Sticky Password

最新版本 MusicBrainz Picard 2.5.2

MusicBrainz Picard 2.5.2

MusicBrainz Picard 2.5.2
Sticky Password 是一個功能強大但簡單的免費密碼管理器和安全的數字金庫!只需記住一個密碼。記住只有一個,而不是幾十個密碼。其他的一切都由 Sticky Password 自動填寫。它使用簡單,而且全面安全。

Sticky Password 解決方案的核心是使用世界領先的加密標準 AES-256 加密的安全數據庫。密碼數據庫自動鎖定 - 在您的計算機,平板電腦和智能手機上 - 當您遠離設備時,可以保護好您的眼睛。只有你知道,它全部受到你的主密碼的保護。儘管你在網上做了所有的事情,但是創建和記憶你最喜歡的網站和應用程序的密碼是一個挑戰 - 電子郵件,社交網絡,購物,銀行,雜誌和其他訂閱,或學校和社區團體。

隨著 Sticky Password,你將有自動登錄和表單填寫您最喜愛的網站。該軟件可識別您的密碼保護的目的地,自動登錄您使用的任何設備。這是方便和安全的。 Sticky Password 是免費和高級版本。密碼管理器和在線填表可用於您的 PC,Mac,智能手機(Android 和 iPhone)和平板電腦(Android 和 iPad)。 Sticky Password Premium 通過我們的雲服務器,本地 Wi-Fi 或手動支持安全同步。您可以通過本地 Wi-Fi 通過可選的同步控制數據 - 您的加密數據永遠不會離開您的設備。用 Sticky Password 免費查看所有功能。支持生物識別。賬戶持有人的身份驗證可以通過僅僅一次手指的輕掃來進行。

Sticky Password 支持配備指紋掃描儀的 iOS 和 Android 手機和平板電腦上的指紋身份驗證。這包括 iPhone 和 iPad 上的 Touch ID,以及 Samsung Galaxy 和其他 Android 設備。指紋掃描的生物識別支持方面,沒有其他密碼保險庫提供比 Sticky Password.

更多的指紋注意:以下功能在演示版本中不可用:跨設備的云同步,雲備份,跨設備的本地 Wi-Fi 同步和優先支持。

也可用:下載 Sticky Password 為 Mac

ScreenShot

軟體資訊
檔案版本 MusicBrainz Picard 2.5.2

檔案名稱 picard-setup-2.5.2.exe
檔案大小
系統 Windows XP / Vista / Windows 7 / Windows 8 / Windows 10
軟體類型 未分類
作者 Lamantine Software
官網 https://www.stickypassword.com/
更新日期 2020-11-16
更新日誌

What's new in this version:

Fixed:
- ScaleFactorRoundPolicy breaks text rendering on Linux
- Case-only changes to file names are not applied on case insensitive file systems on Linux
- Case-only changes to file names are not applied on FAT32 and exFAT file systems on Windows 10
- Directory drag & drop from file browser to cluster area broken
- Metadata changes loaded asynchronously by plugins are reset if file gets matched to track
- Modified fields are sometimes not correctly marked as changed when multiple files are selected
- "Local files" cover provider does not detect cover files for files already present at release loading time
- Loaded files not shown in UI if release MBID is a redirect
- Config upgrade from Picard < 1.3.0 to version 2.4 or later fails

MusicBrainz Picard 2.5.2 相關參考資料
Download MusicBrainz Picard 2.5.2 - Softpedia

MusicBrainz Picard is a software utility that can help you tag your audio files. This application is album-oriented, as it allows you to sort files into album clusters by&nbsp;...

https://www.softpedia.com

Download MusicBrainz Picard Portable 2.5.2 - Softpedia

Download MusicBrainz Picard Portable - Tag your audio files using AcustIDs and hence, link your tracks and albums to the MusicBrainz open music&nbsp;...

https://www.softpedia.com

Downloads - MusicBrainz Picard

Picard is available for all major platforms. Just download and start the installer. It&#39;s that easy. Picard for Windows. Picard Version, MD5 Hash, Size, Link&nbsp;...

https://picard.musicbrainz.org

metabrainzpicard: MusicBrainz Picard - GitHub

MusicBrainz Picard. Contribute to metabrainz/picard development by creating an account on GitHub. ... Releases 80 &middot; MusicBrainz Picard 2.5.2 Latest. yesterday.

https://github.com

MusicBrainz Picard

Official website for MusicBrainz Picard, a cross-platform music tagger written in Python.

https://picard.musicbrainz.org

MusicBrainz Picard Portable 2.5.2 (audio file tagger) Released

23 小時前 — A new version of MusicBrainz Picard Portable has been released. MusicBrainz Picard is an audio file tagger linked to the MusicBrainz open&nbsp;...

https://portableapps.com

Picard 2.5.2 released – MetaBrainz Blog

2 天前 — Picard 2.5.2 is a maintenance release, fixing some bugs and providing minor improvements to the recent 2.5.1 release. Thanks a lot to&nbsp;...

https://blog.metabrainz.org

Picard – MetaBrainz Blog

Picard 2.5.2 is a maintenance release, fixing some bugs and providing minor ... [PICARD-1858] – MusicBrainz Picard does not respond on macOS 11 Big Sur&nbsp;...

https://blog.metabrainz.org

Portable MusicBrainz Picard 2.5.2 Free Download

Download Portable MusicBrainz Picard 2.5.2 : MusicBrainz Picard is an audio file tagger linked to the MusicBrainz open music encyclopedia.

https://codecpack.co

Releases · metabrainzpicard · GitHub

MusicBrainz Picard. Contribute to metabrainz/picard development by creating an account on GitHub.

https://github.com