# Reverse Engineering Scorcher: extracting its resource archive and images

> Reverse Engineering Scorcher investigates the 1996 game's asset formats through a Python extractor. The script opens TAGDEN.BIN, extracts its resources and converts R0V images to PNG; the format inventory identifies additional files, including WL3 models and HMP heightmaps, that remain undecoded.

- Type: Case study
- Targets: Game
- Category: Independent reconstruction cases
- Relationship: Independent reconstruction project
- Sources reviewed: 2026-11-07
- Added to the catalog: 2026-11-09
- Original resource: <https://github.com/carlmartus/reverse-engineering-scorcher>
- Primary source: <https://github.com/carlmartus/reverse-engineering-scorcher/blob/bd6e80e9b11696f3a567e45c42b80fea3b9c5d3e/README.md>
- Catalog page: <https://awesomerea.org/resources/reverse-engineering-scorcher-case/>
- Record JSON: <https://awesomerea.org/resources/reverse-engineering-scorcher-case/record.json>
- Chinese version: [简体中文](https://awesomerea.org/zh/resources/reverse-engineering-scorcher-case/index.md)

## Requirements & limits

- **Prerequisites:** A copy of Scorcher containing TAGDEN.BIN is required; released game material is not included.
- **Prerequisites:** Python dependencies are listed in requirements.txt.
- **Limits:** Most listed resource types remain undecoded.
- **License:** GPL-3.0 License.

## Primary sources

1. <https://github.com/carlmartus/reverse-engineering-scorcher/blob/bd6e80e9b11696f3a567e45c42b80fea3b9c5d3e/README.md>

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## About this entry

The description was reviewed against primary sources.
Original editorial content: MIT. Linked projects, papers and assets retain their own rights and licenses.