BCF Viewer

A lightweight tool for BIM coordinators and engineers to view BCF archives, summarize issues, and export structured results for project collaboration.

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About This Tool

This tool ingests BCF ZIP archives and produces a structured, machine-readable representation of issues and viewpoints. It does not render models; it focuses on domain logic: parsing BCF XML, validating presence of required fields, and summarizing.

Conceptually, it treats a BCF package as a container of topics (issues), comments, and references to viewpoints. It normalizes timestamps to ISO 8601, computes durations between created and resolved dates, and aggregates counts by status and priority. Optional filters can limit results to a specific project or milestone.

Beneficiaries: BIM coordinators, project managers, QA teams, and consultants who need auditable, shareable data without manual extraction. Unique differentiator: built-in BCF structure validation and robust handling for incomplete bundles, producing consistent JSON reports even if some topics lack viewpoints or timestamps.

Core features include archive ingestion, topic extraction, status/priority normalization, summary metrics, an issue list with essential fields, and optional export to JSON or CSV. Typical use cases include coordination meetings, change tracking, quality assurance, and compliance audits.

How to Use

  1. Provide inputs
  2. Configure filters
  3. Run processing
  4. Review outputs
  5. Export results
How to use bcf viewer

Frequently Asked Questions

Find Quick Answers

What is BCF?
BCF stands for BIM Collaboration Format, a lightweight container for exchanging issues, viewpoints, and topic data between BIM tools and project teams. The viewer focuses on extracting structured data from BCF files rather than rendering models, enabling automation and auditable reporting.
What inputs are required?
A BCF archive input is required, typically provided as a ZIP containing BCF XML files and related resources. Optional inputs include project filters, maximum issue count, and an option to include topic comments.
What outputs are produced?
Outputs include a machine-readable summary of issue counts by status and a detailed list of issues with IDs, titles, and timestamps. An optional CSV export and a shareable report link are also provided.
How is data quality ensured?
The parser validates BCF structure during parsing, excludes invalid topics, normalizes dates to ISO 8601, and deduplicates by GUID. When data is partial or missing fields, it still returns consistent results and metadata describing the skipped items.

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