ossappscollective

ossappscollective/OSS-DocumentScanner

C++ MIT Productivity

Document scanning app

2.3k stars
109 forks
active
GitHub +22 / week

2.3k

Stars

109

Forks

78

Open issues

30

Contributors

AI Analysis

OSS Document Scanner is a mobile application (Android and iOS) that captures documents via camera, applies image processing and optical character recognition, and exports scanned documents as PDFs or text. The repository now hosts two related apps: Document Scanner and Card Wallet. It serves individual users and small teams needing portable document digitization without cloud dependencies.

Productivity Application Discovery value: 5/10
Documentation 6/10
Activity 9/10
Community 7/10
Code quality 5/10

Inferred from signals mentioned in the README (tests, CI, type safety) — not a review of the actual code.

Overall score 7/10

AI's overall editorial judgment — not an average of the bars above, can weigh other factors too.

document-processing ocr mobile-app image-processing computer-vision
Actively maintained MIT licensed Niche/specialized use case Production ready
Deep Analysis · Based on README and public signals
2d ago

Mobile document scanner and card wallet app with multi-platform reach and steady OSS adoption

OSS Document Scanner is a dual-purpose mobile application that provides document scanning (with edge detection and PDF generation) and card/ID storage (OSS CardWallet). Built primarily in C++, it targets privacy-conscious users who want open-source alternatives to proprietary scanning solutions. Available on Android (Google Play, F-Droid via IzzyOnDroid), iOS (App Store), and GitHub releases. The project appears to serve users who prioritize transparency and offline functionality over AI-powered cloud processing. Adoption is modest but appears geographically and platform-diverse based on distribution channels.

Origin

Created July 2020, the project began as a single document scanner app. By 2026, it evolved into a dual-app repository housing both the scanner and a card wallet component, suggesting scope expansion in response to user demand or contributor interest. The shift to housing multiple related apps may reflect either a strategic consolidation or organic growth of the collective.

Growth

The project gained 2,277 stars over ~6 years with modest recent acceleration (23 stars in the 7 days prior to 2026-07-08), suggesting slow but consistent interest. Multi-platform distribution (Google Play, App Store, F-Droid, GitHub, Obtainium) appears intentional, targeting users across OS preferences and app store philosophies. The project's presence across proprietary (Google Play, App Store) and FOSS channels (F-Droid, Obtainium) indicates it does not reject mainstream distribution despite FOSS-first positioning.

In production

Adoption not verified through concrete metrics. Evidence suggests real-world use: distribution across App Store, Google Play, and F-Droid indicates users exist, but no download counts, user surveys, or organizational adoption data are publicly available. The project's presence on multiple app distribution platforms implies sufficient stability and polish for consumer use, but scale of actual deployment remains opaque.

Code analysis
Architecture

Appears to be a C++ core with mobile platform bindings (likely Flutter or native Android/iOS). README does not detail architecture, so implementation patterns, dependency structure, and platform abstraction approach cannot be verified from available metadata.

Tests

Not documented in README. No CI/CD pipeline, test framework, or coverage metrics mentioned.

Maintenance

Last push 2026-07-02 (6 days prior to evaluation date) indicates active maintenance. The project has been continuously maintained for 6 years with recent activity, suggesting the maintainers are engaged and responsive. No evidence of abandonment or drift.

Honest verdict

ADOPT IF: you need a privacy-respecting, open-source document scanner for iOS or Android that works offline and you are comfortable with a small, maintainer-driven project without enterprise SLAs. AVOID IF: you require OCR, cloud sync, team collaboration, advanced document management, or guaranteed multi-year support with SLA commitments. MONITOR IF: you are evaluating this for organizational rollout—adoption scale is unverified, and the project's capacity to handle bulk deployments or bug reports at scale is unknown.

Independent dimensions

Mainstream potential

3/10

Technical importance

5/10

Adoption evidence

3/10

Risks
  • Adoption scale not publicly documented; unclear whether the project serves hundreds, thousands, or tens of thousands of users, making deployment decisions harder.
  • Single or very small maintainer team (inferred from repository activity pattern) poses continuity risk if key contributors become unavailable.
  • No public roadmap, issue tracking transparency, or release cadence documentation visible in README—communication with users about planned features or known limitations is unclear.
  • Test coverage, security audit history, and architecture documentation absent from README, limiting ability to assess code quality or identify vulnerabilities without source inspection.
  • Dual-app consolidation (document scanner + card wallet in one repository) may complicate maintenance, testing, and release cycles, though this could also be a strength for coordinated features.
Prediction

OSS Document Scanner is likely to remain a stable, niche offering serving privacy-conscious mobile users over the next 2–3 years. Star growth will probably remain modest (10–50 per month) unless a significant media event (privacy breach in competitive apps, regulatory shift favoring open-source) occurs. The project's multi-platform presence suggests the maintainers are committed to breadth, but it will not achieve mainstream adoption comparable to proprietary alternatives due to resource constraints and deliberate FOSS-first positioning.

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Languages

C++
46.9%
TypeScript
22.1%
Svelte
19.5%
Kotlin
6.2%
JavaScript
1.8%
Objective-C++
1%
Swift
0.7%
Ruby
0.7%

Information

Language
C++
License
MIT
Last updated
1w ago
Created
72mo ago
Analyzed with
anthropic/claude-haiku-4-5

Stars over time

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Contributors over time

Top 100 contributors only — repos with more will plateau at 100.

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vs. alternatives
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Paperless-ngx is a comprehensive document management system (Python) targeting server-side deployment and organization of archives. OSS Document Scanner is a client-side mobile app focused on capture. They serve different phases of the document lifecycle—capture vs. long-term management—with different user bases (individuals, small teams vs. enterprises).

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Tesseract is a library for optical character recognition used as a building block by other tools. OSS Document Scanner is a consumer application that may or may not integrate OCR capabilities. They operate at different abstraction levels—library vs. end-user app.

markusfisch/BinaryEye (2,255 stars)

Similar GitHub star count and likely similar audience (privacy-conscious mobile users, offline-first). BinaryEye focuses on barcode/QR scanning; OSS Document Scanner on document capture and card storage. Both are niche Android-focused FOSS apps with modest but real adoption.

google/osv-scanner (10,626 stars)

OSV Scanner targets security vulnerability scanning in dependency trees. OSS Document Scanner addresses document/card capture. No direct overlap; included as a reference for how OSS security-focused tooling achieves higher star count despite narrower use case.

Proprietary mobile scanners (Adobe Scan, Microsoft Lens, CamScanner)

OSS Document Scanner's true competitive set is proprietary mobile apps. It offers transparency and offline-first functionality at the cost of smaller ecosystem and less aggressive AI-powered features. Suitable for users prioritizing privacy over convenience.