From Templates to Text-Prompts: Understanding the Evolution and Legacy of the “Old Version” of InVideo AI

In the fast-paced world of digital content creation, software tools evolve at a dizzying speed. Few platforms illustrate this transformation as vividly as InVideo. When creators search for the “old version” of InVideo AI, they are often referring to one of two things: the classic, template-driven InVideo Studio interface or early iterations of the text-to-video AI generator.

Understanding how the platform shifted from a traditional manual video editor to an AI-driven powerhouse sheds light on why some creators still look back at the older workflow—and how the modern version has tried to bridge the gap.

1. The Classic Era: InVideo Studio

Before generative AI dominated the video software landscape, InVideo was widely known as InVideo Studio. This legacy version was defined by a structured, hands-on approach:

• Template-First Design: Users would browse a massive library of pre-designed templates tailored for specific platforms (YouTube, Instagram, Facebook, ads, etc.).
• Manual Timeline Control: Every text box, transition, overlay, and stock clip was dragged, dropped, and adjusted manually on a multitrack timeline.
• Granular Customization: Editors had total control over every second of animation, making it a favorite for agencies and marketers who wanted pixel-level precision without stepping up to heavy desktop software like Adobe Premiere Pro.

While powerful, the classic workflow required significant time. Crafting a polished video meant searching for stock footage piece by piece, matching audio tracks, syncing voiceovers manually, and adjusting text animations frame by frame.

2. The AI Revolution: Why the Paradigm Shifted

As large language models and generative media tools matured, InVideo introduced its AI-powered generation engine. Instead of forcing creators to hunt for templates and footage manually, the new workflow flipped the script:

• Prompt-to-Video: Users could type a simple text prompt (