Automatically insert spaces between Chinese and English characters to optimize mixed text formatting.
Enter text to add spaces between Chinese and English

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Look up exact millimeter dimensions for D0 to D6 series paper based on the GB/T 19999-2003 national standard, suitable for book, magazine, and office paper design.

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Gestational Age Calculator
Accurately calculate fetal gestational age using your Last Menstrual Period (LMP) or ultrasound measurements (CRL, BPD, HC, FL) to estimate your due date and track fetal development.

Random Decimal Generator
Generate random decimals with a specified range, decimal places, and quantity. Ideal for data analysis, simulation experiments, and more.

Chinese D-Series Paper Size Lookup
Look up exact millimeter dimensions for D0 to D6 series paper based on the GB/T 19999-2003 national standard, suitable for book, magazine, and office paper design.

Random Phone Number Generator
Generate random phone numbers by country, carrier, and prefix on demand for development, testing, and data simulation.

Random Email Generator
Bulk generate random email addresses for testing and sign-ups with custom prefixes and domains.
When Chinese and English text are mixed, characters placed too closely together can cause reading difficulties. This tool uses Unicode character recognition technology to automatically insert standard spaces between Chinese characters and English letters, numbers, or punctuation. For example, it turns "Python编程" into "Python 编程", significantly improving text readability.
Q: Is it necessary to add spaces between Chinese and English text?
Yes. According to standard Chinese typography guidelines, spaces should be inserted in mixed Chinese and English text to improve readability.
Q: Will this tool change the original punctuation types?
No. This tool only adds spaces and does not alter the original full-width or half-width punctuation attributes.
We recommend processing plain text. The presence of HTML or Markdown tags may affect recognition accuracy. Please do not re-process text that has already been correctly formatted.
Typical input/output example:
Input: "学习AI技术3.0版本"
Output: "学习 AI 技术 3.0 版本"
We also recommend using this tool to optimize code comments, such as changing "#定义变量" to "# 定义变量".