How to unbundle your SCORM file

SCORM Management is the part of Filtered where you upload SCORM packages, trigger processing, and review what the pipeline has extracted from each one. Once a package is processed, every module inside it becomes searchable, skill-tagged, and available for use in search.

In the top-right corner you'll see a counter labelled Available SCORM Credits. It tells you how many packages you can still process against your license.

ℹ️  Credits are consumed at processing, not upload

Uploading a file does not use a credit. Processing does. If you are working through a large library, keep an eye on the Available SCORM Credits counter before triggering a bulk process run. Currently, there is no credit rollback on errored files. If a file errors while processing please contact our team at success@filtered.com to investigate and refund the credit.

Uploading gets a package into the system. Processing is what actually does the work: transcription, skills tagging, module extraction. A package that has been uploaded but not yet processed is not searchable.

💡  Updated your skills framework?

Use ‘Tag all SCORM’ assets rather than reprocessing from scratch. Skills tags get refreshed without consuming additional credits or re-running the full transcription.

Processed packages carry a Ready badge. Click the arrow on the right side of the package to expand the full detail view.

The top of the panel shows the package title, total duration, and language.

A plain-text overview of the course, either pulled from the original package metadata or generated during processing. This text is what appears in search results and pathway views.

Skills tags applied at the package level, based on the transcribed content. These map to your organisation's own skills framework rather than a fixed taxonomy. If the framework changes, run ‘Tag all SCORM assets’ to bring existing packages up to date.

Below the package information, each module is listed as a collapsible row showing the module name and duration. A 13-module package shows 13 rows. Expanding a row reveals four things.

Skills tagged specifically to that module. These can differ from the package-level tags. A phishing module inside a broader online safety package might carry Information Security and Cybersecurity tags that do not appear at the package level.

SCORM packages are broken down into individual modules during processing, and each module receives both a transcript and a description. Transcripts are extracted directly from the package content. For videos embedded within a SCORM package, Filtered pulls the transcript from any existing SRT file included with the video. Direct video transcription (where no SRT file is present) is on the roadmap and will be added to the product soon.

Filtered estimates the total duration of a SCORM package by extracting transcripts and using the word count to work out the overall length. If a duration is already provided inside the package, Filtered will use that figure. If the provided duration is inaccurate or missing, the LLM analyses the content to calculate it instead.

A short summary of what the module covers. For assessment modules, this describes what is being tested rather than listing the questions. Filtered uses secure, self-hosted AI to extract, transcribe, and tag SCORM content, which includes generating a description for each module. Where an accurate description already exists inside the package, Filtered will use it. If the description is missing or not useful, the LLM generates one based on the extracted content instead. Descriptions feed into how Filtered determines relevancy. The algorithm analyses the definition of each asset to understand what it covers and how it should be matched to skills and search queries. For packages processed through SCORM Intelligence, each module gets its own short description as part of the breakdown.

Where a module contains an assessment, each question is extracted and listed here alongside the available answers and correct answer. Non-assessment modules show "No assessments specified".

ℹ️  How assessment detection works

Filtered identifies assessments from the SCORM course structure rather than from SCORM's internal bookmarking flags, which vary widely across authoring tools. Detection is reliable across most real-world packages, including those with sparse or inconsistent metadata.

Processed SCORM content is searchable through the standard Filtered Search tab. Search works at module level, not just package title, so a query like "How does unconscious bias work" returns the specific module most relevant to that question, with a relevance score alongside it.

Results show the matching package and its description, with individual modules below it. From the results page you can add any SCORM package to a pathway using the Add to Pathway button at the bottom of the screen.

Questions? Contact success@filtered.com