Overview

Significant Figures creates personalized videos from structured information: names, records, books, papers, citations, countries, metrics, counts, labels, and other prepared fields. The platform uses focused story patterns to turn those fields into short video assets.

Available video tools

A video tool is a focused entry point for creating a video from a specific kind of data. Current public tools are available for author and researcher workflows.

Templates

A template defines the sequence of scenes in a generated video. Templates are built from reusable scene components and describe which fields, timing, voiceover, and theme tokens belong together. Public template editing is not available today.

Scene components

Scene components are reusable video building blocks. Examples include stacks, radar comparisons, maps, funnels, percentile or rank reveals, ranked rows, stat counters, and outros. Components have data inputs, timing, theme tokens, and animation behavior.

Data fields

Structured fields drive what appears in each video. Examples include names, books, citations, countries, metrics, counts, labels, product records, account fields, and campaign results. Prepared data is reviewed before it becomes a generated video.

Render jobs

A render job turns a video tool, template, and data payload into a video file. This page describes the concept at a high level; public endpoint documentation is not exposed here.

Voiceover

Templates can include scene-level voiceover scripts. Voiceover text follows the same structured story pattern as the visual scenes.

Themes

Themes control visual tokens such as colors, typography, surfaces, accents, and motion tone. A theme keeps generated videos visually coherent while the source data changes.

Availability

Available now

Public author and researcher video tools.

In development

Custom builder workflows for structured-data videos.

Internal/admin-only

Builder and template editing surfaces used for template architecture work.

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