ngram - 2026 Pricing, Features, Reviews & Alternatives

ngram is a cloud-based, web-based agentic AI video platform that transforms raw inputs — text prompts, screen recordings, PDFs, URLs, documents, and images — into finished, on-brand videos. The platform covers the full production pipeline: AI script writing, storyboard generation, natural voice narration, motion graphics, captions, brand styling, and multi-format export. Users review scripts and storyboards at a checkpoint before rendering, then iterate using plain-language commands without rebuilding scenes from scratch. Two agent modes are available: a fully automated path and a storyboard-checkpoint path that keeps teams in control of creative direction before committing to a render.

Core editing capabilities include smart zoom, auto-cut of dead air, cursor smoothing, callouts, and step labels for screen recordings; Eye Contact AI for frame-by-frame gaze correction in talking-head videos; avatar video generation with a face library; and code-driven motion graphics with professional animations. A brand kit — importable automatically from a URL or PDF — applies consistent styling across all outputs. A single source asset generates variants for multiple channels and aspect ratios (16:9, 9:16, 1:1), with direct publishing to LinkedIn and integrations via Zapier, Make.com, n8n, and an MCP server for AI agent workflows. Multilingual voiceover and caption generation (16 caption styles) extend reach across markets.

ngram targets product marketing, growth, sales enablement, customer success, and developer advocate teams at SaaS companies, as well as marketing agencies, educators, e-learning creators, healthcare organizations, financial services teams, and HR and internal communications teams. A free tier supports individuals and small teams; paid plans include unlimited manual editing and exports. Enterprise pricing is scoped by shipped product updates rather than seats, and unused plan updates roll over so teams retain capacity.