Video to Audio by ngram
Pull the audio out of any video
Drop a video or click to upload
MP4, MOV, WebM, MKV, AVI, M4V - meetings, webinars, demos, and social cuts work best
What it does
Drop an MP4, MOV, WebM, or MKV, strip the audio track as MP3 or WAV, and keep the speech connected to the same ngram project for cleanup, transcription, captions, voiceover, music, and video reuse.
Trusted by teams at
How it works
From a video file to a usable audio track.
Upload the clip, demux the audio stream into MP3 or WAV, review the track, and keep going into transcription, cleanup, or a finished video edit.
Upload the video
Start with a meeting recording, webinar, demo, testimonial, lecture, founder interview, or social clip that contains the voice or audio you actually need.
Video uploaded
Strip the audio track
ngram demuxes the audio stream out of the video container, returns the speech as a clean MP3 or WAV file, and keeps the original clip linked to the project.
Audio extracted
Clean, transcribe, or trim
Send the track into noise cleanup, AssemblyAI transcription, caption generation, voiceover swaps, or a clipped highlight before the next production step.
Audio ready for edits
Reuse or export
Download the audio file, pair it with new visuals in the same project, or render the result as MP4, GIF, WebM, or PPTX from inside the ngram editor.
Project stays connected
What it can do
What the extracted audio can become.
Treat video-to-audio extraction as the first step of a video workflow, not the last step of a file transfer.
Demux the audio stream
Pull the speech track straight out of an MP4, MOV, WebM, or MKV container so the audio plays on its own without the video frame attached.
Save as MP3 or WAV
Export the extracted track as MP3 for podcast and transcription pipelines, or WAV when an editor needs an uncompressed master to mix against.
Clean the room out of the voice
Run the extracted audio through ngram noise removal when the original recording has fan hum, traffic, Zoom artifacts, or distracting background sound.
Open Remove Background Noise from AudioTurn the audio into a transcript
Send the MP3 or WAV into AssemblyAI transcription with speaker labels and timestamps, then use the text for captions, scripts, summaries, and clip selection.
Open Audio to TextDrive captions off the speech track
Once the audio is isolated, timed captions, burned-in subtitles, and brand-styled text overlays line up against the speech instead of fighting the original mix.
Learn more about captionsPair the track with new visuals
Layer the extracted audio over screenshots, B-roll, product footage, motion graphics, or branded scenes when the original frame is not the deliverable you want.
Built for recordings that become finished video
When it matters
Where extracted audio unblocks the next video.
Nine ngram use-case pages where a video recording is more useful as a speech track than as a finished cut.
Meeting Recap Video
Pull the speech out of a Zoom or Meet recording, transcribe the decisions, and ship a captioned recap video for everyone who could not join the call.
Open AI video use caseWebinar Clips
Extract the audio from a webinar recording, find the strongest moments in the transcript, and cut captioned vertical clips from the matching speech segments.
Open AI video use caseCustomer Testimonial Video
Strip the voice track out of a customer interview video, surface the most useful quotes, and rebuild the testimonial with cleaner captions and brand visuals.
Open AI video use caseSales Demo Followup Video
Pull the speech from a recorded demo call, reuse the buyer questions as the follow-up script, and ship a captioned reply video buyers can replay internally.
Open AI video use caseCS QBR Video
Extract the audio from a recorded QBR session, capture the metrics and commitments verbatim, and turn the conversation into a captioned stakeholder summary.
Open AI video use caseInternal Communication Video
Pull the speech out of leadership all-hands and async updates so internal videos can be captioned, edited for length, and republished in a quieter format.
Open AI video use caseDevRel Conference Talk Video
Strip the audio from a recorded conference talk and reuse it as the source for tutorials, captioned highlight clips, podcast-friendly cuts, and docs assets.
Open AI video use caseEducator Lecture Recap Video
Extract lecture audio from a class recording, transcribe the lesson, and publish captioned recap clips, study notes, and translated variants for students.
Open AI video use caseCreator YouTube Content Video
Pull the speech track out of long-form recording video, trim the strongest beats, and feed the clean audio back into captioned YouTube cuts and Shorts.
Open AI video use caseProduct stack
Features that finish the work once the audio is out.
Video-to-audio extraction is the entry point. These ngram features carry the MP3 or WAV track into transcripts, captions, voiceover, translation, brand, and export.
