Your eLearning Voiceover Shouldn't Sound Like a Home Recording. Now It Doesn't Have To.eLearning Audio Cleaner
Upload a voiceover, screen recording narration, or subject-matter expert (SME) interview recorded for an eLearning module and let AI remove background noise, room echo, and microphone hiss — so the audio in your SCORM package, xAPI module, or LMS course sounds studio-quality. Works with Articulate Storyline exports, Adobe Captivate, iSpring, and any authoring tool output. Supports MP3, WAV, M4A, MP4, and MOV.
Upload the raw voiceover or narration before importing into your authoring tool. Cleaning at source gives better results than cleaning the exported module audio.
Clean SME recordings
Subject-matter experts recorded on laptop mics or home setups need cleanup before their audio goes into your authoring tool.
Consistent audio across all modules
Every module in your course gets the same cleanup standard, so learners hear consistent quality from Module 1 through the final assessment.
Ready for authoring tool import
Clean MP3 or WAV files drop straight into Articulate Storyline, Captivate, iSpring, or Lectora without re-encoding.
Quick answer
eLearning voiceovers are often recorded by subject-matter experts who are not audio professionals — a product manager narrating a compliance module from their home office, a sales trainer recording from a hotel room, a department head explaining a process on a Tuesday afternoon between meetings. The result is narration with real-world noise: laptop fan hum, room echo in an untreated home office, HVAC noise cycling in the background. These recordings need cleanup before they go into an authoring tool like Articulate Storyline or Adobe Captivate — because once the audio is baked into a SCORM package and published to your LMS, re-doing it means re-recording, re-editing, and re-publishing. Denoisr processes your raw voiceover or SME recording before it goes into production: upload the source audio, remove the background noise, and import the cleaned file into your authoring tool. The result is professional-sounding eLearning audio without a recording studio or an audio engineer on retainer.
Clean your eLearning voiceover here
Upload raw narration, SME interview audio, or screen recording voiceover before importing into Articulate Storyline, Captivate, iSpring, or your authoring tool.
Works best with narration and voiceover recordings. Steady background noise from home setups and office recordings responds best.
Drop your voiceover or SME recording here
Upload raw narration, SME interview audio, or screen recording voiceover before importing into Articulate Storyline, Captivate, iSpring, or your authoring tool.
Best with speech-only recordings
Background music, singing, or instruments may reduce cleanup quality. For best results, upload a voice track without music.
Sign up free — 5 credits included, no card required.
One file at a time
Upgrade to Starter for 2-file batches
Honest expectations
What eLearning audio cleanup handles — and where it has limits
AI denoising works well for the steady, predictable noise that accumulates in home office and office recording environments. Knowing the limits helps your L&D team get better results.
Works well for
- SME narration recorded on a laptop or USB microphone in a home office or conference room
- Screen recording voiceover with laptop fan noise building up during long narration sessions
- HVAC and air conditioning cycling in the background of office-recorded narration
- Room echo in untreated recording spaces — spare office rooms, home offices, meeting rooms
- Electrical hum and ground-loop buzz from USB microphones used by SMEs
- Steady ambient noise from open-plan offices where SME recordings were rushed
May not fully fix
- Narration where the speaker was more than 3-4 feet from the microphone
- Recordings with heavy reverb from a hard-floored conference room with no acoustic treatment
- Audio where the microphone clipped from the SME speaking too loudly or too close
- Background music or sounds that overlap with the narration throughout
- Severe compression artifacts from video-call recordings used as source audio
- Multiple speakers recorded simultaneously with no separation
How it works
How to clean eLearning audio before importing into your authoring tool
No audio engineering skills required. Three steps from raw SME recording to authoring-tool-ready narration.
Collect the raw source audio
Get the narration file from your SME or voiceover artist. Record in your preferred tool, export audio from a video call recording, or extract the audio track from a screen recording.
Upload and clean before importing
Drag and drop into Denoisr, choose Clean Noise or Enhance Voice, and compare the result. Download the cleaned MP3 or WAV file.
Import the cleaned file into your authoring tool
Drop it into Articulate Storyline, Adobe Captivate, iSpring, Lectora, or Rise 360 as you normally would. The noise is already gone — no in-tool audio editing needed.
Instructional designer scenarios
Six ways L&D teams use Denoisr in eLearning production
From SCORM package production to course catalog refreshes, these are the situations where Denoisr saves instructional designers time and keeps audio consistent across modules.
SME narration cleanup
Your HR director recorded a 20-minute compliance module in their home office on a Saturday. Their USB mic picks up the AC and a faint laptop hum. Clean the audio before importing so learners aren't distracted.
