KTX Viewer

View and analyze KTX texture files quickly for developers and asset pipelines.

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About This Tool

The KTX Viewer provides a focused, non interactive metadata extraction workflow for KTX1 and KTX2 texture containers. It enables developers and asset teams to confirm texture dimensions, depth, array layers, and mip levels before integration. The tool outputs a structured metadata block that can feed automated pipelines or logs. It also offers optional memory footprint estimates to aid budgeting for streaming textures across platforms. By avoiding decoding or rendering, it preserves input integrity while delivering actionable insights for asset validation and loader configuration. This makes it valuable during asset ingestion, cross platform builds, and performance profiling in GPU pipelines. The tool differentiates itself by supporting both KTX1 and KTX2 formats, providing consistent, machine friendly outputs and precise error reporting for invalid files.

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How to Use

Upload a KTX or KTX2 file to the tool.
The parser reads header information and outputs metadata.
Optionally enable memory_estimate to obtain an approximate GPU footprint.
Review the derived fields such as width, height, depth, mip_levels, array_layers, and format.
Export the metadata bundle for integration into CI or asset pipelines.

Frequently Asked Questions

Find Quick Answers

What file formats are supported?

The tool supports KTX1 and KTX2 containers. It validates the header, extracts width, height, depth, mip levels, array layers, and format. It reports unsupported or corrupted files with precise metadata errors.

Can it estimate memory usage for all mip levels?

Yes, when enabled, it provides an approximate device memory footprint by summing each mip level size according to the format and block dimensions. It does not decode image data.

What happens if the file is invalid?

If magic numbers are incorrect or the file is truncated, the tool returns a specific error indicating the failure point and invalid metadata, enabling quick remediation.

Is the output machine readable?

Yes. The primary result is a JSON-like metadata object suitable for logs, pipelines, or automated validation. It can be consumed by build systems to gate texture ingestion.

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