FeaturesDynamic AI Avatar Talking Head

AI avatars that present your script

Use ngram's AI avatars to put a presenter on camera without filming. Choose a pre-built avatar, use an approved face from your workspace library, or ask ngram to generate a synthetic on-brand presenter, then have the presenter deliver the script with synced lip movements.

ngram.com/features/dynamic-ai-avatar-talking-head
Generated proof placeholder for the avatar talking-head output slot. Replace with a real ngram render when available.
  • Turn an approved script into an avatar-led talking-head clip
  • Choose a pre-built avatar, team face, or generated presenter
  • Pair the presenter with generated voiceover and synced lip movement
  • Keep captions, brand kit, edits, and export in the same project

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

Talking-head video should not require a camera day

Presenter videos are useful, but filming them creates a second production workflow. The team needs a speaker, a script, a setup, retakes, and another edit whenever the message changes.

i.

Scheduling slows urgent updates

A product launch, training note, or founder update waits on availability instead of moving from script to video.

ii.

Script edits restart the shoot

A better line, legal change, or localized version can mean another take and another review pass.

iii.

Presenter clips drift from the main video

Voice, captions, B-roll, brand styling, and exports often live in different tools.

iv.

Teams need control over likeness

A face library needs workspace governance rather than scattered files and one-off requests.

Dynamic AI Avatar Talking Head keeps the presenter inside the same ngram video workflow.

The solution

Script plus face, presenter clip

Dynamic AI Avatar Talking Head turns a script and presenter source into a talking-head video with voiceover, captions, and lip movement generated inside ngram.

ngram.com/app/storyboard
Generated before-after placeholder for the avatar talking-head workflow. Replace with real product proof when available.
Generated before-after placeholder for the avatar talking-head workflow. Replace with real product proof when available.

A presenter clip without a filming workflow.

i

Start from the presenter source

Use a pre-built avatar, a face from the team library, or a generated presenter when the video needs a consistent on-brand speaker.

ii

Generate speech and lip sync

ngram pairs the script with generated voiceover and creates synced mouth movement for the selected presenter.

iii

Edit the whole video together

Keep the avatar clip, captions, brand kit, scenes, voiceover, and export settings in the same project.

Avatar video workflow

What makes the presenter useful in ngram

The avatar works as one scene direction inside a video that still has a script, storyboard, brand kit, captions, and export path.

Source

Presenter options stay flexible

Use pre-built avatars for fast videos, approved team faces for familiar presenters, or generated protagonists when a campaign needs a synthetic spokesperson.

Script

Delivery follows the approved words

The presenter speaks from the same script that drives the video, so edits to the message can be regenerated instead of reshot.

Brand

The surrounding video remains on brand

Captions, lower thirds, backgrounds, music, intros, outros, and motion graphics can stay tied to the workspace brand kit.

Variants

The same presenter can serve more than one audience

Use avatar and talking-head lip sync with localized scripts, persona variants, and channel-specific exports when the message needs versions.

How it works

How Dynamic AI Avatar Talking Head works

Choose the presenter source, add the script, generate the talking-head scene, then refine the rest of the video in ngram.

ngram.com/features/dynamic-ai-avatar-talking-head#how-it-works
Generated Studio-flow placeholder for the avatar talking-head workflow. Replace with an unedited product capture when available.
Choose

Choose or create the presenter

Pick a pre-built avatar, select an approved face from the team library, or describe the synthetic presenter you want ngram to generate.

Write

Add the script and voice

Use the generated script, paste approved copy, and pair it with a generated voice or approved team voice when available.

Generate

Generate the talking head

ngram creates the presenter clip with voiceover and synced lip movement, then places it into the video project.

Finish

Review, revise, and export

Edit the script, captions, scenes, brand treatment, and output format before rendering the final video.

Where to use Dynamic AI Avatar Talking Head

Where can you use Dynamic AI Avatar Talking Head?

