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Waraqi 0.1.0-beta.1

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@odytr odytr released this 31 Jul 17:01
· 16 commits to main since this release
v0.1.0
90bcb36

First release. An offline document archive that reads Arabic and English.

Photograph your documents, Waraqi extracts the text, and you can search it later.
Everything runs on your machine. There is no account, no server, and the app makes
no network requests at any point, including the first run.

Install

Windows 10 or 11

  • Waraqi_0.1.0_x64.msi
  • Waraqi_0.1.0_x64-setup.exe

Not code signed, so SmartScreen will warn you. Click "Run anyway".

macOS

  • Waraqi_0.1.0_aarch64.dmg (M1 and later)

Not signed or notarized, so right-click the app and choose Open the first time.

Linux

  • waraqi_0.1.0_amd64.deb (Debian and Ubuntu)

Windows is the build we tested. The macOS and Linux builds are produced by CI on
their own platforms and pass the test suite, but we have not been able to run them.

You can build any of these yourself from source if you would rather not trust ours.

What is in it

  • OCR in Arabic and English together on every page, including mixed documents
  • Full text search in either language, with Arabic normalization so فاتوره finds فاتورة
  • Tags, searchable, with counts in the sidebar, applied automatically from the page
  • Rule based document type detection, no model involved
  • Export a document as a searchable PDF, or the whole archive as files plus a CSV
  • Arabic and English interface, right to left and left to right, dark and light

Where your documents live

Windows: %APPDATA%\ngo.josa.waraqi\
macOS: ~/Library/Application Support/ngo.josa.waraqi/
Linux: ~/.local/share/ngo.josa.waraqi/

That folder holds the imported images and a single SQLite database. Nothing leaves
it. Delete it and the app is empty again. The archive export exists so you can take
everything with you in a form that opens without Waraqi.

Known limits

  • Images only, multi page PDF import is not supported yet
  • OCR quality depends heavily on the photo. Fill the frame, avoid shadows across the text
  • The invisible text layer in exported PDFs is searchable but not correctly shaped Arabic

Built by

Viscanturtle and odytr for Reclaim Hackathon by JOSA.

MIT licensed. Third party components are listed in THIRD_PARTY.md.

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