CATALOG to TXT Converter

CATALOG to TXT Conversion Explained

Converting .CATALOG report and security files to .TXT plain text files changes a compressed binary archive into human-readable text. Organizations do this to extract hidden metadata, audit security configurations, and read report definitions without opening the original business intelligence software. You gain transparency and the ability to search the file contents using standard text tools. However, you lose the archive structure, binary assets, and the ability to import the file back into the reporting system. This conversion is a one-way extraction. It is a bad idea if you need to migrate reports between environments, as the target system requires the intact .CATALOG archive.

Typical Tasks and Users

• BI Administrators: Extracting security configurations to audit user privileges and folder access rights.
• Data Engineers: Converting report logic into plain text to track changes over time using version control systems like Git.
• Compliance Auditors: Reviewing system metadata and data models without requiring access to the live reporting environment.
• Support Technicians: Searching for specific database column names or broken queries across multiple report files using command-line text search tools.

Software & Tool Support

• Oracle BI Catalog Manager: The official application used to archive and unarchive .CATALOG files natively.
• Zlib Libraries: Command-line tools and programming libraries (like Python's zlib) can decompress the underlying archive structure.
• Notepad++ or Visual Studio Code: Standard text editors used to read and search the resulting .TXT files.
• Convert.Guru: A web-based tool that handles the decompression and text extraction automatically.

Pros and Cons of the Conversion

• Pros:

  • Transparency: Exposes the underlying XML, report definitions, and security rules that are normally hidden inside the archive.
  • Searchability: Allows users to search massive configurations for specific strings, queries, or user roles.
  • Version Control: Plain text is highly compatible with Git, allowing teams to track line-by-line changes.

• Cons:

  • Fidelity Loss: Any binary data stored in the catalog, such as embedded dashboard images, is lost or corrupted during text extraction.
  • Incompatibility: The resulting .TXT file cannot be uploaded or "unarchived" back into the BI system.
  • Readability Issues: Flattening a multi-component archive into a single text file can create a massive, poorly structured document.

Conversion Difficulties & Why Convert.Guru

A .CATALOG file is not a standard text document; it is typically a zlib-compressed archive containing multiple internal components. Simply renaming the file extension to .TXT will result in unreadable binary gibberish. The actual conversion pipeline requires decompressing the zlib stream, parsing the internal directory structure, isolating the text-based report and security definitions, and stripping out binary assets.

Convert.Guru simplifies this process. It automatically handles the zlib decompression and extracts the relevant metadata and configuration text. This provides a clean, readable .TXT file without requiring users to write custom extraction scripts or install heavy BI administration tools.

CATALOG vs. TXT: What is the better choice?

Which format should you choose?

Choose .CATALOG when you need to move dashboards, reports, and security settings between environments (for example, from Development to Production). The BI system requires this format to restore the objects correctly.

Choose .TXT when you need to audit security rules, search for specific database queries, or commit the report logic to a version control repository. Avoid converting to .TXT if your goal is to edit the report and upload it back into the system; you must use the official Catalog Manager for any modifications.

Conclusion

Converting .CATALOG to .TXT makes sense when you need to extract and audit report definitions and security configurations outside of a business intelligence environment. The biggest limitation to watch for is that this is a strict one-way process; the resulting text file cannot be imported back into the system. Convert.Guru is a reliable choice for this exact conversion because it accurately handles the underlying archive decompression, ensuring you get clean, searchable text without the technical hassle.