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AI-Powered Korean Speech-to-Text for Creators & Educators
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HAN-GUL saves me hours every week on lecture transcription. The AI formatting is surprisingly good.
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Finally, a Korean STT that actually understands context. My meeting notes are now actually usable.
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The speaker labeling feature alone is worth it. Perfect for my podcast interviews.
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μλ νμΈμ μ€λ μμ μκ°μ μ§μ°λκ³ κ·Έλμ μμ±μ΄ μ΄μ΄λΆμ¬μ Έμ λ€μ΄μμ΅λλ€. κ°μ μκ°λ₯Ό μμν κ»μ. 첫λ²μ§Έλ‘ μ€λμ μμ± μΈμμ ν΅μ¬ ν¬μΈνΈλ₯Ό λ€λ£¨κ² μ΅λλ€. λ§μ§λ§μΌλ‘ κ³Όμ μ μΆμΌμ λ€μ μ£Ό μμμΌμ λλ€.
μλ νμΈμ. μ€λ μμ μκ°μ μ§μ°λμκ³ , μμ±μ΄ μ΄μ΄ λΆμ΄ λ€μ΄μμ΅λλ€. κ°μ μκ°λ₯Ό μμνκ² μ΅λλ€. 첫 λ²μ§Έλ‘ μ€λμ μμ± μΈμμ ν΅μ¬ ν¬μΈνΈλ₯Ό λ€λ£¨κ² μ΅λλ€. λ§μ§λ§μΌλ‘ κ³Όμ μ μΆμΌμ λ€μ μ£Ό μμμΌμ λλ€.
κ°μ μμ½: μμ μ μ§μ° μλ΄ ν κ°μ λ΄μ©μ λΉ λ₯΄κ² μλ΄νκ³ , ν΅μ¬μ μμ± μΈμ ν¬μΈνΈ νμ΅μ΄λ€. κ³Όμ μ μΆμΌμ λ€μ μ£Ό μμμΌλ‘ μ 리λλ€.
00:00 μ€νλ λ° μ§μ° μλ΄ 00:12 κ°μ λͺ©ν 00:28 ν΅μ¬ ν¬μΈνΈ μ 리 00:52 κ³Όμ μλ΄
Measured from clean Korean lecture samples. Results vary by audio quality and background noise.
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Captures every nuance β technical jargon, regional accents, fast speech. AI understands context, not just words, so you get transcripts you can actually use.
Automatically identifies and labels each speaker in meetings, interviews, and podcasts. No manual cleanup needed.
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Claude AI restructures the raw transcript into clean, organized text β adding punctuation, paragraphs, speaker labels, and purpose-based formatting.
μλ νμΈμ μ€λ μμ μκ°μ μ§μ°λκ³ κ·Έλμ μμ±μ΄ μ΄μ΄λΆμ¬μ Έμ λ€μ΄μμ΅λλ€ κ°μ μκ°λ₯Ό μμν κ»μ 첫λ²μ§Έλ‘ μ€λμ μμ± μΈμμ ν΅μ¬ ν¬μΈνΈλ₯Ό λ€λ£¨κ² μ΅λλ€
μλ νμΈμ. μ€λ μμ μκ°μ μ§μ°λμκ³ , μμ±μ΄ μ΄μ΄ λΆμ΄ λ€μ΄μμ΅λλ€. κ°μ μκ°λ₯Ό μμνκ² μ΅λλ€. 첫 λ²μ§Έλ‘ μ€λμ μμ± μΈμμ ν΅μ¬ ν¬μΈνΈλ₯Ό λ€λ£¨κ² μ΅λλ€.
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