Ngram

Ngram analyses your input material and produces a full video script with scene by scene storyboard directions. The AI accounts for audience, goal, and tone. You can rewrite, rearrange, and refine every line before any credits are consumed. This eliminates the back and forth that typically burns hours in a traditional production workflow.

Upload a rough product walkthrough and Ngram automatically cleans it up. The platform applies cursor smoothing, smart zoom on active UI elements, dead air trimming, click emphasis, and auto generated step labels. For product managers and customer success teams shipping tutorials weekly, this replaces what would normally be a lengthy Camtasia or Premiere session.

Drop a set of PNG, JPG, or WebP screenshots and Ngram classifies each capture, applies smart zoom on UI elements, and generates a narrated walkthrough. Callouts, numbered labels, and photomotion effects are timed to the voiceover. Captions position themselves to avoid blocking interface elements. One render produces landscape, square, and vertical formats from a single screenshot set.

When speakers record talking head clips while reading from notes, their gaze drifts off camera. Ngram's Eye Contact AI corrects this frame by frame, redirecting glances toward the lens so the presenter appears to address the viewer directly. It accepts MP4, MOV, and WebM files and works best with a single, mostly front facing face. For investor pitches and sales videos, this turns a rushed first take into confident delivery.

Paste any webpage URL and Ngram fetches the content, strips navigation, and generates a complete video with script, visuals, voiceover, and captions. It works with product pages, blog posts, release notes, and landing pages. Marketing teams producing weekly content can convert existing web assets into video without writing a single brief from scratch.

Upload an MP3, WAV, M4A, or AAC file and Ngram isolates speech while stripping room tone, fan hum, keyboard taps, and traffic noise. Users compare the original and cleaned versions side by side before committing. The cleaned track flows directly into transcription, captions, or the finished video edit within the same project, removing the need for a separate audio tool.