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Decode Unicode code points (U+XXXX format) to readable text with UTF-8/UTF-16 support, emoji handling, surrogate pair processing, character name lookup, and multi-byte character decoding for Unicode text analysis and international character processing.
Note: AI can make mistakes, so please double-check it.
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Common questions about this tool
Paste Unicode code points in U+XXXX format (like U+0048 U+0065 U+006C U+006C U+006F) into the decoder. The tool converts each code point to its corresponding character, supporting all Unicode characters including emojis and international text.
The decoder supports U+XXXX format, decimal code points, and hexadecimal values. It handles UTF-8 and UTF-16 encodings, making it compatible with various Unicode representations used in programming and data processing.
Yes, the decoder fully supports emojis, special symbols, and all Unicode characters. Simply provide the Unicode code points (like U+1F600 for 😀) and the decoder converts them to the actual characters.
Use the Unicode encoder tool to convert text to Unicode code points. It shows the U+XXXX format for each character, which you can then decode back using this decoder tool.
UTF-8 uses 1-4 bytes per character and is backward compatible with ASCII. UTF-16 uses 2-4 bytes and is common in Windows systems. The decoder handles both encodings to properly decode Unicode characters.
Verified content & sources
This tool's content and its supporting explanations have been created and reviewed by subject-matter experts. Calculations and logic are based on established research sources.
Scope: interactive tool, explanatory content, and related articles.
ToolGrid — Product & Engineering
Leads product strategy, technical architecture, and implementation of the core platform that powers ToolGrid calculators.
ToolGrid — Research & Content
Conducts research, designs calculation methodologies, and produces explanatory content to ensure accurate, practical, and trustworthy tool outputs.
Based on 2 research sources:
Learn what this tool does, when to use it, and how it fits into your workflow.
This tool converts encoded Unicode representations into readable text. It understands many common formats such as \uXXXX, U+XXXX, HTML entities, percent-encoded Unicode, and hex literals.
Unicode representations appear in source code, logs, network payloads, HTML, and configuration files. While they are machine-friendly, people often need to see the actual characters. Manually translating these codes to characters is slow and error-prone.
The Unicode Decoder solves this by scanning your input for known Unicode patterns, decoding them safely, and showing the resulting text along with information about the formats it detected. It also provides an optional AI analysis panel to explain the encoding type and script in simple language.
The tool is built for developers, localization engineers, security analysts, and learners who work with international text, emojis, and mixed encodings.
Unicode is a universal character set that assigns a unique code point to every character in almost every writing system. Code points are usually written as U+XXXX, where XXXX is a hexadecimal number. For example, U+0041 represents the letter A, and U+1F600 represents the 😀 emoji.
Programming languages and protocols often use escape sequences to represent these code points. JavaScript, Java, and C++ use \uXXXX or \u{XXXX}. HTML uses entities like &#xXXXX; for hex and &#DDDD; for decimal. Some older systems use %uXXXX in URLs. In addition, hex literals such as \xXX may appear in code or logs. A related operation involves encoding Unicode characters as part of a similar workflow.
Each of these formats encodes Unicode code points differently, but they all aim to describe the same underlying characters. When debugging or analyzing text, you often see encoded forms instead of actual characters. To understand the real content, you must decode these representations.
Manually decoding requires recognizing each pattern, extracting numeric values, converting them to code points, and then mapping them to characters. This becomes difficult when multiple formats appear in one string or when inputs are malformed. The Unicode Decoder automates these steps and handles many edge cases.
\uXXXX, \u{XXXX}, U+XXXX notation, HTML hex entities, HTML decimal entities, %uXXXX percent-encoded sequences, and \xXX hex literals.%20 or %E2%9C%93, the decoder attempts a standard URL decode as a final fallback. This can reveal additional Unicode characters hidden behind URL encoding.Decoding escaped strings from source code: When you see strings like "Hello \u0041\u0042" in JavaScript or JSON, you can paste them into the tool to see the actual characters. This is useful when debugging or reviewing code transformations.
Analyzing HTML entities: Log files or API responses may contain entities like 😀 or 😀. The decoder converts these into the emoji or symbols they represent.
Cleaning URL-encoded Unicode: Some systems store Unicode as percent-encoded sequences like %u00E9 or mixed %E2%9C%93 patterns. The tool decodes these to real characters so you can process or display them correctly. For adjacent tasks, decoding hexadecimal values addresses a complementary step.
Reverse engineering encoded data: Security researchers and analysts often encounter encoded text in logs, HTTP parameters, or obfuscated scripts. The decoder helps quickly reveal the actual Unicode characters behind the encoding.
Localization and internationalization checks: Localization engineers may receive resources with escaped Unicode instead of visible characters. Decoding them helps verify translations and spot encoding issues.
