# AVscript: Accessible Video Editing with Audio-Visual Scripts

arXiv: https://arxiv.org/abs/2302.14117 · HTML: https://mlsanity.com/paper/2302.14117/

## Key facts

- Cited by 19 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 Feb 2023.

## Built on by (most cited first, 19 of 19)

- [LAVE: LLM-Powered Agent Assistance and Language Augmentation for Video Editing](https://mlsanity.com/paper/2402.10294/) (2024)
- [Morae: Proactively Pausing UI Agents for User Choices](https://mlsanity.com/paper/2508.21456/) (2025)
- [Long-Form Answers to Visual Questions from Blind and Low Vision People](https://mlsanity.com/paper/2408.06303/) (2024)
- [EditDuet: A Multi-Agent System for Video Non-Linear Editing](https://mlsanity.com/paper/2509.10761/) (2025)
- [ExpressEdit: Video Editing with Natural Language and Sketching](https://mlsanity.com/paper/2403.17693/) (2024)
- [Vid2Coach: Transforming How-To Videos into Task Assistants](https://mlsanity.com/paper/2506.00717/) (2025)
- [DreamStruct: Understanding Slides and User Interfaces via Synthetic Data Generation](https://mlsanity.com/paper/2410.00201/) (2024)
- [EditScribe: Non-Visual Image Editing with Natural Language Verification Loops](https://mlsanity.com/paper/2408.06632/) (2024)
- [Lotus: Creating Short Videos From Long Videos With Abstractive and Extractive Summarization](https://mlsanity.com/paper/2502.07096/) (2025)
- [Surfacing Variations to Calibrate Perceived Reliability of MLLM-generated Image Descriptions](https://mlsanity.com/paper/2507.15692/) (2025)
- [Prompt-Driven Agentic Video Editing System: Autonomous Comprehension of Long-Form, Story-Driven Media](https://mlsanity.com/paper/2509.16811/) (2025)
- [A Benchmark and Multi-Agent System for Instruction-driven Cinematic Video Compilation](https://mlsanity.com/paper/2604.10456/) (2026)
- [Multi-Branch Collaborative Learning Network for Video Quality Assessment in Industrial Video Search](https://mlsanity.com/paper/2502.05924/) (2025)
- [Vidmento: Creating Video Stories Through Context-Aware Expansion With Generative Video](https://mlsanity.com/paper/2601.22013/) (2026)
- [AltCanvas: A Tile-Based Image Editor with Generative AI for Blind or Visually Impaired People](https://mlsanity.com/paper/2408.10240/) (2024)
- [Making Videos Accessible for Blind and Low Vision Users Using a Multimodal Agent Video Player](https://mlsanity.com/paper/2602.04104/) (2026)
- [A Text-Native Interface for Generative Video Authoring](https://mlsanity.com/paper/2603.09072/) (2026)
- [How Do Novice Describers Edit AI Drafts? The Role of Draft Quality in Audio Description Authoring](https://mlsanity.com/paper/2605.05348/) (2026)
- [Autoregressive Modeling of Film with Applications in Video Montage](https://mlsanity.com/paper/2607.14645/) (2026)

## Abstract (arXiv)

Sighted and blind and low vision (BLV) creators alike use videos to communicate with broad audiences. Yet, video editing remains inaccessible to BLV creators. Our formative study revealed that current video editing tools make it difficult to access the visual content, assess the visual quality, and efficiently navigate the timeline. We present AVscript, an accessible text-based video editor. AVscript enables BLV creators to edit their video using a script that embeds the video's visual content, visual errors (e.g., dark or blurred footage), and speech. BLV creators can use AVscript to efficiently navigate between scenes and visual errors or to locate objects in the frame or spoken words of interest. A comparison study (N=12) showed that AVscript significantly lowered BLV creators' mental demands while increasing confidence and independence in video editing. We further demonstrate the potential of AVscript through an exploratory study (N=3) where BLV creators edited their own footage.