, every market
Understand & deliver · AI
- Transcribe any length, speaker labels
- SRT / VTT captions
- Summaries & show notes
- Producer critique, one-tap fixes
- Catchiest-30-seconds finder
It doesn’t just edit — it listens
It reads your audio, speaks it in another language, and tells you what a producer would fix. That’s what turns an editor into a publishing tool.
Transcribe → edit by meaning
Every word written down, with speaker labels — any length. Edit by content instead of hunting timestamps: “cut the part about pricing” finds it and removes it. Then keep the transcript, export SRT/VTT captions, or ask for show notes.
Translate → reach everyone
Dub your recording into 12+ languages while keeping your own voice. One podcast, ad, or lesson — every audience, no re-recording, no new talent.
Critique → a producer in the room
Ask “what would you fix?” — it listens to the whole mix, points at the exact moments that need work, and hands back fixes you can run with one tap.
Built for the work you actually do
Whatever you’re making, you describe the result — the AI handles the audio.
Podcasters & creators
- Clean up noise & hum
- Cut “ums”, coughs & tangents
- AI intros & generated music beds
- Captions & show notes in one ask
Localization & marketing
- Dub a VO into 12+ languages
- Keep the original voice
- One recording, many markets
Course creators
- Clean up lecture audio
- Split long lessons into parts
- Dub courses into new languages
Journalists & interviewers
- Transcripts with speaker labels
- Cut to the quote that matters
- Clean up field recordings
Musicians & remixers
- Split songs into stems
- Autotune to key — formants intact
- Karaoke & acapella versions
- Replay the melody on new instruments
Teams & business
- Clean up meeting & webinar audio
- Meeting audio → summary
- Localize announcements & training
- Normalize loudness for delivery
Real workflows, start to finish
Each step is something you say; the editor does the rest and saves a version you can roll back to.
Raw recording → ready to publish
- 1
“Make it podcast-ready”
Denoise → EQ → loudness
- 2
“Cut every “um” and tighten the pauses”
Word-accurate filler + silence cuts
- 3
“Add an intro and a soft music bed”
AI voiceover + generated music
- 4
“Captions and show notes, please”
SRT/VTT + episode summary
One voiceover → another language
- 1
“Transcribe it so I can proof the script”
Full transcript
- 2
“Dub it into Spanish and keep my voice”
Voice-preserving dub
- 3
“Now do French”
A second dubbed version
Interview → the clip that matters
- 1
“Transcribe the interview”
Searchable transcript
- 2
“Pull the part where she talks about funding”
Finds it, cuts it to a clip
- 3
“Clean up the room noise”
Neural enhancement
Rough take → tuned & split
- 1
“What key and BPM is this?”
Key, tempo & structure analysis
- 2
“Autotune the vocal to that key”
Formant-safe pitch correction
- 3
“Split it into stems”
Vocals, drums, bass, guitar, piano, other
- 4
“Make a karaoke version too”
Vocal removal + per-stem export
How it works
- Step 1
Drop your audio
The editor listens, tells you what it is — podcast, voiceover, song — and flags length, levels, and any noise.
- Step 2
Say what you want
Describe the edit in plain words, or tap a suggested action. The AI plans the whole ffmpeg + neural chain and previews each step before it touches your audio.
- Step 3
Play, compare, export
Every change is its own version with a waveform — A/B it against the last, roll it back, then download MP3 or WAV.
Frequently asked
What can the AI audio editor do?
A lot — all by describing it. Clean up audio (neural noise removal, de-hum, de-ess, de-click, de-plosive, noise gate), cut sections and trim silence or filler words with word-level accuracy, shape tone and loudness (EQ, compression, limiter, bass and treble), change speed, tempo or pitch, autotune vocals to any key and scale, detect key and BPM, split a song into stems, remove or isolate a single instrument, strip vocals for karaoke, replay a melody on a different instrument, generate spoken intros, voiceovers and music beds, dub a recording into 12+ languages, transcribe with speaker labels, export SRT/VTT captions, write summaries and show notes, find the catchiest 30 seconds for a ringtone, and critique your mix with one-tap fixes.
How is this different from a normal audio editor?
A normal editor gives you the timeline and the plugins and leaves the work to you. This one does the work. You describe the result; the AI plans the chain of operations, runs it, and shows you a version to approve. It is the advanced editor — everything a manual DAW or a wall of ffmpeg commands could do, without you driving the tools.
What powers the editing under the hood?
A server-side ffmpeg engine handles the classic operations — cuts, fades, EQ, loudness, pitch, format conversion — and neural models handle the AI work: speech enhancement, stem separation, and voice-preserving translation. The AI agent decides which to run and in what order; you just say what you want.
Do I need editing skills?
No. There is no timeline or controls to learn — you just chat. The AI decides which tools to use, runs the whole workflow, and shows you the result as a new version you can play.
Can it remove background noise?
Yes. It uses neural speech enhancement to lift voice out of hiss, hum, and room noise, plus targeted fixes like de-hum, de-ess, de-click, de-plosive, and a noise gate — just ask it to “clean it up” or “make it podcast-ready”.
Can it split a song into stems?
Yes. Ask it to split a track and it separates vocals, drums, bass, guitar, piano, and other into individual stems — each with its own player and download. You can also extract or remove a single instrument, or strip the vocals for a karaoke version.
Can it translate or dub my audio?
Yes. Point it at a voice recording and ask for another language — 12+ are supported — and it produces a dubbed version that keeps the original speaker’s voice. Translation and voice preserved together.
Can it autotune my vocals?
Yes. Ask for a key and scale — “autotune this to A minor” — or let it detect the key first. Correction strength goes from a gentle nudge to the classic hard-tune sound, and it preserves formants, so it still sounds like you rather than a chipmunk.
Can it generate music?
Yes. Describe what you want — “a chill lo-fi bed”, “an upbeat intro sting” — and it generates the music and places it on its own track alongside your recording. AI voiceovers work the same way: type the line, pick where it goes.
How long can my files be?
Hours-long recordings are fine. Transcription handles any length, and heavy operations run as background jobs — you can keep chatting while they finish.
Can I undo a change?
Always. Every edit is a separate version you can play, A/B against the previous one, or roll back to. Editing is fully non-destructive, so your original is always intact.
What files can I use?
Drop MP3, WAV, M4A, FLAC, OGG, AAC, or audio from an MP4 — you can also add several clips into one project. When you are done, download the result as MP3 or WAV.
Is it free?
You can start editing right away. AI processing is metered with credits, like the rest of Notevibes’ AI features.
Stop driving the tools. Just say it.
Drop a file and describe the edit. The AI does the hard part — and every change is a version you can undo.
Non-destructive — your original is never touched.