Tuesday, August 19, 2025
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The PDF had not changed for 30 years: the generative AI turned everything upside down

The PDF is revamped thanks to AI and Acrobat Studio. Already available, the tool is supposed to make your data easier to use, modify and more accessible.

It centralizes all types of content (PDF documents, online items, videos, notes or reports) so that they can be easily viewed and exploitable. With a conversational interface fueled by AI, users can ask questions, get summaries, cross information and extract insights from several sources.

These documents can then be shared and offer, not only the final document, but also access to all the research documents and the sources used, to facilitate collaboration and transparency. Different types of assistants will be available, such as analyst, commercial or trainers models, each being able to adapt to the needs of the user.

AI arrives on PDF

As we told you, everything will be gathered in the same place: your PDF and the new AI assistant capable of synthesizing information, giving recommendations and even converting your content into infographics or posts for social networks, without leaving the studio.

Moreover, Acrobat Studio integrates Adobe Express, Adobe’s simplified graphic creation tool, allowing users to easily transform their research and drafts into visual content. Thanks to thousands of models and generative AI features, it is possible to manage the layout, graphic dressing or image integration to quickly produce structured documents.

For long -standing users, Acrobat Studio will keep all the classic Acrobat Pro functions, such as creation, publishing, annotation, organization and sharing of PDF.

Reliability despite the AI

Adobe has particularly paid attention to the reliability of his information. To make the AI Acrobat Assistant reliable, the group has designed a technology capable of analyzing in depth the content of any PDF, while associating each response with the exact extract from the document on which it is based.

As Abhigyan Modi points out: “The problem comes from the fact that LLMS (large -scale language models) work well when they have read the whole world … But when you give them a single document, they have only one source. They almost never say” I don’t know “. With this mechanism, the user can verify the accuracy of the responses and understand the precise context of the given information.

juniper.blair
juniper.blair
Juniper’s Seat-Geek side gig feeds her stadium-tour blog, which rates venues by bathroom-line math.
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