Use avatar presenters anywhere a script needs a human-style opening, explanation, recap, or localized delivery.

primary

Training Video

Turn your SOPs, screen recordings, and process docs into polished training videos in minutes. Ramp new hires faster. Update content when workflows change. No video team required.

View use case
primary

Customer Onboarding Video

Turn help docs and rough screen recordings into polished walkthrough videos. Get new users to their first win in minutes. No video team. No production budget. No 8-hour editing sessions.

View use case
primary

Feature Announcement Video

Paste your release notes, feature doc, or product URL. Get a polished announcement video with motion graphics, captions, and your branding. Ready to share in minutes, not weeks.

View use case
product marketing manager

PMM Product Launch

Stop briefing agencies while your launch window closes. Create polished product launch videos in-house, same day, from recordings and docs you already have. No editing skills required.

View use case
primary

Sales Prospecting Video

Record a quick intro or paste your prospect's LinkedIn profile. Get a polished, captioned, branded video in under 5 minutes. No editing skills needed. Scale personalized outreach without losing the human touch.

View use case
hr

HR Employee Onboarding Video

New hires forget 90% of orientation by end of day one. Create engaging onboarding videos they can rewatch, absorb at their pace, and reference months later. Companies with strong video onboarding see 82% higher retention.

View use case
primary

LinkedIn Video

Turn a rough selfie recording or a blog post into a polished, captioned LinkedIn video in under 15 minutes. No editing skills required. Post consistently without becoming a full-time content creator.

View use case
primary

AI Explainer Video Maker

Turn product docs, landing pages, or rough recordings into polished explainer videos with motion graphics, voiceover, and captions. No animation skills. No agency. No $8,000 invoice.

View use case
Comparison

Dynamic AI Avatar Talking Head compared with the usual alternatives

This comparison uses workflow categories instead of unsupported named-competitor claims. The key difference is that ngram keeps the presenter, script, scenes, brand, and export path together.

CapabilityngramFilming workflowTemplate avatar toolPoint lip-sync tool
Presenter source options Pre-built avatars, team faces, generated presenters× Requires a real speaker~ Often starts from a fixed library~ Usually starts from one supplied face
Script connection Presenter speaks from the active video script× Script changes need another take~ Script may live outside the edit~ Clip generated apart from storyboard
Voiceover and lip sync Voiceover and mouth movement generated together× Captured during the shoot~ Depends on tool setup Core task for the tool
Brand, captions, and scenes Connected to the full ngram project~ Handled during post-production~ Often template-bound× Usually a separate clip asset
Variants and export Works with localization and multi-format export× Requires new filming or re-editing~ Varies by template and plan~ Needs another editor for final output
Pair with other features

Avatar talking heads work best inside the full video workflow

Use Dynamic AI Avatar Talking Head with the adjacent ngram features that handle script, voice, visuals, brand, motion, collaboration, and export.

Most paired

AI Voiceover

Generate the spoken track that drives the presenter's lip movement and scene timing.

Feature · 02

Script Generation

Draft the message first, then turn the approved script into an avatar-led clip.

Feature · 03

Brand Kit

Keep lower thirds, captions, colors, intros, outros, and motion style aligned around the presenter.

Feature · 04

AI Visuals

Add generated B-roll, product scenes, and backgrounds around the avatar section.

Feature · 05

Motion Graphics

Use callouts, lower thirds, transitions, and animated text to support what the presenter says.

Feature · 06

Multi-Format Export

Render the same avatar-led video for website, social, square, or vertical channels.

FAQ

Questions about Dynamic AI Avatar Talking Head

It creates a talking-head video where an avatar, approved face, or generated presenter speaks the script with synced lip movements.

Put your next script on camera

Choose the presenter source, add the script, generate synced speech, and keep the final video connected to the rest of your ngram workflow.

Use ngram to create an avatar-led talking-head video, then refine the script, scenes, captions, brand treatment, and export inside one project.

Presenter source, voiceover, captions, brand kit, and export stay in one project.