TapVid

TapVid builds editable motion graphics explainer videos from scripts, screenshots, URLs and brand assets, keeping source images, numbers and wording intact. It suits teams producing product, training and marketing video in volume.

TapVid is a web-based engine that turns scripts, screenshots, URLs, documents, audio and brand assets into motion graphics explainer videos. Its central promise is fidelity to the source: images, logos, numbers, specs and written copy are placed on screen as supplied instead of being redrawn or reworded by a generative model. That makes it a different proposition from text-to-video generators that invent footage, and closer to an AI-driven motion graphics editor for people who cannot afford factual drift. The workflow is a visible sequence rather than a single prompt box. A user supplies a prompt and assets, reviews a generated outline, confirms the script, renders, and then edits. Each stage can be reshaped, including individual shots and elements directly on the frame, where items can be reordered, resized, repositioned or rewritten by prompt. Every change is stored as a version that can be rolled back. A Brand Kit applies colors, logo, fonts and terms automatically, so a series keeps the same typography and motion. Voiceover comes from multilingual text to speech in many voices, or from uploaded audio, and the soundtrack is timed so music ducks under speech. Existing talking-head footage can be overlaid with charts, labels and captions without covering the face. A Remix mode copies the structure and pace of a reference video while swapping in new content, and batch or series work can be driven through an API and MCP. Output is an MP4 or a read-only share link, with watermark removal listed as coming soon. The intended audience is teams that ship video repeatedly: e-commerce sellers with many SKUs, SaaS and hardware companies updating product explainers after releases, agencies handling revision rounds, educators localizing courses, internal enablement groups, and brand marketers who want a quick first cut. Individual hobbyists chasing cinematic generated footage are better served elsewhere. The homepage names Amazon, Alibaba, ByteDance, the University of Cambridge and Imperial College London among the teams using it.