Este Document Data Capture sigur?

Document Data Capture — Nerq Trust Score 63.0/100 (Nota C). Pe baza analizei a 5 dimensiuni de încredere, este în general sigur, dar cu unele preocupări. Ultima actualizare: 2026-04-01.

Folosiți Document Data Capture cu precauție. Document Data Capture is a software tool cu un Scor de Încredere Nerq de 63.0/100 (C), based on 5 independent data dimensions. Este sub pragul recomandat de 70. Security: 0/100. Maintenance: 1/100. Popularity: 0/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-01. Date citibile de mașină (JSON).

Este Document Data Capture sigur?

PRECAUȚIE — Document Data Capture are un Scor de Încredere Nerq de 63.0/100 (C). Are semnale de încredere moderate, dar prezintă unele zone care necesită atenție. Potrivit pentru utilizare în dezvoltare — verificați semnalele de securitate și mentenanță înainte de implementarea în producție.

Analiză de Securitate → Raport de confidențialitate {name} →

Care este scorul de încredere al Document Data Capture?

Document Data Capture are un Scor de Încredere Nerq de 63.0/100, earning a C grade. This score is based on 5 independently measured dimensions including security, maintenance, and community adoption.

Securitate
0
Conformitate
100
Mentenanță
1
Documentație
1
Popularitate
0

Care sunt principalele constatări de securitate pentru Document Data Capture?

Document Data Capture's strongest signal is conformitate at 100/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.

Scor de securitate: 0/100 (weak)
Maintenance: 1/100 — low maintenance activity
Compliance: 100/100 — covers 52 of 52 jurisdictions
Documentation: 1/100 — limited documentation
Popularity: 0/100 — 1 stars on github

Ce este Document Data Capture și cine îl întreține?

AutorMaria-Clara-Bertoli
Categoriedata
Stele1
Sursăhttps://github.com/Maria-Clara-Bertoli/Document-Data-Capture
Frameworkslangchain
Protocolsrest

Conformitate reglementară

EU AI Act Risk ClassMINIMAL
Compliance Score100/100
JurisdictionsAssessed across 52 jurisdictions

Alternative populare în data

firecrawl/firecrawl
73.8/100 · B
github
MinerU
84.6/100 · A
github
mindsdb/mindsdb
77.5/100 · B
github
PostHog
51.9/100 · D
pulsemcp
Graphiti
51.9/100 · D
pulsemcp

What Is Document Data Capture?

Document Data Capture is a software tool in the data category: A microservice-based agent for capturing and processing document data.. It has 1 GitHub stars. Nerq Trust Score: 63/100 (C).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including security vulnerabilities, maintenance activity, license compliance, and community adoption.

How Nerq Assesses Document Data Capture's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Document Data Capture performs in each:

The overall Trust Score of 63.0/100 (C) reflects the weighted combination of these signals. This is below the Nerq Verified threshold of 70. We recommend additional due diligence before production deployment.

Who Should Use Document Data Capture?

Document Data Capture is designed for:

Risk guidance: Document Data Capture is suitable for development and testing environments. Before production deployment, conduct a thorough review of its security posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.

How to Verify Document Data Capture's Safety Yourself

While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:

  1. Check the source code — Review the repository's security policy, open issues, and recent commits for signs of active maintenance.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Document Data Capture's dependency tree.
  3. Recenzie permissions — Understand what access Document Data Capture requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Document Data Capture in a sandboxed environment before granting access to production data or systems.
  5. Monitor continuously — Use Nerq's API to set up automated trust checks: GET nerq.ai/v1/preflight?target=Document-Data-Capture
  6. Verificați license — Confirm that Document Data Capture's license is compatible with your intended use case. Pay attention to restrictions on commercial use, redistribution, and derivative works. Some AI tools use dual licensing or have separate terms for enterprise customers that differ from the open-source license.
  7. Check community signals — Look at the project's issue tracker, discussion forums, and social media presence. A healthy community actively reports bugs, contributes fixes, and discusses security concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Document Data Capture

When evaluating whether Document Data Capture is safe, consider these category-specific risks:

Data handling

Understand how Document Data Capture processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency security

Check Document Data Capture's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.

Update frequency

Regularly check for updates to Document Data Capture. Security patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

If Document Data Capture connects to external APIs or services, each integration point is a potential attack surface. Audit all third-party connections, verify that data shared with external services is minimized, and ensure that integration credentials are rotated regularly.

