MagicCopy: Bring my data along with me beyond boundaries of apps
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arXiv
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| Format: | Preprint |
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2026
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| author | Vaithilingam, Priyan Glassman, Elena L. Riche, Nathalie Henry Ramos, Gonzalo Inala, Jeevana Priya Wang, Chenglong |
| author_facet | Vaithilingam, Priyan Glassman, Elena L. Riche, Nathalie Henry Ramos, Gonzalo Inala, Jeevana Priya Wang, Chenglong |
| contents | People working with data often move their data across multiple applications, because they rely on these apps' complementing user experiences to best complete their tasks. Since traditional copy-and-paste approaches do not accommodate diverse table representations adopted by different apps, users spend considerable effort to reconstruct data formats and visual representations, making cross-app workflows costly. For example, when transferring a spreadsheet table with conditional formatting to a markup document, users spend substantial time translating its structure into appropriate tags and manually reformat color. This paper introduces MagicCopy, an AI-powered cross-app copy-and-paste, leveraging source and target contexts and user-specified instructions in natural language to automatically extract, parse, transform, and (re)format data from one app to another. In a study with sixteen participants, users quickly learned and applied MagicCopy to move data across three pairs of tools. Participants further explored diverse applications of MagicCopy to support more streamlined crossed-application interaction in their workflows. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_04307 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | MagicCopy: Bring my data along with me beyond boundaries of apps Vaithilingam, Priyan Glassman, Elena L. Riche, Nathalie Henry Ramos, Gonzalo Inala, Jeevana Priya Wang, Chenglong Human-Computer Interaction People working with data often move their data across multiple applications, because they rely on these apps' complementing user experiences to best complete their tasks. Since traditional copy-and-paste approaches do not accommodate diverse table representations adopted by different apps, users spend considerable effort to reconstruct data formats and visual representations, making cross-app workflows costly. For example, when transferring a spreadsheet table with conditional formatting to a markup document, users spend substantial time translating its structure into appropriate tags and manually reformat color. This paper introduces MagicCopy, an AI-powered cross-app copy-and-paste, leveraging source and target contexts and user-specified instructions in natural language to automatically extract, parse, transform, and (re)format data from one app to another. In a study with sixteen participants, users quickly learned and applied MagicCopy to move data across three pairs of tools. Participants further explored diverse applications of MagicCopy to support more streamlined crossed-application interaction in their workflows. |
| title | MagicCopy: Bring my data along with me beyond boundaries of apps |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2604.04307 |