SumsItUp

SumsItUp is an AI summarizer tool. An iOS summarizer that condenses links, text and concepts into a chosen format (paragraph, list, poem), language and style, with optional read aloud and share out.

SumsItUp is an iOS app that turns web links, pasted text and broad concepts into condensed summaries shaped by the reader's own settings. Rather than producing one fixed digest, it asks for three decisions before it runs: the language, the format, and a style modifier. The result is less a generic abstract and more a custom encyclopedia entry written to a specification. The format menu is wider than most summarizers allow. Output can arrive as a paragraph, a list, or something more unusual such as a poem, which makes the tool useful for adapting the same source material to different audiences. Modifiers add a second layer of control: built in styles are available, and users can write their own instruction to steer emphasis, for example asking for a breakdown that focuses on a particular metric or one that flags privacy implications. Sources in more than 90 languages can be translated as part of the same pass. In practice the app slots into a share sheet workflow. A page opened in Safari, Chrome or a news reader is sent to SumsItUp, options are set, and a summary comes back. From there the text can be read on screen or spoken aloud through text to speech, and passed on to Messages, WhatsApp, Facebook, LinkedIn or other installed apps. The company describes the underlying stack as OpenAI models running on Firebase, with Listnr handling the voice output. It suits people who process a lot of reading on a phone: teachers rewriting news for different grade levels, analysts working through long financial reports, students and professionals who want the gist while commuting. Compared with browser based summarizers, the appeal is the mobile share flow and the granular style control. The tradeoff is depth: this is a phone first utility, not a document workspace or research database, and anyone needing team features or desktop reading environments will look elsewhere.