The AI Video Converter for Any Content
Text, PDFs, URLs, screenshots, audio, slides - ngram turns whatever you have into polished, branded video. Pick your input, review the AI storyboard, and export in any format.
- Accepts 10+ input types including text, docs, URLs, and audio
- AI storyboard with scenes, transitions, and voiceover built in
- Brand Kit enforcement across every video automatically
video converter
10+
Input types accepted
5 min
Average time to finished video
3 formats
Landscape, square, vertical from one input
Trusted by teams at
Upload any content to ngram - text, PDFs, URLs, screenshots, audio, or slides - and the AI analyzes your input, builds a storyboard with scenes and transitions, and generates a branded video. Review the plan, adjust anything, and export in 16:9, 1:1, or 9:16 format in under 5 minutes.
Your Content Library Is Full of Video-Worthy Material Sitting as Text and Docs
Every team has content that should be video: blog posts, product docs, release notes, help articles, slide decks, customer FAQs. But turning each piece into video traditionally means scripting, recording, editing, and branding from scratch every time. Most content never makes it to video because the production cost per piece is too high.
ngram is one video converter for every input type - text, docs, URLs, images, audio, and slides all go in, branded video comes out.
How it works
Upload any content
Paste text, upload a PDF, drop screenshots, link a URL, or import audio and slides. ngram accepts 10+ input types.
AI analyzes and plans
ngram reads your content, identifies key points, and builds a storyboard with scenes, transitions, visuals, and voiceover timing.
Review and customize
Edit the storyboard, adjust scenes, swap visuals, refine narration, and apply your Brand Kit for consistent styling.
Export in any format
Download in 16:9, 1:1, or 9:16. One input becomes video for docs, social, mobile, and presentations.
Who is this for
When to use this
Marketing has a blog post, a PDF whitepaper, and a product screenshot set - all need video versions by end of week
→ Upload each piece to ngram, get three branded videos in under 30 minutes total
View use casePM wrote release notes and wants a LinkedIn video announcement before the next standup
→ Paste the release notes text, review the AI storyboard, export a 60-second branded video
View use caseSales needs a custom walkthrough video for a prospect using existing deck slides and screenshots
→ Upload the slides and screenshots, add narration, export a personalized video in 10 minutes
View use caseWhat goes in, what comes out
Source input
Any Content
Size limit: 500 MB per file
ngram accepts text, PDFs, Word docs, PowerPoint slides, images, audio files, screen recordings, and URLs. Content with clear structure and headings produces the best storyboards.
Output
Length: 15 seconds to 30 minutes
Formats
Resolutions
Export as
How ngram compares to Synthesia, Pictory, InVideo, Lumen5
| Feature | ngram | Manual | Synthesia, Pictory, InVideo, Lumen5 |
|---|---|---|---|
| Input types accepted | Text, PDF, URL, slides, images, audio, screen recordings | ||
| Time per video | Under 5 minutes | ||
| Brand consistency | Brand Kit applied to every video automatically | ||
| AI storyboard planning | Context-aware scenes from any content type | ||
| Multi-format export | 16:9, 1:1, 9:16 from one project | ||
| Learning curve | Same workflow for every input type |
Every piece of content your team creates - blog posts, product documentation, release notes, slide decks, help articles, customer FAQs - is a video waiting to happen. The problem has never been a lack of source material. The problem is that converting each content type into video has traditionally required a different workflow, a different tool, and hours of production time per piece.
One AI video converter for every input type
ngram accepts text, PDFs, URLs, PowerPoint slides, images, screenshots, audio files, and screen recordings through a single interface. Upload your content and the AI reads, analyzes, and builds a storyboard tailored to that input type. A blog post becomes a narrated explainer. A PDF becomes a visual walkthrough. Screenshots become a product demo. The workflow is the same regardless of what goes in.
How AI content-to-video conversion works
Traditional video converters change file formats - MP4 to WebM, MOV to AVI. ngram converts content into video. The AI identifies the key messages in your input, structures them into scenes, selects visuals that match the content, times transitions to maintain flow, and generates voiceover narration. The output is not a reformatted file - it is a new video created from your content.
Scale video production without scaling your team
Most teams publish 5-10x more written content than video content because video production is slow and expensive. ngram closes that gap. A marketing team that publishes 8 blog posts per month can produce 8 corresponding video versions in the same week. A product team that ships weekly release notes can have video announcements ready the same day. The bottleneck shifts from production capacity to content strategy.
Brand Kit keeps every video consistent
When different people use different tools to produce video from different inputs, brand consistency disappears. ngram's Brand Kit applies your colors, fonts, logos, and visual style to every video regardless of who created it or what input type they used. A video from a blog post looks like it came from the same team as a video from a slide deck.
Supported input types
ngram converts text (pasted or typed), PDFs, Word documents, PowerPoint and Google Slides, URLs and web pages, blog posts, images and screenshots, audio files (MP3, WAV), screen recordings (MP4, MOV, WebM), release notes, help center articles, and product documentation. Each input type has a dedicated conversion workflow optimized for that content structure.
Convert any content into video today
Upload text, docs, URLs, images, or audio. Get a branded, polished video in minutes. One tool for every input type your team produces.
No credit card required - Accepts 10+ input types