LinuxAlternative
digiKamLinux vs ACDSeeWindows

digiKam como alternativa Linux ao ACDSee

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Nossa avaliação

digiKam can serve as a solid Linux replacement for ACDSee for users who need fast browsing, robust tagging, rating and RAW editing. It matches the core DAM functions and adds powerful search and import tools, but it lacks built‑in facial recognition and the polished, single‑click viewer speed some ACDSee fans expect. If you are comfortable with a KDE‑style interface and don’t rely heavily on face detection, digiKam will cover most day‑to‑day photo management tasks on Linux.

Cobertura de recursos78%
Licença
GPL-2.0+
Preço
Grátis
Versão mais recente
9.1.0 (7 de junho de 2026)
Avaliação
—
Captura de tela do digiKam
digiKam Batch Queue Manager

O que funciona igual

  • Thumbnail grid browsing with fast preview
  • Tagging, rating and label system for organization
  • Non‑destructive RAW editing and color adjustments
  • EXIF/IPTC/XMP metadata handling and batch operations

O que muda

  • No native facial recognition; only manual tagging
  • Different UI paradigm (KDE/Qt) versus ACDSee's Windows‑centric layout
  • Catalog is album‑based rather than a single database file
  • Export options focus on common image formats; ACDSee's proprietary catalog export is not supported

Abrindo seus arquivos do ACDSee

digiKam opens standard image formats and RAW files that ACDSee can read. ACDSee’s proprietary catalog files (.db) are not directly importable, so you will need to rebuild the library in digiKam by re‑importing the original photos. Exporting edited images works fine, but any ACDSee‑specific sidecar files will need manual handling.

Trocando o ACDSee pelo digiKam, passo a passo

  1. Install digiKam from your distro repository or Flathub.
  2. Copy your photo folders to a location accessible from Linux.
  3. In digiKam, run the Import wizard and point it to the folders; configure rules to preserve existing tags if you have sidecar files.
  4. Re‑create any collections or albums manually, using tags and ratings to mirror ACDSee organization.
  5. If you have sidecar XMP files, enable digiKam’s XMP import to retain metadata.
  6. Test the workflow: browse, edit, and export a few images to confirm everything works.

Principais recursos do digiKam

  • Importação direta de câmeras, cartões SD e unidades USB com regras configuráveis
  • Sistemas avançados de marcação, classificação e rótulos para organização complexa da biblioteca
  • Motor de busca poderoso que suporta critérios de metadados EXIF, IPTC e XMP
  • Edição não destrutiva com ajustes de cor, recorte e nitidez
  • Suporte nativo a arquivos RAW via LibRaw para decodificação e pré‑visualização
  • Catalogação de vídeos e extração de metadados usando back‑ends FFmpeg
  • Organização de álbuns com interface de arrastar e soltar
  • Disponibilidade multiplataforma para Linux, Windows e macOS

Como instalar o digiKam no Linux

Flatpak (Flathub)flatpak install flathub org.kde.digikam
Ubuntu / Mintsudo apt install digikam
Debiansudo apt install digikam
Fedorasudo dnf install digikam
Arch / Manjarosudo pacman -S digikam
openSUSEsudo zypper install digikam

Perguntas frequentes

Can digiKam read ACDSee’s .db catalog files?

No, digiKam cannot import the proprietary .db catalog. You must rebuild the library by re‑importing the image files.

Does digiKam support facial recognition like ACDSee?

It does not include built‑in face detection or recognition; you would need a separate tool or manual tagging.

Is digiKam fast enough for quick image viewing?

Thumbnail generation and browsing are responsive, but initial library indexing can take time on large collections.

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