Forge Miniv1.0.0Feature Complete

Media Dimension Outlier Finder

Detect unusual media dimensions, aspect ratios, durations, and sizes in a batch.

v1.0.0Current release

MITSource license

3Supported platform groups

Files & ArchivesCatalog category

The problem it solves

Media Dimension Outlier Finder [](https://github.com/loganpendragonmultiverse/media-dimension-outlier-finder/actions/workflows/ci.yml)

Who Media Dimension Outlier Finder is for

People who need a small, purpose-built utility instead of a broad platform.
Users working with media, dimensions, aspect who want the documented v1.0.0 behavior.
People who prefer an open-source release with visible limitations, source, and license terms.

Intended result

Detect unusual media dimensions, aspect ratios, durations, and sizes in a batch.

This summary is reconciled from the current catalog and repository documentation.

Features in v1.0.0

Capabilities below come from the current project README and release documentation.

[](https://github.com/loganpendragonmultiverse/media-dimension-outlier-finder/actions/workflows/ci.yml)

Detect unusual media dimensions, aspect ratios, durations, and sizes in a batch. The command uses explicit UTF-8 JSON input and produces reviewable JSON or Markdown output.

Verified examples

Screenshots are shown only when the current README references a local source image. Otherwise, repository example files are linked directly.

examples/sample.jsonVerified example included in the current source repository.

Platforms and implementation

The public release claims only the cataloged platforms and technologies.

Supported platforms

Windows
macOS
Linux

Built with

Python
Pillow

Quick start

The shortest documented path into the current release.

python -m pip install .
media-outliers examples/sample.json
media-outliers examples/sample.json --format json --output report.json

The example documents the v1 input shape. Existing report files are never overwritten. Source inputs are read-only except where the documented purpose explicitly creates a new output artifact.

Current limitations

These boundaries are part of the product and prevent the page from implying unverified capability.

Outliers are relative to the supplied batch and are not necessarily errors. Video dimensions and durations must be supplied as metadata in v1.

Privacy and licensing

Review the actual data boundary before using a tool with sensitive inputs.

Privacy and safety

The tool runs locally and does not upload input or include telemetry. Python 3.10 or newer is supported on Windows, macOS, and Linux.

License and release

Media Dimension Outlier Finder is published under MIT. The current cataloged release is v1.0.0, published 2026-07-27.

Release and downloads Read the license

Related projects

Related projects are selected deterministically from shared catalog tags, category, and implementation technologies—not popularity or paid placement.

Current public release