Captions & Subtitles
Generate timed captions off the extracted speech, edit phrasing line by line, and burn subtitles into the rebuilt video using brand fonts and colors.
Learn more about captionsAI Voiceover
Use the extracted audio as the reference take, then regenerate a clean ElevenLabs or MiniMax voiceover when the original recording is too rough to publish.
Learn more about AI voiceoverScript Generation
Feed the extracted speech into a structured script with hook, body, and CTA when the recorded audio is closer to a rough draft than a finished read.
Learn more about script generationTranslation & Localization
Translate the script, captions, and on-screen text from the extracted audio so one video recording ships in multiple languages with regenerated voiceover.
Learn more about translationMusic
Add background music under the extracted speech and balance the mix so the voice stays forward in the rebuilt video instead of fighting the bed track.
Learn more about musicVideo Editing
Move the extracted audio into the timeline editor, line up trims, scenes, callouts, and captions, and keep canvas and chat controls within reach.
Learn more about video editingScreencast Understanding and Editing
Pair the extracted audio with screen-recording footage so the demo voice drives chapter detection, smart zooms, and product callouts in the polished cut.
Learn more about screencast editingMulti-Format Export
Render the rebuilt video as MP4, GIF, WebM, PPTX, or aspect-ratio variants for LinkedIn, YouTube, Reels, and Shorts after the audio work lands.
Learn more about exportMore tools
Tools that pair with video to audio.
Use these around the extracted MP3 or WAV when the speech needs to be transcribed, cleaned, captioned, or turned back into a finished video.
Work with the extracted audio
Transcribe, clean, or regenerate the speech track
Audio to Text
Transcribe the extracted MP3 or WAV with AssemblyAI, speaker labels, and timestamps so the spoken content becomes editable text for captions and scripts.
Open toolRemove Background Noise from Audio
Clean the extracted speech track when the original recording carries room tone, fan hum, traffic, or Zoom artifacts behind the voice.
Open toolAI Voice Generator
Generate a clean voiceover from the extracted transcript when the original take is too rough to keep, even after a noise cleanup pass.
Open toolVoice Dubber
Replace the extracted spoken track with a localized voiceover when the same audio needs to ship in another language.
Open toolRebuild a finished video
Carry the audio back into a captioned, branded cut
Audio to Video
Layer captions, visuals, and brand styling over the extracted audio so the speech track becomes a publishable video instead of a loose file.
Open toolAdd Subtitles to Video
Burn timed subtitles into the rebuilt video using the captions generated from the extracted audio transcript.
Open toolAdd Music to Video
Drop background music under the extracted speech in the rebuilt video and balance the mix so the voice stays clear.
Open toolVideo Cutter
Trim the original video before extraction so only the segment with the speech worth keeping turns into MP3 or WAV.
Open toolMove between video and audio formats
Convert recordings on either side of the extraction
Remove Background Noise from Video
Clean the audio track inside a video file when keeping the video frame is more useful than pulling out a standalone MP3.
Open toolVideo Converter
Convert the source video file to a different container or codec when the original format is not friendly to your audio extraction workflow.
Open toolVideo to Text
Skip the standalone audio file and transcribe the speech directly off the video when the deliverable is text instead of an MP3.
Open toolConvert
Converters that sit next to audio extraction.
Use these public converter pages when the extracted speech track has to feed a longer source-to-video workflow or land as a polished clip.
Video to Audio (full workflow)
The complete converter view of this job, with MP3 and WAV output specs, batch handling, and segment trimming for podcast cuts and audiogram exports.
Open converterAudio to Video
Turn the extracted MP3 or WAV back into a captioned, branded video with visuals, motion, and the export formats the channel actually wants.
Open converterWebinar to Clips
Pair extracted webinar audio with the original recording to cut captioned highlight clips for social, sales, and customer education.
Open converterWho it is for
Teams that pull audio out of video every week.
These ngram solution pages cover the teams whose recordings, calls, and webinars usually need to become an audio track before the finished video can ship.
Customer Success
Strip the audio out of QBR recordings, onboarding calls, and customer check-ins, then turn the speech into captioned follow-up videos and renewal recaps.
See CS workflowsSales Enablement
Pull the speech track from recorded demos and discovery calls, surface the buyer language in transcripts, and rebuild the follow-up as a sharable video.
See sales workflowsProduct Marketing
Extract audio from launch recordings, customer interviews, and webinar replays so the same speech powers clips, story videos, and enablement assets.
