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Giveaway of the day — EverDoc 2023
EverDoc 2023 esteve disponível como oferta em 30 de novembro de 2022
Muitos usuários têm problemas para localizar documentos, fotos e arquivos PDF importantes em seus computadores: há muitas unidades, partições e pastas. Essa é a razão pela qual a Abelssoft desenvolveu o EverDoc para Windows. Esta ferramenta busca automaticamente documentos e arquivos que estão distribuídos em diferentes pastas. Graças à conexão com a nuvem, também é possível digitalizar arquivos que estão no Dropbox, Google Drive Onedrive e na nuvem. O usuário pode pesquisar um nome de arquivo específico, data de criação e até palavras-chave. Além disso, uma conveniente pesquisa de texto completo está disponível.
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Requisitos do Sistema:
Windows 7/ 8/ 8.1/ 10/ 11
Publicado por:
AbelssoftPágina Oficial:
https://www.abelssoft.de/en/windows/helpers/everdocTamanho do arquivo:
75 MB
Licence details:
Lifetime
Preço:
$39.90
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Comentáriosrios do EverDoc 2023
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Colin - given that you can download "EverDoc 2023" and try it - for free - from the Abelssoft website, you could ascertain for yourself if it'll do this "index searching" (rather than 'full text searching').
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JayUU: It is reasonable to expect the software developer to describe the features of its program. In terms of productivity, there is a HUGE difference between searching text on demand, and having an index of text already prepared ahead of time.
What you are suggesting is that interested people download the software, install it, try it to see what happens. Then they are faced with the problem of uninstalling useless software--and then tracking down all the garbage software inevitably leave behind after being uninstalled.
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Can anyone confirm that this software uses index searching? Can't see anything about it on this site or on the Abelssoft site. Perhaps the developer can comment.
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Is this better than 'Search Everything' which is free?
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Doug R, -
"Everything" does not index file content; it strictly creates an index of the file names within a directory and is practically useless for anyone with a copious amount of data and non-descriptive file names like "resume 1, resume 2, resume 3," etc. If I need to find all of the resumes containing "laser or lasers" as well as "process or process development" and "engineer or engineering," amongst 160,000 resumes stored locally, Everything is about as useful as a third leg for a task like that.
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