Convert RW2 to BMP

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Max file size 100mb.

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RW2 vs BMP Format Comparison

Aspect	RW2 (Source Format)	BMP (Target Format)
Format Overview	RW2 Panasonic RAW Format RAW image format capturing unprocessed sensor data and metadata from Panasonic cameras. RAW	BMP Bitmap Image File Raster format storing uncompressed or RLE-compressed pixel data with exact fidelity. Uncompressed
Compression	Minimal or lossless compression preserving full sensor data.	Uncompressed or RLE-compressed; no quality loss.
Color Depth	12-bit or 14-bit per channel RAW data for high dynamic range.	Supports up to 24-bit RGB and optional alpha in BMP v4.
File Size	Large files (20–60 MB) containing RAW and metadata.	Large (5–50 MB) depending on resolution and bit depth.
Processing Stage	Unprocessed RAW data requiring development software.	Processed bitmap, ready for editing and archival.
Advantages	Maximum image quality and detail retention Full access to sensor data and metadata	Exact pixel fidelity; no compression artifacts Wide compatibility with image editors
Disadvantages	Requires specialized RAW converters Large storage requirements	Very large file sizes No alpha or animation support

Why Convert RW2 to BMP?

Converting Panasonic RW2 RAW images to BMP ensures lossless, uncompressed output with exact pixel fidelity. This format is ideal for workflows requiring precise image data, such as low-level processing tasks and archival storage.

BMP’s straightforward, uncompressed structure allows immediate compatibility with a wide range of graphics software and programming libraries without needing specialized RAW decoding. This is beneficial for scientific imaging, machine vision, and legacy applications.

Batch conversion enables fast processing of large numbers of RAW files into BMP, streamlining workflows for developers, researchers, and archivists. Despite larger file sizes, the simplicity and universality of BMP format make it a dependable choice for preserving maximum image detail.

Key Benefits:

Uncompressed, pixel-accurate images
Broad compatibility with software and libraries
Fast decoding and predictable performance
Ideal for archival and specialized image processing