Basic Configuration
Higher error correction level allows the QR code to withstand more damage, but makes it more complex
Width of the generated QR code (pixels)
White space around the QR code, in module units
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Higher error correction level allows the QR code to withstand more damage, but makes it more complex
Width of the generated QR code (pixels)
White space around the QR code, in module units
QR Code Generator is a powerful online tool that helps you quickly generate high-quality QR codes. It supports customizing colors, sizes, error correction levels and other parameters. You can also add logos to make QR codes more personalized. Generated QR codes can be exported in PNG, JPEG, WebP or SVG formats, suitable for various use cases.
A: Error correction level determines how much damage a QR code can withstand while still being correctly recognized. Level L can recover about 7% of data, M 15%, Q 25%, H 30%. If you want to add a logo or worry about the QR code being obscured, it's recommended to choose Q or H level. For daily use, M level is usually sufficient.
A: No. All QR code generation processing is done locally in your browser and will not be uploaded to any server, fully protecting your data privacy.
A: The logo should not be too large, it's recommended not to exceed 20% of the QR code size. Also, choosing a higher error correction level (Q or H) can improve recognition success rate after adding a logo.
A: PNG is a bitmap format, suitable for direct use on web pages and applications; SVG is a vector format that can be infinitely scaled without losing quality, suitable for printing or scenarios requiring high-quality output.
A: This depends on the error correction level and data type. Generally, pure numbers can contain thousands of characters, alphanumeric can contain hundreds to over a thousand characters, and Chinese or Unicode characters will be less. The more content, the more complex and dense the QR code will be.
QR codes use Reed-Solomon error correction codes to implement error correction functionality. This algorithm can recover original data through redundant information when some data is lost or damaged. The higher the error correction level, the more redundant information is needed, and the more complex the QR code will be.
Embedding a logo in the center of a QR code requires precise calculation of the logo's size and position, while ensuring that it doesn't cover critical positioning points and data areas. Usually, the logo should be placed in the center of the QR code, and the size should not exceed 20-30% of the QR code area (depending on the error correction level).
QR code scanning relies on the contrast between dark and light areas. To ensure recognizability, the contrast between foreground and background colors should be sufficiently large. Dark colors should be used for data modules, and light colors for the background. Inappropriate color choices may cause the QR code to be unrecognizable by scanners.
SVG format provides vector output that can be scaled losslessly. While bitmap formats like PNG need to determine resolution at generation time. The tool supports rendering QR codes to bitmaps using Canvas API and exporting via Data URL or Blob methods.
QR Code (Quick Response Code) is a type of 2D barcode invented by Denso Wave, Japan in 1994. Compared to traditional 1D barcodes, QR codes can store more information, including various data types such as text, URLs, and contact information.
The error correction capability level of QR codes, divided into four levels: L, M, Q, H, which can recover approximately 7%, 15%, 25%, 30% of data respectively. The higher the error correction level, the more redundant data in the QR code, and the greater the degree of damage it can withstand.
Square markers at the corners of QR codes (usually three), used to help scanners determine the position, size and rotation angle of the QR code. These markers are crucial for QR code recognition and cannot be obscured.
A method of directly embedding image data into HTML or CSS, formatted as data:[<mediatype>][;base64],<data>. Using Data URLs can reduce HTTP requests but increases the size of HTML documents.
An XML-based vector image format. SVG images can be infinitely scaled without losing quality, suitable for scenarios requiring high-quality output or printing.
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