Avatar AI Video Maker by ngram
Add finished narration or describe the message, audience, tone, and channel for the avatar-led video
Video generation uses credits. Review your estimate in ngram. MP4 downloads require Basic or higher.
How credits work
What it does
Create presenter-led videos without scheduling another recording. Use a library avatar, generated protagonist, or approved team face, then adapt the project for product, training, or company updates.
Trusted by teams at
How it works
Start with the script, choose the presenter source, generate the talking-head delivery, then keep editing the rest of the video in ngram.
Paste approved narration or describe the message. ngram shapes the avatar script around the audience, tone, channel, and call to action before generation starts.
Script ready
Use a basic avatar, a generated protagonist, or an approved face from the workspace custom faces library when the video needs a familiar presenter.
Presenter selected
ngram pairs the script with AI voiceover, syncs the avatar's mouth movement to the lines, and places the presenter into the video project.
Lip sync generated
Add captions, lower thirds, product cutaways, music, translations, and export formats while the avatar scene remains part of the same editable project.
Ready to review
What it can do
The avatar is one presenter layer inside a full ngram video project. Script, voice, captions, brand, scenes, and exports stay connected.
Pick a pre-built avatar when a training, onboarding, explainer, or update video needs a presenter but no one is filming.
Describe the presenter role, tone, or audience and ngram can generate a synthetic protagonist for recurring avatar-led videos.
Learn more about AI avatarsUse faces stored in the workspace custom faces library so team-approved presenters can deliver new scripts without another recording session.
Generate narration from the script, choose a voice, and create lip movement that follows the avatar's spoken lines.
Learn more about AI voiceoverAdd burned-in captions, name labels, lower thirds, and section titles around the avatar scene with brand-kit styling.
Learn more about captionsKeep the avatar video tied to logos, colors, fonts, motion style, approved language, and editable scene structure.
Learn more about Brand KitBuilt for presenter-led business video
When it matters
Use an avatar AI video maker when the message needs a presenter, but filming would slow down training, support, sales, or product communication.
Turn SOPs, lesson outlines, and screen recordings into avatar-led training videos with a presenter intro, captions, and editable scenes.
Open AI video use caseUse an avatar presenter to welcome new hires, introduce handbook sections, and keep onboarding modules consistent across updates.
Open AI video use caseCreate leadership updates and company announcements with an avatar host, then add captions and brand controls for async teams.
Open AI video use caseOpen customer onboarding lessons with an avatar host before the walkthrough, product callouts, and next-step instructions begin.
Open AI video use caseAnswer repeated support questions with a short avatar explanation, then show the product steps with captions and screen visuals.
Open AI video use caseLet an avatar introduce the product story, then hand the middle of the video to screenshots, motion graphics, and product callouts.
Open AI video use caseUse an approved founder face or generated protagonist for product explainers when the message needs a human-style opening.
Open AI video use caseAdd an avatar-led recap before the product walkthrough so follow-up videos feel personal without asking reps to film every take.
Open AI video use casePair avatar narration with docs, URLs, or recordings when an explainer needs both a visible presenter and supporting visuals.
Open AI video use caseProduct stack
These ngram features carry the avatar from script to presenter delivery, captions, translation, editing, and brand control.
Use basic avatars, generated protagonists, or approved team faces as the presenter source for the avatar AI video maker.
Learn more about AI avatarsShape a prompt, doc, URL, deck, or recording into the lines the avatar will speak before the lip sync step runs.
Learn more about scriptsGenerate the narration the avatar speaks, switch voices, and keep the voice track editable inside the same video project.
Learn more about AI voiceoverBurn in captions under the avatar speaker so the presenter-led video still works when the viewer has sound off.
Learn more about captionsTranslate the script and captions, regenerate voiceover, and resync avatar lip movement for localized presenter variants.
Learn more about translationAdd lower thirds, section titles, product callouts, and branded overlays around the avatar presenter scene.
Learn more about motion graphicsEdit the script, captions, scenes, audio, and avatar placement with chat, canvas controls, script editing, or timeline edits.
Learn more about video editingApply the workspace's logo, colors, fonts, motion style, screenshot treatment, tone rules, and approved phrases.
Learn more about Brand KitMore tools
Use these tools when the avatar needs a stronger script, cleaner voice, captions, translation, or final editing.
Script and voice
Prepare the lines and narration before the avatar starts speaking.
Use the broader avatar generator when the job starts from AI avatars as a category rather than this exact avatar AI video maker keyword.
Open toolDraft the hook, body, scene notes, and CTA the avatar presenter should deliver.
Open toolGenerate the narration track that drives avatar delivery and lip movement.
Open toolStart with text and voiceover first, then use an avatar scene when the message needs a visible speaker.
Open toolPresenter polish
Frame the avatar with captions, text, gaze correction for real footage, and final video edits.
Add timed captions under avatar-led videos so the script is readable with sound off.