See product marketing workflowsDeveloper Relations
Strip the speech out of conference talks, podcast guest spots, and API walkthrough videos and reuse it as the base for tutorials and captioned highlight cuts.
See DevRel workflowsEducators
Pull audio out of recorded lectures and class sessions to feed transcripts, captioned recap videos, study clips, and translated learning variants.
See educator workflowsContent Creators
Extract the speech track from long-form video recordings and reuse the audio across YouTube cuts, captioned Shorts, podcast feeds, and social posts.
See creator workflowsSupport Teams
Strip audio out of recorded support sessions and walkthroughs so the speech drives captioned help videos that match the actual answers given on the call.
See support workflowsHR & Internal Comms
Extract leadership audio from town halls and recorded policy briefings, then rebuild the message as a shorter captioned internal video.
See HR workflowsIntegrations
Route videos in, send the audio track out.
These live ngram integrations move video sources into the extraction tool and push the resulting MP3, WAV, or rebuilt video back to the rest of the stack.
Zapier
No-codeWhenA new meeting recording, webinar replay, or shared video lands in Drive, Dropbox, Zoom Cloud, or a form upload
ThenStart a video-to-audio job in ngram and drop the resulting MP3 or WAV in the team channel for review
n8n
WorkflowWhenA meeting bot, recording archive, or CMS posts a new video file that needs the speech track on its own
ThenRoute the video into ngram for audio extraction, transcription, and the next captioned-video step
Make.com
ScenarioWhenA customer interview or demo recording is approved in the review folder
ThenExtract the audio in ngram and attach the MP3 plus transcript to the matching CRM record
MCP Server
AgenticWhenClaude or ChatGPT is handed a video file and asked to return the speech as audio and text
ThenCall the ngram video-to-audio tool over MCP and return the audio file plus the captioned project context
Chrome Extension
CaptureWhenYou find a hosted recording, demo, or webinar online whose audio is worth keeping
ThenSend the video source into ngram for extraction without downloading and re-uploading the file
WhenA captioned clip rebuilt from the extracted audio is approved for posting
ThenPublish the clip to LinkedIn with caption text generated from the extracted-audio transcript
X (Twitter)
PublishWhenA short captioned teaser cut from the extracted-audio transcript is ready
ThenPost the clip to X with hook text pulled from the same transcript
YouTube
PublishWhenA full video rebuilt around the extracted audio is captioned and approved for the channel
ThenUpload it to YouTube with transcript-derived chapters, title, and description fields filled in
For programmatic video-to-audio pipelines, the public API, webhooks, presigned uploads, and the MCP endpoint cover the same paths.
Why ngram
How ngram compares for video to audio work.
Browser extractors hand you a file. ngram extracts the same MP3 or WAV but keeps the speech connected to transcripts, captions, voiceover, brand, and finished video.
| Compare | ngram | VEED | Kapwing | Manual workflow |
|---|---|---|---|---|
| Workflow fit | Extracts the speech track from MP4, MOV, WebM, MKV, and other common video formats and returns clean MP3 or WAV inside a project. | VEED offers a browser-based audio extractor with MP3 export and a connected online video editor. | Kapwing lets users detach audio from a video and export or remix the track inside a web-based editor. | Command-line tools like FFmpeg can demux any container into MP3 or WAV when the operator already knows the settings. |
| How ngram fits | Carries the same audio into AssemblyAI transcription, captions, AI voiceover, translation, and brand-styled video export without switching tools. | Strong fit for solo creators who want one tab for audio extraction plus light editing without leaving the browser. | Useful for social-first creators who need a quick MP3 pull and a place to remix the audio against new visuals. | Standalone browser extractors stop at the file download and leave transcription, captions, and video reuse to another tool. |
| Best use | Fits teams that want extracted audio to become a finished business video instead of a loose download. | ngram fits when the extracted track should keep moving through captions, brand, multilingual voiceover, and channel exports. | ngram focuses the same extracted audio on transcripts, captions, brand kits, and the finished business video around it. | ngram is simpler when non-editors need the audio to keep moving through transcription, captions, and a published video. |
FAQ
Common questions about video to audio
Still curious?
Keep the voice. Drop the video.
Strip the audio out of any video as MP3 or WAV, transcribe the speech, caption it, clean it up, or rebuild the cut as a finished branded video inside ngram.
Use the focused video-to-audio tool now, then finish the full workflow inside ngram.
Audio extraction, transcripts, captions, export