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Documentation Index

Fetch the complete documentation index at: https://notes.kodekloud.com/llms.txt

Use this file to discover all available pages before exploring further.

OpenAI Whisper is a powerful Foundation Model optimized for high-precision audio transcription and real-time speech translation. Whether you want to convert spoken content into text or translate non-English audio into English, Whisper delivers with a straightforward API interface.

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Key Capabilities

CapabilityDescription
TranscriptionConvert spoken content from supported formats (e.g., MP3, WAV, FLAC) into written text.
TranslationTranscribe audio recorded in a foreign language and translate the resulting text into English.
Whisper supports multiple audio formats and language pairs out of the box. For optimal accuracy, use audio files encoded at 16 kHz.
In this lesson, we’ll walk through:
  1. Uploading an audio file to the Whisper API
  2. Invoking the transcription endpoint
  3. Processing and analyzing the transcription result
  4. Translating non-English audio into English
Let’s get started!

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