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  <Header>
    <ArticleTitle>OTTER.AI: AI-DRIVEN TRANSCRIPTION SYSTEMS</ArticleTitle>
  </Header>
  <ArticleParameters>
    <ArticleReceivingDate>2026-01-05</ArticleReceivingDate>
    <ArticleRevisedDate>2026-01-16</ArticleRevisedDate>
    <ArticleAcceptanceDate>2026-01-20</ArticleAcceptanceDate>
    <ArticlePublishedOn>1/30/2026 12:00:00 AM</ArticlePublishedOn>
    <Journal>Scientific Analytica</Journal>
    <Volume>2</Volume>
    <Year>2026</Year>
    <ArticleType>Mini-review</ArticleType>
    <FirstPage>1</FirstPage>
    <LastPage>6</LastPage>
    <CollectionYear>2026</CollectionYear>
    <PublisherId>ID N-5730-2015</PublisherId>
    <Language>English</Language>
  </ArticleParameters>
  <Authors>
    <ArticleAuthors>Taha Nazir</ArticleAuthors>
  </Authors>
  <keywords>
    <Articlekeywords>Otter.ai, AI transcription, speech-to-text automation, real-time collaboration</Articlekeywords>
  </keywords>
  <Abstract>
    <ArticleAbstract>Otter.ai represents a sophisticated artificial intelligence (AI)-driven transcription and collaboration platform that employs advanced automatic speech recognition (ASR) and natural language processing (NLP) technologies to convert spoken language into precise, searchable textual formats in real time. ASR involves the computational analysis of audio signals to identify phonetic units and map them to linguistic representations</ArticleAbstract>
  </Abstract>
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