Open toolPlace lower thirds, role labels, section titles, and callouts around the avatar scene.
Open toolUse gaze correction on recorded talking-head footage when a real presenter looks away from the camera.
Open toolTrim, rearrange, and polish avatar scenes alongside the script, audio, captions, and timeline.
Open toolRelated presenter formats
Choose the avatar, spokesperson, talking-head, or presenter framing that matches the message.
Use a spokesperson framing when the avatar-led message needs to deliver a campaign, launch, update, or branded announcement.
Open toolUse a talking-head format when the presenter scene should stay close to camera with captions, voiceover, and brand treatment.
Open toolUse a presenter-led workflow when the script needs an on-screen guide plus cutaways, lower thirds, and supporting visuals.
Open toolSwitch to a UGC-style draft when the presenter should feel closer to a short social product explanation.
Open toolConvert
The avatar can present a script that starts from text, a doc, a URL, a deck, or a recording already used by the team.
Paste finished narration and keep the lines intact while ngram builds the avatar-led video around the script.
Open converterTurn notes, outlines, or rough copy into a storyboard that the avatar presenter can deliver.
Open converterUse a PDF brief, SOP, handout, or one-pager as source material for the avatar's explanation.
Open converterWho it is for
Avatar-led videos fit teams that repeat similar messages and need a presenter without scheduling new recordings every time.
Deliver onboarding, policy, and company update scripts with a consistent avatar presenter and branded captions.
See HR workflowsBuild instructor-style lessons from scripts and source docs while keeping avatar delivery, captions, and edits in one project.
See educator workflowsUse an avatar host for onboarding, feature education, and renewal videos before the product walkthrough begins.
See CS workflowsCreate repeatable presenter-led intros for demo follow-ups, proposal recaps, and objection-handling videos.
See sales workflowsAnswer recurring questions with an avatar explanation, then show the exact product steps with captions and callouts.
See support workflowsUse a generated protagonist or approved team face across launches, explainers, and enablement clips.
See PMM workflowsTurn founder scripts into presenter-led pitch, update, and explainer videos using an approved face or generated protagonist.
See founder workflowsAdd a presenter to API walkthroughs and integration guides while screen recordings and code callouts carry the details.
See DevRel workflowsIntegrations
Use live creation integrations to send approved scripts, docs, or source pages into the avatar AI video maker workflow.
WhenA script, training brief, or content request is approved in an upstream app.
ThenCreate an avatar-led ngram video draft with the script attached for presenter delivery.
WhenAn SOP, lesson, or internal comms doc reaches the avatar video step in n8n.
ThenSend the source into ngram so the script can become a presenter-led video project.
WhenAn AI agent has the audience, approved script, and presenter instructions ready.
ThenCall ngram through MCP so the avatar-led video can be generated and reviewed.
WhenA release note, help article, or product page should become a presenter-led video.
ThenSend the page into ngram from the browser and use it as context for the avatar's script.
Use these routes when avatar video creation needs to start from automations, agents, or browser capture.
Why ngram
The main choice is whether the avatar is the whole product or one scene inside a full video project.
| Compare | ngram | Avatar-first generator | Template video editor | Manual filming workflow |
|---|---|---|---|---|
| Workflow fit | Turns a script into an avatar-led video using basic avatars, generated protagonists, or approved faces from the team library. | Usually starts with an avatar library, a script box, and scene templates around the presenter. | Gives the user more hands-on control over text boxes, stock footage, and scene layouts. | Captures a real speaker, natural movement, and context a generated presenter may not match. |
| How ngram fits | Keeps voiceover, lip sync, captions, motion graphics, product cutaways, brand kit, and exports in the same editable project. | Works well when the final asset is mainly a talking avatar reading prepared lines. | Often requires the user to decide the script, storyboard, avatar placement, and timing by hand. | Requires scheduling, recording, retakes, lighting, audio checks, and another take when the script changes. |
| Best use | Fits training, onboarding, support, sales, product explainers, and internal updates where the presenter is one part of the story. | Can feel limiting when the same project also needs product footage, callouts, timeline edits, and source-based story planning. | Fits teams with editing time, but slows down repeatable presenter-led business videos. | Still works for high-stakes executive messages, while ngram fits repeatable scripted updates. |
FAQ
Still curious?
Use a basic avatar, generated protagonist, or approved team face, then finish the video with voiceover, lip sync, captions, brand controls, and editable scenes.
Start with the script. Keep the rest of the video editable in ngram.
Script, avatar, voice, captions
Follow a workflow from source material to a video you can review, share and make again.
Each recurring product question or revised answer
Give Claude the questions, approved answers and speaking roles. Review ngram’s Conversation plan, then create an exchange with distinct presenters and voices.
Approved questions and answers, speaker roles and supporting product factsA two-speaker product explanation in Conversation style
Ways to run: Claude
