Harikrishna Font to Shruti Converter — Short Guide & Script What it is A Harikrishna→Shruti converter transliterates text encoded in the legacy Harikrishna (Kruti Dev-like) Devanagari font encoding into Unicode Devanagari using the Shruti font (which uses standard Unicode Devanagari code points). This is useful for converting old documents typed in legacy fonts into modern, interoperable Unicode text. Conversion approach (rules summary)
Legacy fonts place Devanagari glyphs at ASCII/ANSI code points; mapping must replace each legacy glyph with the correct Unicode character(s). Handle consonant clusters: insert virama (्, U+094D) where the legacy font used conjunct glyphs. Re-order matras (vowel signs) as needed — in legacy encodings some vowel signs appear before the consonant visually but map after in Unicode. Preserve punctuation and numerals; convert legacy numerals to Devanagari digits if used. Normalization: apply Unicode NFC after mapping.
Minimal mapping example (illustrative; real mapping requires full table)
Legacy 'f' → क (U+0915) Legacy 'd' → ख (U+0916) Legacy 'k' → त (U+0924) Legacy 'e' → ा (U+093E) (vowel sign aa) Legacy ';' → ् (U+094D) (halant/virama) Legacy ']' → ं (U+0902) (anusvara)
(These are examples only. A complete Harikrishna mapping has ~200–300 entries.) Python script (skeleton) # Harikrishna to Shruti (Unicode Devanagari) - minimal skeleton # NOTE: You must fill `mapping` with the full legacy->unicode table.
import re import unicodedata
mapping = { 'f': '\u0915', # क 'd': '\u0916', # ख 'k': '\u0924', # त 'e': '\u093E', # ा ';': '\u094D', # ् ']': '\u0902', # ं # ... add full mapping ... }
# Re-order function for vowel signs that appear before consonant in legacy fonts pre_vowel_chars = set(['\u093F']) # example: 'ि' needs reordering
def convert_text(text): # naive one-to-one replacement result = [] for ch in text: result.append(mapping.get(ch, ch)) s = ''.join(result)
# Example reordering: move pre-base vowel signs after previous consonant s = re.sub(r'(\u0915|\u0916|\u0924)(\u093F)', r'\1\2', s) # placeholder return unicodedata.normalize('NFC', s)
if __name__ == '__main__': sample = "fek" # legacy sample print(convert_text(sample))
Usage notes
Harikrishna Font to Shruti Converter — Short Guide & Script What it is A Harikrishna→Shruti converter transliterates text encoded in the legacy Harikrishna (Kruti Dev-like) Devanagari font encoding into Unicode Devanagari using the Shruti font (which uses standard Unicode Devanagari code points). This is useful for converting old documents typed in legacy fonts into modern, interoperable Unicode text. Conversion approach (rules summary)
Legacy fonts place Devanagari glyphs at ASCII/ANSI code points; mapping must replace each legacy glyph with the correct Unicode character(s). Handle consonant clusters: insert virama (्, U+094D) where the legacy font used conjunct glyphs. Re-order matras (vowel signs) as needed — in legacy encodings some vowel signs appear before the consonant visually but map after in Unicode. Preserve punctuation and numerals; convert legacy numerals to Devanagari digits if used. Normalization: apply Unicode NFC after mapping.
Minimal mapping example (illustrative; real mapping requires full table)
Legacy 'f' → क (U+0915) Legacy 'd' → ख (U+0916) Legacy 'k' → त (U+0924) Legacy 'e' → ा (U+093E) (vowel sign aa) Legacy ';' → ् (U+094D) (halant/virama) Legacy ']' → ं (U+0902) (anusvara) harikrishna font to shruti converter
(These are examples only. A complete Harikrishna mapping has ~200–300 entries.) Python script (skeleton) # Harikrishna to Shruti (Unicode Devanagari) - minimal skeleton # NOTE: You must fill `mapping` with the full legacy->unicode table.
import re import unicodedata
mapping = { 'f': '\u0915', # क 'd': '\u0916', # ख 'k': '\u0924', # त 'e': '\u093E', # ा ';': '\u094D', # ् ']': '\u0902', # ं # ... add full mapping ... } Harikrishna Font to Shruti Converter — Short Guide
# Re-order function for vowel signs that appear before consonant in legacy fonts pre_vowel_chars = set(['\u093F']) # example: 'ि' needs reordering
def convert_text(text): # naive one-to-one replacement result = [] for ch in text: result.append(mapping.get(ch, ch)) s = ''.join(result)
# Example reordering: move pre-base vowel signs after previous consonant s = re.sub(r'(\u0915|\u0916|\u0924)(\u093F)', r'\1\2', s) # placeholder return unicodedata.normalize('NFC', s) Handle consonant clusters: insert virama (्, U+094D) where
if __name__ == '__main__': sample = "fek" # legacy sample print(convert_text(sample))
Usage notes