danielgatis/docscan
Snapshot of danielgatis/docscan: 109★, Python, Image Tools. Docscan is a document scanner. Take a photo of your documents and frame it.
Snapshot summary built from the project's own GitHub metadata — there's no written TopGit review yet. The page will update automatically when a full review is published.
TopGit writes full reviews for the most-starred, most-requested repositories. This page is a snapshot until then — see the READ ME tab for the original README in full.
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Quick answers
How active is development on danielgatis/docscan?
The most recent commit recorded on danielgatis/docscan was 2.0 years ago, based on the GitHub push timestamp. The repository has 21 forks — one of the better signals of community interest.
How many stars does danielgatis/docscan have?
danielgatis/docscan has 109 GitHub stars — refresh the page for the live number, or check github.com/danielgatis/docscan. TopGit mirrors GitHub's count but does not claim minute-by-minute accuracy.
What else is in the Image Tools space?
danielgatis/docscan is tracked by TopGit under the Image Tools category, alongside 3 GitHub-tagged topics. Trending and Topics pages list peer repositories of comparable stars and language.
What language is danielgatis/docscan written in?
danielgatis/docscan is written primarily in Python. GitHub's language field is based on the largest share of bytes in the default branch.
What topics is danielgatis/docscan associated with?
GitHub's repository topics for danielgatis/docscan: "document-scanner", "image-processing", "python". TopGit's editorial category is Image Tools.
Where do I read more about danielgatis/docscan?
This TopGit page is a snapshot — the READ ME tab shows the project's own README content (links stripped, images preserved). The GitHub repository at github.com/danielgatis/docscan is the definitive source.
Why is danielgatis/docscan categorized under Image Tools?
TopGit places danielgatis/docscan in the Image Tools category based on its GitHub topics and description (tagged: "document-scanner", "image-processing", "python"). Categories are assigned from real repository metadata, not editorial guesswork.
Read full README in the tab above.
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