El punto final de Obtener Transcripción devuelve datos de texto estructurados derivados de la entrada de audio. Esto incluye el texto transcrito, las marcas de tiempo y, potencialmente, la identificación del hablante, dependiendo de la complejidad del audio.

Los campos clave en los datos de respuesta suelen incluir "transcripción" (el texto convertido), "idioma" (el idioma detectado) y "confianza" (la puntuación de precisión de la transcripción).

El parámetro principal para el endpoint Get Transcription es el "audio_url", que especifica la ubicación del archivo de audio que se va a transcribir. Los parámetros adicionales pueden incluir "language" para especificar el idioma de transcripción deseado.

Los datos de respuesta están organizados en un formato JSON, con pares clave-valor que representan los resultados de la transcripción. Esta estructura permite una fácil interpretación e integración en aplicaciones.

Los casos de uso típicos incluyen transcribir entrevistas, generar subtítulos para videos, crear notas de reuniones y convertir pódcast en texto para fines de accesibilidad y SEO.

La precisión de los datos se mantiene a través de avanzados algoritmos de reconocimiento de voz y un entrenamiento continuo en diversos conjuntos de datos de audio. Actualizaciones regulares y controles de calidad aseguran una alta fidelidad en la transcripción.

Los usuarios pueden personalizar sus solicitudes especificando el parámetro "idioma" para transcribir audio en diferentes idiomas, lo que mejora la versatilidad de la API para aplicaciones multilingües.

Los patrones de datos estándar incluyen salida de texto claro con puntuación, diferenciación de hablantes en audio complejo y sellos de tiempo para cada segmento, lo que permite a los usuarios rastrear cuándo se pronunciaron frases específicas.

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