The core decodeUnicode function begins by checking for empty or whitespace-only input. If the input is empty, it returns a default result with no format, empty decoded text, no errors, and a “Waiting for input...” message.
For non-empty input, it initializes variables: decoded (initially the same as input), detectedFormats (an array of strings), and a hasErrors flag.
It then checks for JavaScript-style Unicode escapes. First it looks for \u{XXXX} sequences using a regular expression. For each match, it parses the hex value inside the braces to a code point, ensures it does not exceed 0x10FFFF, and uses String.fromCodePoint to produce a character. Then it looks for standard \uXXXX sequences and converts each four-digit hex value to a 16-bit code unit using String.fromCharCode. Any parsing issues set the error flag. When working with related formats, decoding URL strings can be a useful part of the process.
Next, it looks for U+XXXX notation. For each match, it parses the hex value after U+ as a code point, checks for range validity, and converts it to a character with String.fromCodePoint. Errors again set the hasErrors flag but do not stop processing.
For HTML hex entities, the function searches for &#xXXXX; patterns. It parses the hex number between &#x and ;, converts to a code point, validates, and uses String.fromCodePoint. Non-numeric or out-of-range values are replaced with U+FFFD.
HTML decimal entities use similar logic. The function detects &#DDDD; patterns, parses the decimal number, converts to a code point, validates, and maps to characters.
It then looks for %uXXXX percent-encoded Unicode. Each four-digit hex value is parsed as a 16-bit code unit and converted to a character using String.fromCharCode, again with range checks and fallbacks for invalid codes.
For hex literals in code such as \xXX, the function parses the two hex digits, validates the resulting value, and converts it to a character. Invalid bytes become U+FFFD, and the error flag is set. In some workflows, url decoder operations is a relevant follow-up operation.
Finally, if the decoded string is identical to the original input but percent patterns like %3C are present, the function attempts a standard decodeURIComponent call. If this produces different output, it appends “URL Encoded” to the detected formats and updates the decoded text.
At the end, it constructs a message. If any formats were detected, the message is “Detected: [format list]”. Otherwise, it says “No specific encoding pattern detected. Displaying as plain text.” The result object uses the first detected format as the primary format label or “Plain Text” if none were detected.
| Pattern | Example | Description |
|---|---|---|
| Unicode Escape | \u0041 | JavaScript-style escape representing A |
| Unicode Code Point | U+1F600 | Standard notation for 😀 |
| HTML Hex Entity | 😀 | HTML entity for 😀 |
| HTML Decimal Entity | 😀 | Decimal entity for 😀 |
| Percent Unicode | %u0041 | Legacy URL-style encoding for A |
| Hex Literal | \x41 | Hex byte literal for A |
Ensure correct escape syntax: Small mistakes such as missing braces, missing semicolons, or wrong prefixes can prevent decoding. If the tool reports no detected formats, double-check your syntax.
Understand that multiple formats may coexist: It is common to see a string with a mix of \uXXXX, HTML entities, and URL-encoded parts. The decoder is designed to handle such mixtures, but very unusual nesting may still require manual review.
Be cautious with untrusted input: Decoded output can contain arbitrary Unicode, including control characters or sequences that might behave differently in various displays. Avoid blindly rendering decoded text in production UIs without proper sanitization. For related processing needs, decoding binary strings handles a complementary task.
Use AI analysis for insight, not authority: AI-generated descriptions of encoding type and script can be helpful, but always confirm with your own checks, especially in security-sensitive contexts.
Preserve original input: When troubleshooting encoding issues, keep a copy of the raw encoded string alongside the decoded result. This helps when you need to compare or reproduce behavior later.
Check error flags: The hasErrors flag in the result indicates that one or more decoding paths encountered problems. Even if decoded text is produced, review the message and, if needed, adjust your input.
Use the tool iteratively: For complex inputs, decode, review, adjust, and decode again. For example, you might first decode URL encoding, then feed the result back if it still contains Unicode escapes.
Know the limits of automatic detection: While the tool recognizes many patterns, there are always new or custom encodings. When detection fails, treat the result as plain text and investigate further with specialized tools.
Test around boundary cases: When working with surrogate pairs or high code points near 0x10FFFF, verify that decoded characters appear as expected in your target environment.
Use for learning and documentation: Because the tool highlights which formats it detected, it can serve as a teaching aid or as part of documentation for showing how different Unicode notations map to visible characters.
We’ll add articles and guides here soon. Check back for tips and best practices.
Summary: Decode Unicode code points (U+XXXX format) to readable text with UTF-8/UTF-16 support, emoji handling, surrogate pair processing, character name lookup, and multi-byte character decoding for Unicode text analysis and international character processing.