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A Text-Native Interface for Generative Video Authoring

arXiv 2603.09072 ↗First posted 10 Mar 2026cs.HC cs.AIcited by 0

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Abstract (arXiv)

Everyone can write their stories in freeform text format -- it's something we all learn in school. Yet storytelling via video requires one to learn specialized and complicated tools. In this paper, we introduce Doki, a text-native interface for generative video authoring, aligning video creation with the natural process of text writing. In Doki, writing text is the primary interaction: within a single document, users define assets, structure scenes, create shots, refine edits, and add audio. We articulate the design principles of this text-first approach and demonstrate Doki's capabilities through a series of examples. To evaluate its real-world use, we conducted a week-long deployment study with participants of varying expertise in video authoring. This work contributes a fundamental shift in generative video interfaces, demonstrating a powerful and accessible new way to craft visual stories.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 5 of its 28 references that are in the map. First posted on arXiv 10 Mar 2026.

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5 of 28 references.

References · 5

  1. 2025FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Spacecited by 960
  2. 2019Text-based Editing of Talking-head Videocited by 102
  3. 2024LAVE: LLM-Powered Agent Assistance and Language Augmentation for Video Editingcited by 47
  4. 2023AVscript: Accessible Video Editing with Audio-Visual Scriptscited by 19
  5. 2025Compositional Structures as Substrates for Human-AI Co-creation Environment: A Design Approach and A Case Studycited by 6

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