Narration that sounds right

Use ngram as an AI voice generator for video. AI Voiceover turns your script into narration, lets you choose a voice, and keeps audio connected to the scenes in your project.

ngram.com/features/ai-voiceover
AI Voiceover proof slot for this section. Replace with real product capture when a stronger asset is available.
  • Generate voiceover from the approved video script
  • Choose generated voices or approved team voices when available
  • Regenerate narration after script edits without a separate recording workflow

Trusted by teams at

Salesforce
Salesforce
HubSpot
HubSpot
PayPal
PayPal
Snap Inc.
Snap Inc.
Rocket Mortgage
Rocket Mortgage
Tektronix
Tektronix
Diligent
Diligent
Times Internet
Times Internet
Fivetran
Fivetran
Demandbase
Demandbase
Salesforce
Salesforce
HubSpot
HubSpot
PayPal
PayPal
Snap Inc.
Snap Inc.
Rocket Mortgage
Rocket Mortgage
Tektronix
Tektronix
Diligent
Diligent
Times Internet
Times Internet
Fivetran
Fivetran
Demandbase
Demandbase
Eightfold AI
Eightfold AI
PingCAP
PingCAP
Quizizz
Quizizz
Apryse
Apryse
Sandbox VR
Sandbox VR
Improvado
Improvado
Taggbox
Taggbox
Matrixport
Matrixport
Glasswall
Glasswall
ContractSafe
ContractSafe
Eightfold AI
Eightfold AI
PingCAP
PingCAP
Quizizz
Quizizz
Apryse
Apryse
Sandbox VR
Sandbox VR
Improvado
Improvado
Taggbox
Taggbox
Matrixport
Matrixport
Glasswall
Glasswall
ContractSafe
ContractSafe
The problem

Voiceover should not become a second production track

Manual narration adds recording, cleanup, timing, and revision work to every video. A small script edit can mean another take and another timeline pass.

i.

Recording slows script changes

Teams avoid better wording because a new recording would reopen the edit.

ii.

Audio and scenes drift apart

Narration, captions, and scene timing need to be checked again after each change.

iii.

Localized versions multiply the work

A second language often means a second audio workflow instead of a variant of the same project.

AI Voiceover keeps narration inside the video workflow.

The solution

Script in, voiceover out

AI Voiceover turns script text into narration inside the video workflow, so audio stays connected to scenes, edits, and localized variants.

ngram.com/app/storyboard
AI Voiceover proof slot for this section. Replace with real product capture when a stronger asset is available.
AI Voiceover proof slot for this section. Replace with real product capture when a stronger asset is available.

Narration follows the same script and scene plan as the video.

i

Script-driven narration

Write or import the script, choose a voice, and generate audio that is ready for the timeline.

ii

Voice picker and team voices

Use a generated voice or an approved voice from the workspace voice library when one is available.

iii

Regenerate after edits

When the script changes, regenerate narration from the revised text without opening a separate recording workflow.

What makes AI Voiceover different

Narration stays tied to the video plan

AI Voiceover uses the same script and scene structure as the rest of the project, so audio changes stay connected to edits.

Script-linked

Uses the active script

The voiceover is generated from the same copy the storyboard and captions use.

Team-ready

Supports voice libraries

Approved custom voices can live in the workspace voice library for repeat use.

Localizable

Works with translated variants

Translated scripts can receive matching voiceover as part of a localized video workflow.

How it works

How AI Voiceover works

Write or import the script, choose a voice, then generate narration that stays attached to the video scenes.

ngram.com/features/ai-voiceover#how-it-works
AI Voiceover proof slot for this section. Replace with real product capture when a stronger asset is available.
Write

Start with the script

Use the generated script, edit it directly, or paste approved narration into the project.

Select

Choose a voice

Pick a generated voice or a team voice when your workspace has one ready.

Generate

Generate and revise

Create the narration, review it with the scene timing, and regenerate after copy changes.

Where to use AI Voiceover

Where AI Voiceover fits in the real work.

Use AI Voiceover in the moments where a business message needs to become a clear, polished video for a specific audience, channel, or workflow.

primary

Explainer Video

Paste your landing page URL, a product doc, or a rough script and get a polished explainer video back inside 30 minutes. An explainer video maker built for SaaS — no animation skills, no agency brief, no six-week production cycle.

View use case
primary

Training Video

Turn your SOPs, screen recordings, and process docs into a corporate training video in under thirty minutes. Smart zooms on every click, step labels on every menu, captions burned in, branded intro applied — ramp new hires faster without booking a video team.

View use case
primary

Customer Onboarding Video

Turn help docs or a screen recording of the setup flow into a polished customer onboarding video new accounts actually finish. Reach first-value the same day, not the following week, without booking another live kickoff call.

View use case
sales

Sales Demo Video

Record your product once. Spin up a prospect-specific sales demo video for every deal in your pipeline — branded, captioned, and ready in fifteen minutes. No SE waitlist, no agency invoice, no "picture your data here."

View use case
primary

Help Center Video

A help center video maker built for support teams turns one screen recording into a polished tutorial customers actually finish — smart zooms on every click, captions for silent browsing, embed ready for Zendesk, Intercom, or any docs platform.

View use case
primary

Internal Communication Video

Drop in a webcam recording, paste a written announcement, or upload the all-hands replay. An internal communication video maker built for distributed teams hands you back short, captioned, brand-matched updates employees finish across every timezone.

View use case
Comparison

AI Voiceover compared with the usual alternatives

AI Voiceover is built into the ngram video workflow. The comparison below uses conservative workflow categories instead of unsupported competitor claims.

CapabilityngramManual workflowTemplate editorPoint tool
Script connection Generated from the active video script× Recorded outside the project~ Often tied to a separate audio file~ Generated in a separate tool
Revision workflow Regenerate after script edits× Record another take~ Export and re-import audio~ Create a new audio file
Localization Pairs with translated scripts and captions× Requires separate recordings~ Requires manual coordination~ Varies by tool
Team voice support Workspace voice libraries when approved× Depends on available speaker time~ Depends on vendor setup~ Usually separate from video editing
Pair with other features

AI Voiceover is stronger as part of a full video workflow

Use AI Voiceover with the adjacent ngram features that handle script, visuals, voice, brand, motion, collaboration, and export.

Most paired

Script Generation

Generate the script first, then turn the approved narration text into voiceover.

Feature · 02

Brand Kit

Apply approved tone, visual style, logos, colors, and motion rules around the narrated video.

Feature · 03

Music

Add background music that supports the narration without burying the spoken message.

Feature · 04

AI Visuals

Generate scene-matched visuals that support the spoken script across the full video.

Feature · 05

Collaboration

Review script, voiceover, captions, and visuals with comments tied to the exact frame.

Feature · 06

Enterprise Integrations

Trigger narrated video workflows from automation, browser capture, publishing, and agent routes.

FAQ

Questions about AI Voiceover

AI Voiceover generates narration from the video script using supported TTS providers and keeps the audio connected to the project.

Still curious?

Create your next video with AI Voiceover

AI Voiceover works inside ngram, so the script, scenes, brand, assets, and export path stay connected from first draft to final video.

Built for business video teams. Connected to the ngram workflow.