★ U+0B10: Technical Specifications for Oriya Letter Ai (ଐ)
The Oriya Letter Ai (“ଐ” U+0B10) is an essential vowel letter used in the Odia (formerly Oriya) script, vital for accurate text rendering in Odia language publications and digital systems. This resource provides developers and typography enthusiasts at iloveunicode.com with the complete technical data, encoding conversions, and usage context for this character.
U+0B10 Oriya Letter Specifications
The character **Oriya Letter Ai** (ଐ) is a key component of the Indic family of scripts. It is categorized as an *Other Letter* and was formally incorporated into the Unicode Standard in **version 1.1 (June, 1993)**. All data related to this codepoint, including its positioning in the **Oriya** block on the **Basic Multilingual Plane**, confirms its compliance with Unicode standards for left-to-right scripts.
Fundamental Unicode Properties
Bidirectional and Script Data
Encoding Conversions and Usage for Oriya Letter Ai (ଐ)
Web and Programming Language Formats
| HTML (decimal) |
ଐ |
| HTML (hex) |
ଐ |
| HTML (named) |
- |
| URL Escape Code |
%E0%AC%90 |
| CSS |
00B10 |
| JavaScript, JSON |
u0B10 |
| C, C++, Java |
u0B10 |
| Python |
u0B10 |
| Rust |
u{0B10} |
| Ruby |
u0B10 |
UTF Byte Encodings (Hexadecimal)
| **UTF-8** |
0xE0 0xAC 0x90 |
| UTF-16 |
0x0B10 |
| UTF-32 |
0x00000B10 |
Direct Input Instructions for ଐ
- Windows ?: Hold Alt, then type 0 B 1 0. Release Alt.
- Mac ?: Hold Alt ⌥, then type 0 B 1 0. Release Alt.
Live Font Rendering Preview for ଐ
ଐ
Times, Times New Roman, serif
ଐ
Helvetica, Arial, sans-serif
ଐ
Courier, Courier New, monospace
Conclusion: Advancing Your Unicode Knowledge
Accurate rendering and encoding of characters like the **Oriya Letter Ai** (ଐ) are fundamental to global digital communication. The detailed technical specifications for the codepoint **U+0B10** provided here ensure developers can maintain data integrity when working with Odia script. With precise technical knowledge from iloveunicode.com, practitioners can achieve robust implementations and avoid encoding pitfalls across platforms.
