Convert Raw Pixel Buffer to JPEG

Convert a headerless raw pixel buffer file to a JPEG image. You must provide the image dimensions, channel count, and bit depth.

Use this tool only when you already have a headerless raw pixel buffer and know its exact layout. It does not decode camera RAW photo containers such as DNG, ARW, CR2, or NEF. The uploaded bytes are interpreted strictly according to the width, height, channel count, and bit depth you provide.

Click to upload file or drag and drop file here

Maximum file size: 200MB

Key Facts

Category
Images, Audio & Video
Input Types
file, text, select
Output Type
file
Sample Coverage
4
API Ready
Yes

Overview

Convert headerless raw pixel buffer files into standard JPEG images instantly. This tool interprets raw binary image data directly based on your specified width, height, color channels, and bit depth, bypassing the need for image headers. Note that it does not decode camera RAW formats like DNG, ARW, or CR2.

When to Use

  • When you have a raw binary dump of pixel data from a camera sensor, frame grabber, or graphics memory and need to view it as a JPEG.
  • When debugging custom image processing pipelines or embedded systems that output headerless raw pixel buffers.
  • When you need to convert raw grayscale, RGB, or RGBA byte arrays into compressed JPEG files with custom quality settings.

How It Works

  • Upload your headerless raw pixel buffer file containing the raw binary data.
  • Specify the exact image dimensions (width and height in pixels), the number of color channels (1 to 4), and the input bit depth (8-bit or 16-bit).
  • Adjust the optional JPEG quality setting (1-100) to control the compression level.
  • Click convert to parse the raw bytes according to your layout parameters and download the generated JPEG image.

Use Cases

Visualizing raw frame buffers extracted from embedded camera modules during hardware debugging.
Converting raw simulation outputs from scientific computing applications into viewable JPEG images.
Inspecting raw GPU texture dumps or memory buffers by rendering them with custom channel and dimension parameters.

Examples

1. Debugging Embedded Camera Frame Buffer

Embedded Systems Engineer
Background
An engineer is working on an STM32 microcontroller project that captures image data from an OV7670 camera module. The system dumps the raw RGB frame buffer directly to an SD card without any BMP or JPEG headers.
Problem
The engineer needs to verify if the camera sensor is capturing the scene correctly, but standard image viewers cannot open the raw binary dump.
How to Use
Upload the raw binary dump file, set the width to 640, height to 480, select 3 channels (RGB), set bit depth to 8-bit, and click convert.
Example Config
Width: 640, Height: 480, Channels: 3 (RGB), Bit Depth: 8-bit, Quality: 90
Outcome
The raw binary data is successfully converted into a standard 640x480 JPEG image, allowing the engineer to visually inspect the camera output.

2. Converting Grayscale Sensor Data

Computer Vision Researcher
Background
A researcher is working with a custom infrared sensor that outputs raw 16-bit grayscale pixel arrays. They need to quickly inspect the output frames to check for sensor noise.
Problem
The raw sensor output is a headerless 16-bit binary file that cannot be opened by standard image processing software without writing custom Python scripts.
How to Use
Upload the raw 16-bit file, set the width to 1280, height to 720, select 1 channel (Grayscale), set the bit depth to 16-bit, and convert.
Example Config
Width: 1280, Height: 720, Channels: 1 (Grayscale), Bit Depth: 16-bit, Quality: 85
Outcome
The tool converts the 16-bit raw grayscale buffer into a viewable 8-bit JPEG image, making it easy to identify sensor noise patterns.

Try with Samples

image, jpg, file

Related Hubs

FAQ

Can I use this tool to convert camera RAW files like .NEF, .CR2, or .ARW?

No, this tool only processes headerless raw pixel buffers (raw byte arrays). It does not support camera RAW container formats.

What happens if I enter the wrong width or height?

The raw bytes will be misaligned, resulting in a scrambled, skewed, or distorted image. You must provide the exact dimensions of the pixel buffer.

Which color channel configurations are supported?

The tool supports 1 (Grayscale), 2 (Grayscale + Alpha), 3 (RGB), and 4 (RGBA) channels.

Does the tool support 16-bit raw data?

Yes, you can select either 8-bit or 16-bit per channel depth to match your raw input buffer.

What is the maximum file size I can upload?

You can upload raw pixel buffer files up to 200 MB in size.

API Documentation

Request Endpoint

POST /en/api/tools/raw-to-jpg

Request Parameters

Parameter Name Type Required Description
imageFile file (Upload required) Yes -
width text Yes -
height text Yes -
channels select Yes -
bitDepth select Yes -
quality text No -

File type parameters need to be uploaded first via POST /upload/raw-to-jpg to get filePath, then pass filePath to the corresponding file field.

Response Format

{
  "filePath": "/public/processing/randomid.ext",
  "fileName": "output.ext",
  "contentType": "application/octet-stream",
  "size": 1024,
  "metadata": {
    "key": "value"
  },
  "error": "Error message (optional)",
  "message": "Notification message (optional)"
}
File: File

AI MCP Documentation

Add this tool to your MCP server configuration:

{
  "mcpServers": {
    "elysiatools-raw-to-jpg": {
      "name": "raw-to-jpg",
      "description": "Convert a headerless raw pixel buffer file to a JPEG image. You must provide the image dimensions, channel count, and bit depth.",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=raw-to-jpg",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

You can chain multiple tools, e.g.: `https://elysiatools.com/mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp`, max 20 tools.

Supports URL file links or Base64 encoding for file parameters.

If you encounter any issues, please contact us at [email protected]