Polished, on-brand AI videos for product and marketing teams.
Grade: C — Score: 65/100
ngram leverages advanced AI technology to streamline video creation, allowing users to convert various content types into polished videos. By inputting documents, URLs, and other media, ngram organizes and transforms this information into coherent narratives tailored to specific audiences.
The platform simplifies the workflow by enabling users to define their video requirements, such as audience, goal, style, and length, ensuring that the final product meets their needs without the typical production overhead. Users can preview scripts and storyboards, making it easy to iterate and refine content before finalizing the video.
With built-in features like auto-generated visuals, smart editing tools, and brand consistency options, ngram minimizes risks associated with video production. It empowers teams to create high-quality videos quickly, enhancing communication and marketing efforts across various channels.
Free: $0
Basic: $29/month or $23.20/month billed annually
Plus: $59/month or $47.20/month billed annually
Pro: $299/month or $239.20/month billed annually
Custom work: $1,000 one-time
Consider switching to Lumen5: Lumen5 offers similar automated video creation features but may have different customization options.
ngram is better suited to source-driven business videos built from prompts, docs, URLs, decks, screenshots, recordings, and scripts. Synthesia is a stronger fit when the core deliverable is an avatar-led presenter video for training or corporate communication. ngram focuses more on script planning, storyboard structure, brand treatment, captions, voiceover, and multi-format exports from business source material.
ngram and Runway solve different video problems. ngram is built around message-led business videos, where the user starts from source material and needs a planned, branded output. Runway is a stronger fit for cinematic generative video, visual experimentation, and stylized short clips.
Descript is stronger when the starting point is recorded audio or video and the main task is transcript-based editing. ngram is stronger when the starting point is a brief, document, URL, deck, screenshot, or product material that needs to become a new video draft. ngram plans the script and storyboard first, then adds visuals, voiceover, captions, motion graphics, and brand treatment.
Loom is simpler when the job is recording and sharing a quick screen walkthrough. ngram is a better fit when the walkthrough needs to become a polished video with script structure, narration, captions, visual direction, brand styling, and export variants. Teams that only need fast async recording may not need ngram's heavier generation workflow.
Yes. ngram supports source-to-video workflows from prompts, PDFs, URLs, decks, recordings, screenshots, and other source material. The AI video generator turns that input into a script and scene plan before rendering, so teams can review the message before committing to the final video.
Yes. ngram includes a Brand Kit feature for logos, colors, fonts, motion style, image style, voice, tone, approved phrases, blocked phrases, and CTAs. The brand settings carry into generated videos, captions, voiceover direction, motion graphics, and supporting assets.
Yes. ngram's Multi-Format Export supports MP4, GIF, WebM, PNG, JPG, and PPTX. That makes it useful when one video project needs to produce social cuts, web assets, sales material, support visuals, or presentation-ready output from the same source project.
ngram's terms assign paid-plan outputs to the user, subject to the terms and acceptable use rules, and allow paid users to modify, publish, and commercialize those outputs. Free-tier outputs are different: ngram retains ownership and grants only a personal, non-commercial license. Buyers planning commercial use should use a paid plan and review the terms.
ngram's terms say paid-plan customer content is not used to train, fine-tune, or improve the underlying AI models used for generation. Free-tier customer content may be used to improve and train models and the service, but free users can opt out prospectively from account settings. That distinction matters for teams testing sensitive product, customer, or internal material.
Teams should check whether they need source-driven business videos or a different kind of video tool. ngram is a strong fit for product demos, launch videos, sales enablement, onboarding, support, training, and branded marketing videos. It is less ideal if the priority is cinematic generative clips, avatar-first training content, or enterprise procurement that requires public SOC 2, SSO, and security certification evidence before evaluation.
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