ngram<\/a> is designed to close that production gap. It is an AI video creation platform for product and marketing teams that turns existing source material into structured, branded videos. Instead of starting with an empty editing timeline, users provide context and assets, review an AI-generated plan, and refine the resulting video.<\/p>\nThis guide explains what ngram is, how it works, its main capabilities, and the product communication jobs it is best suited to.<\/p>\n
What is ngram?<\/h2>\n
ngram is an AI video generator focused on business communication. It helps teams create product demos, launch videos, feature announcements, tutorials, onboarding content, social clips, explainers, and sales-enablement videos.<\/p>\n
The product is better understood as a video production workflow than as a text-to-video model alone. Prompt-only generators generally concentrate on creating visual clips. ngram combines several stages of production in one workspace: interpreting source material, planning a narrative, generating a script and storyboard, creating or assembling visuals, adding voiceover and captions, applying brand rules, and supporting human edits before export.<\/p>\n
That distinction matters for product teams. A useful product video must do more than look polished. It must explain the right workflow, use accurate terminology, emphasize a relevant benefit, and lead the intended audience toward a next step. ngram asks for the audience, objective, style, length, and destination so that these decisions can shape the video from the beginning.<\/p>\n
How does ngram work?<\/h2>\n
ngram’s workflow moves from source material to an editable video project. The exact path depends on whether a team begins with a document, URL, prompt, image, or recording, but the underlying process is consistent.<\/p>\n
1. Bring the source material<\/h3>\n
Users can start with materials they already have, including text, documents, PDFs, presentations, URLs, images, and screen recordings. This reduces the need to rewrite an approved product message as a separate video brief.<\/p>\n
A product marketer might upload release notes. A customer education team might begin with a help article. A founder could provide a product page and a few notes. A sales team could use a recorded walkthrough of the product.<\/p>\n
2. Define the video’s job<\/h3>\n
The next step is to tell ngram who the video is for, what it should achieve, where it will be published, and how it should feel. These inputs influence the structure, pacing, tone, duration, voice, and aspect ratio.<\/p>\n
This is an important part of the process because the same source can support very different outputs. A detailed YouTube tutorial, a short LinkedIn announcement, and a sales follow-up may all explain the same feature, but they should not use the same edit.<\/p>\n
3. Review the script and storyboard<\/h3>\n
ngram drafts a script and scene plan before the final render. Users can review the proposed narrative, check how the source material has been interpreted, and adjust individual scenes.<\/p>\n
Keeping this planning layer visible gives the team a useful control point. It is faster to correct a product claim, reorder a chapter, or tighten a call to action in the storyboard than after every visual and voiceover segment has been finalized.<\/p>\n
4. Generate and refine the video<\/h3>\n
Once the plan is approved, ngram assembles the production layers. Depending on the project, these can include product footage, generated visuals, motion graphics, transitions, voiceover, music, captions, titles, callouts, and brand elements.<\/p>\n
The first output is still a draft. Users can refine the script, regenerate scenes, change visuals, adjust voice and pacing, or make edits through chat and more conventional editing controls.<\/p>\n
5. Export or publish<\/h3>\n
The completed video can be prepared for formats such as 16:9, 9:16, and 1:1. This supports web pages, sales presentations, YouTube, Shorts, and social feeds. ngram also presents integrations and automated workflows for teams that want video creation or publishing to connect with other tools.<\/p>\n
ngram’s main functionalities<\/h2>\n
The platform’s capabilities fall into six distinct parts of the production process.<\/p>\n
Multi-format content input<\/h3>\n
ngram can work from prompts and text as well as richer source material such as URLs, PDFs, decks, images, and recordings. The practical benefit is reuse: information that has already been approved can become the foundation of the video instead of being manually transferred into a new script.<\/p>\n
AI script and storyboard generation<\/h3>\n
The platform converts source content into a narrative and scene sequence. For a feature announcement, that might mean a hook, the user problem, the new workflow, its benefit, and a call to action. For a tutorial, the structure may be a sequence of steps or chapters.<\/p>\n
The script and storyboard also make review easier. Product, marketing, legal, and brand stakeholders can assess the message before the team commits to the final render.<\/p>\n
Visuals, animation, and motion graphics<\/h3>\n
ngram can combine supplied product media with generated visuals and motion design. Its toolkit includes scene backgrounds, supporting imagery, title cards, lower thirds, transitions, labels, and UI callouts. These elements help explain features that are difficult to communicate through an unedited screen capture alone.<\/p>\n
AI voiceover, captions, and audio<\/h3>\n
Voiceover can be generated from the approved script, while captions follow the narration and can be styled for the brand. Background music and audio balancing add another production layer. Together, these features make it possible to produce a narrated explainer without separately coordinating a voice actor, captioning tool, and audio editor.<\/p>\n
Teams should still review pronunciation, product names, pacing, and accessibility. A technically correct script can sound unnatural when read aloud, and specialist terminology may need manual direction.<\/p>\n
Human-controlled editing<\/h3>\n
ngram is not a one-click black box. Users can edit the script, ask for changes in natural language, regenerate a scene, swap an image, and refine the result through editing controls. This combination is useful because AI can accelerate the first draft while the product team remains responsible for accuracy and emphasis.<\/p>\n
Brand, format, and distribution controls<\/h3>\n
A brand kit can carry logos, colors, fonts, tone, and other creative rules across projects. Videos can then be adapted to different aspect ratios and channels. ngram also describes integrations for publishing and automation, including YouTube and workflow tools, although teams should confirm that the integrations and production features they need are available on their chosen plan.<\/p>\n
What can product teams create with ngram?<\/h2>\n