License and IP compliance

Verify that Document Data Capture's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Document Data Capture in violation of its license can expose your organization to legal liability.

Document Data Capture and the EU AI Act

Document Data Capture is classified as Minimal Risk under the EU AI Act. This is the lowest risk category, meaning it faces minimal regulatory requirements. However, transparency obligations still apply.

Nerq's compliance assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal compliance.

Best Practices for Using Document Data Capture Safely

Whether you're an individual developer or an enterprise team, these practices will help you get the most from Document Data Capture while minimizing risk:

Conduct regular audits

Periodically review how Document Data Capture is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.

Keep dependencies updated

Ensure Document Data Capture and all its dependencies are running the latest stable versions to benefit from security patches.

Follow least privilege

Grant Document Data Capture only the minimum permissions it needs to function. Avoid granting admin or root access.

Monitor for security advisories

Subscribe to Document Data Capture's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.

Document usage policies

Create and maintain a clear policy for how Document Data Capture is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Document Data Capture?

Even promising tools aren't right for every situation. Consider avoiding Document Data Capture in these scenarios:

scorul de încredere al

For each scenario, evaluate whether Document Data Capture de 63.0/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.

How Document Data Capture Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among data tools, the average Trust Score is 62/100. Document Data Capture's score of 63.0/100 is above the category average of 62/100.

This positions Document Data Capture favorably among data tools. While it outperforms the average, there is still room for improvement in certain trust dimensions.

Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks moderate in isolation may actually represent strong performance within a challenging category — or vice versa. Nerq's category-relative analysis helps teams make informed decisions by showing not just absolute quality, but how a tool ranks against its direct peers.

Trust Score History

Nerq continuously monitors Document Data Capture and recalculates its Trust Score as new data becomes available. Our scoring engine ingests real-time signals from source repositories, vulnerability databases (NVD, OSV.dev), package registries, and community metrics. When a new CVE is published, a major release ships, or maintenance patterns change, Document Data Capture's score is updated within 24 hours.

Historical trust trends reveal whether a tool is improving, stable, or declining over time. A tool that consistently maintains or improves its score demonstrates ongoing commitment to security and quality. Conversely, a downward trend may signal reduced maintenance, growing technical debt, or unresolved vulnerabilities. To track Document Data Capture's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=Document-Data-Capture&include=history

Nerq retains trust score snapshots at regular intervals, enabling trend analysis across weeks and months. Enterprise users can access detailed historical reports showing how each dimension — security, maintenance, documentation, compliance, and community — has evolved independently, providing granular visibility into which aspects of Document Data Capture are strengthening or weakening over time.

Document Data Capture vs Alternatives

În categoria data, Document Data Capture a obținut scorul 63.0/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Concluzii principale

Întrebări frecvente

Este Document Data Capture sigur de utilizat?
Utilizați cu precauție. Document-Data-Capture are un Scor de Încredere Nerq de 63.0/100 (C). Cel mai puternic semnal: conformitate (100/100). Scor bazat pe security (0/100), maintenance (1/100), popularity (0/100), documentation (1/100).
Ce este Document Data Capture's trust score?
Document-Data-Capture: 63.0/100 (C). Scor bazat pe: security (0/100), maintenance (1/100), popularity (0/100), documentation (1/100). Compliance: 100/100. Scorurile se actualizează pe măsură ce devin disponibile date noi. API: GET nerq.ai/v1/preflight?target=Document-Data-Capture
Care sunt alternativele mai sigure la Document Data Capture?
În categoria data, alternativele cu scor mai mare includ firecrawl/firecrawl (74/100), MinerU (85/100), mindsdb/mindsdb (78/100). Document-Data-Capture a obținut scorul 63.0/100.
How often is Document Data Capture's safety score updated?
Nerq continuously monitors Document Data Capture and updates its trust score as new data becomes available. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Current: 63.0/100 (C), last verified 2026-04-01. API: GET nerq.ai/v1/preflight?target=Document-Data-Capture
Pot folosi Document Data Capture într-un mediu reglementat?
Document Data Capture has not reached the Nerq Verified threshold of 70. Additional due diligence is recommended for regulated environments.
API: /v1/preflight Trust Badge API Docs

Disclaimer: Scorurile de încredere Nerq sunt evaluări automatizate bazate pe semnale disponibile public. Nu sunt recomandări sau garanții. Efectuați întotdeauna propria verificare.

We use cookies for analytics and caching. Confidențialitate Policy