YUV to PFM Converter

Convert YUV to PFM online — fast image conversion

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Simple Workflow

Three steps: upload YUV, select PFM, download the result. No technical knowledge required to get started.

Batch Processing

Handle multiple YUV files in a single session. Every file converts to PFM independently for organized output.

Fully Browser-Based

Everything happens in your browser tab. No downloads, no extensions — just a clean YUV to PFM conversion workflow.

How to convert YUV to PFM

1

Select files from Computer, Google Drive, Dropbox, URL or by dragging it on the page.

2

Choose pfm or any other format you need as a result (more than 200 formats supported)

3

Let the file convert and you can download your pfm file right afterwards

About formats

YUV is a raw pixel data format storing images in the Y'UV color model, where image data is separated into a luminance component (Y', representing brightness) and two chrominance components (U/Cb and V/Cr, representing color difference signals). The YUV color model originated with analog color television broadcasting — specifically the NTSC system adopted in 1953 and the PAL system in 1967 — where backward compatibility with existing black-and-white receivers required separating brightness from color information. In digital imaging, the ITU-R BT.601 standard (1982) formalized the digital YCbCr encoding derived from the analog YUV model, defining the conversion matrices and sample precision used by virtually all digital video and broadcast systems. YUV raw files contain no header, compression, or metadata — they are flat sequences of luminance and chrominance samples in a specified ordering (4:4:4, 4:2:2, 4:2:0, or other subsampling ratios), requiring external specification of dimensions, bit depth, and subsampling scheme. The 4:2:0 subsampling mode (where chrominance has half the horizontal and half the vertical resolution of luminance) is particularly common, used by H.264, H.265, AV1, and most consumer video codecs. One advantage is direct video pipeline compatibility: YUV data is the native input format for video encoders, hardware display controllers, and camera sensor ISPs, making raw YUV the most direct representation for frame-accurate video processing and analysis. The perceptual efficiency of the YUV color model is another fundamental strength — separating luma from chroma enables effective subsampling that halves or quarters the color data with minimal visible impact. YUV data is processed by FFmpeg, ImageMagick, and all video processing tools.
Developer: ITU-T (CCIR)
Initial release: 1982
PFM (Portable Float Map) is a floating-point raster image format devised by Paul Debevec around 2001, designed to store high-dynamic-range image data with the simplicity of the Netpbm family of formats. PFM extends the PBM/PGM/PPM philosophy — minimal header, raw data, no compression — to 32-bit IEEE floating-point samples, providing direct access to HDR pixel values without the encoding overhead of formats like OpenEXR or the limited range of Radiance HDR's RGBE encoding. The file structure is deliberately minimal: a two-character magic number ('Pf' for grayscale, 'PF' for color), width and height on the next line, a scale/endianness indicator (negative for little-endian, positive for big-endian, with magnitude indicating scale factor), and then the raw 32-bit float data for each pixel. PFM files store one float per pixel for grayscale or three floats (RGB) per pixel for color, with no compression, alpha channel, or metadata support. The format emerged from the HDR imaging research community where Debevec's work on image-based lighting and light stage capture required a simple, unambiguous way to store linear floating-point radiance values that could be easily exchanged between research tools. One advantage is absolute simplicity for HDR data: PFM can be read and written in a few lines of code in any language that supports IEEE floats, with no library dependencies — ideal for research prototyping and quick data exchange between custom tools. The format's widespread adoption in the computer vision and computational photography research community is another practical strength — optical flow benchmarks (Middlebury), depth estimation datasets, and radiance field captures commonly use PFM. The format is supported by ImageMagick, OpenCV, HDR Shop, and Luminance HDR.
Developer: Paul Debevec
Initial release: 2001

Frequently Asked Questions

Why convert YUV to PFM?

Converting YUV to PFM lets you turn raw video frame data into viewable images for inspection or sharing — PFM is widely recognized and easy to share.

How do I open PFM files?

Open PFM files with HDR imaging tools, GIMP. Most operating systems handle PFM natively or with built-in viewers.

How long does YUV to PFM conversion take?

Typically just a few seconds. Processing time scales with file size, but the cloud infrastructure handles it fast.

Can I convert multiple YUV files at once?

Batch conversion is supported — upload several YUV files and each will be independently converted to PFM format.

Is my YUV data kept private?

Your files stay private. Source YUV data is removed post-conversion, and PFM output is cleared within 24 hours.

What platforms support this conversion?

Any device with a web browser can run this conversion. Desktop, laptop, tablet, or phone — all supported equally.