ngram’s strongest use cases begin with a message or product experience that already exists but has not yet been shaped into video.<\/p>\n
\n- Product demos and walkthroughs:<\/strong> Turn product pages, screenshots, or screen recordings into a guided explanation with chapters, zooms, callouts, narration, and captions.<\/li>\n
- Feature announcements and changelog videos:<\/strong> Convert release notes, PRDs, or specifications into a concise narrative built around the user benefit.<\/li>\n
- Customer onboarding and tutorials:<\/strong> Transform help documents, SOPs, and recorded workflows into structured learning content.<\/li>\n
- Product launches and explainers:<\/strong> Combine positioning, product visuals, and a call to action in a video suitable for a landing page, launch email, or presentation.<\/li>\n
- Sales enablement:<\/strong> Create reusable demos, follow-up videos, objection-handling content, and persona-specific explanations.<\/li>\n
- Marketing and social content:<\/strong> Reframe a core message for landscape, square, or vertical distribution without rebuilding the concept from scratch.<\/li>\n<\/ul>\n
These categories are related, but they solve different communication problems: demonstration shows how the product works; education helps someone succeed with it; launch content creates awareness; and enablement helps a buyer or seller progress a decision.<\/p>\n
How we used ngram for a UXPin sales demo<\/h2>\n
At UXPin, we used ngram to create an online sales demo organized into multiple chapters. We supplied screen recordings of the UXPin platform, giving ngram real product footage to work with rather than asking it to invent the interface.<\/p>\n
ngram helped turn those recordings into a more complete video through animation, editing, and voiceover. The result illustrates where the platform can be most useful: the team retained control of the underlying product story and source material, while ngram supported the production work needed to make the experience coherent and presentable.<\/p>\n
The multi-chapter format was particularly appropriate for a sales demo because viewers could follow a deliberate progression rather than watch one long, unstructured recording. For other teams, the same approach could be applied to onboarding modules, feature tours, training sequences, or a library of role-specific demos.<\/p>\n
Where ngram fits – and what teams should plan for<\/h2>\n
ngram is likely to be most valuable when a team produces video repeatedly, has reliable source material, and wants to shorten the path from product knowledge to a publishable draft. It can reduce coordination across scripting, storyboarding, voiceover, captioning, motion graphics, and formatting.<\/p>\n
It does not remove the need for editorial judgment. Product claims must be verified, confidential information should not be uploaded without the appropriate approval, generated visuals need review, and brand teams may want guardrails for voice and imagery. Teams should also assess credit usage, export resolution, model access, collaboration requirements, and the availability of specific integrations when choosing a plan.<\/p>\n
The best operating model is human-directed production: give the system accurate source material and a clear audience, review the narrative early, then use AI to accelerate the assembly and revision work.<\/p>\n
From product experience to product story<\/h2>\n
Product teams increasingly need to create and communicate at the same pace. Tools such as UXPin help teams design, prototype, and validate realistic product experiences; ngram helps turn approved product material and recordings into videos that explain those experiences to customers, buyers, and internal teams.<\/p>\n
ngram’s central idea is straightforward: begin with the knowledge and assets the team already has, let AI assemble a structured first draft, and preserve human control over the final story. For organizations where video demand has outgrown the traditional production queue, that is a practical model worth evaluating.<\/p>\n
Frequently asked questions about nGram<\/h2>\nIs ngram an AI video generator?<\/h3>\n
Yes. ngram is an AI video creation platform that combines script generation, storyboarding, visuals, voiceover, captions, motion graphics, branding, editing, and export in one workflow.<\/p>\n
What inputs can ngram use to create a video?<\/h3>\n
ngram can work from prompts, text, documents, PDFs, presentation decks, URLs, images, and screen recordings. Available workflows may vary by feature and plan.<\/p>\n
Can ngram turn a screen recording into a product demo?<\/h3>\n
Yes. Screen recordings can be used as the foundation for product demos, tutorials, and feature walkthroughs, with editing, animation, voiceover, captions, and brand treatment added around the footage.<\/p>\n
Does ngram create scripts and storyboards?<\/h3>\n
Yes. It can interpret the supplied source, draft a script, and organize the content into scenes or chapters for review before the final video is rendered.<\/p>\n
Can ngram add AI voiceovers and captions?<\/h3>\n
Yes. ngram supports generated narration and timed captions, along with music and other audio controls. Teams should review names, technical terminology, pronunciation, and pacing before publishing.<\/p>\n
Can ngram make videos that match a company’s brand?<\/h3>\n
ngram provides brand-kit controls for elements such as logos, colors, fonts, tone, and visual direction. This can improve consistency across videos and creators.<\/p>\n
Can you edit an ngram video after it is generated?<\/h3>\n
Yes. Users can revise scripts, request changes in natural language, regenerate scenes, replace assets, and use editing controls to refine the draft.<\/p>\n
Who is ngram best suited for?<\/h3>\n
ngram is aimed at product, product marketing, growth, sales, customer success, support, training, founder, and agency teams that need to turn existing business content into video regularly.<\/p>\n
Does ngram support different video formats?<\/h3>\n
ngram supports common landscape, vertical, and square formats, making it possible to prepare versions for websites, presentations, YouTube, Shorts, and social channels.<\/p>\n","protected":false},"excerpt":{"rendered":"
Video is one of the clearest ways to explain a digital product, but producing it can become a project of its own. A team may already have the raw ingredients – a product brief, release notes, screenshots, a web page, or a screen recording – and still need someone to turn them into a script,<\/p>\n","protected":false},"author":231,"featured_media":60557,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-60555","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog"],"yoast_title":"","yoast_metadesc":"Learn what nGram is, how it works, and how product teams can turn existing content into product demos, launch videos, explainers, and tutorials.","acf":[],"yoast_head":"\n
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