Articulate Storyline voiceover preparation
You're inserting narration into a Storyline course. Clean the raw WAV file before inserting it into the timeline so the audio layer is clean before you lock the slide sequence.
Screen recording narration cleanup
You recorded a software simulation walkthrough with a voiceover. The screen recorder picked up fan noise during the 45-minute session. Clean before importing into your authoring tool.
Localization source audio cleanup
You are localizing an English eLearning course into 5 languages. The source narration needs to be clean before being sent to translators and voice actors, so the localized versions have a consistent quality baseline.
Rapid development module cleanup
On a tight deadline, the SME self-recorded narration using a smartphone or laptop mic. Clean the recordings quickly before the rapid development sprint locks the build.
LMS content library audio refresh
You're updating an older course catalog. Instead of re-recording all narration, clean the existing audio to bring it up to current quality standards without production overhead.
Why L&D teams choose Denoisr
Professional eLearning audio without learning audio engineering
Instructional designers are experts in learning design — not in noise gates, spectral editing, or EQ curves. Denoisr handles the audio technical layer automatically so your team can focus on building effective learning experiences.
Works before or after authoring tool
Clean your source audio before importing into your authoring tool (preferred), or extract and clean audio from exported HTML5/SCORM content and reimport.
Batch cleanup for entire module sets
Upload multiple narration files for all modules in a course and clean them in parallel. Useful when refreshing an entire catalog or cleaning multiple SME recordings.
Consistent audio baseline across all modules
Whether your course has 5 modules or 50, the same AI cleanup standard produces consistent output across all narration files.
No audio engineering required from L&D team
Instructional designers spend their time on learning design, not noise gates and spectral editing. Denoisr handles the audio technical layer automatically.
Transcript generation for captioning and localization
After cleaning, generate a word-accurate transcript from the narration audio. Use for closed caption files (VTT/SRT) or as a reference script for localization.
Browser-based, no software installation
Runs in any browser. No IT request needed to install audio editing software. Works on the L&D team's standard-issue laptops.
Hear the difference
Before and after — real eLearning voiceover samples
These samples come from actual voiceover recordings with common home office and office noise. Toggle between the original and cleaned version to hear what Denoisr does.
Home office narration
Narration recorded at home — fridge hum, fan, light traffic. The audio reality of remote SME recording.
Why L&D teams choose Denoisr
These are the kind of recordings SMEs actually produce. Hear how Denoisr handles them before you try your own file.
Voice-trained AI
Keeps speech natural while suppressing steady background noise.
One-pass cleanup
No plugins, no DAW, no manual noise-profile selection.
Compare before you commit
Preview the cleaned result alongside the original — download only what sounds right.
Denoisr facts for eLearning producers
eLearning Audio Cleaner — frequently asked questions
Should I clean audio before or after importing into Articulate Storyline?+
Before. Clean your source audio file first, then import the cleaned version into Articulate Storyline (or any authoring tool). Once narration is imported and the slide sequence is locked, replacing the audio requires reopening the source and reimporting. Cleaning at source — before the authoring tool stage — is faster and gives better results because the file hasn't been re-encoded by the publishing pipeline.
Can I clean audio extracted from an existing SCORM package?+
Yes. You can extract the audio files from a published SCORM or HTML5 package (they are typically stored as MP3 files in the package folder), clean them in Denoisr, and reimport them into your authoring tool. The workflow works but it is more efficient to clean the source narration files before the first publish rather than extracting from the published package.
How do I get consistent audio quality across 30 modules with different SMEs?+
Upload all narration files and process them with the same cleanup mode. The AI adapts to each file's specific noise profile while targeting the same quality output. This means a recording from your compliance officer and one from your product manager will both come out at a consistent, professional level — even if one was recorded in a home office and one in a conference room. Batch processing handles multiple files in parallel.
Can it handle a 60-minute narration file?+
Yes. The Pro plan supports files up to 4 hours long. A 60-minute module narration processes as a single file — you do not need to split it. Processing time scales with file length, so longer files take more time, but the output is one clean file ready for your authoring tool.
Will it work with audio recorded on a smartphone by an SME?+
It depends on recording conditions. Smartphone recordings in a quiet room with the phone held close to the speaker clean up well — the AI handles the room tone and ambient noise effectively. Smartphone recordings where the SME was far from the phone, or in a noisy environment, may not clean up as well. The best results come from a smartphone held or positioned 20-30 cm from the speaker's mouth.
Professional eLearning audio without a recording studio
Upload your SME narration or voiceover and clean it before it goes into your authoring tool. Five free credits included — no card, no commitment.