Speech to text (OpenAI API guide)

“Avoid splitting in the middle of a sentence, which can remove context and reduce accuracy.” (Longer inputs section)

“Send the audio file to /v1/audio/transcriptions with gpt-transcribe” (Transcriptions quickstart)

“This is the recommended model for transcribing recorded speech in its original language.” (File transcription section)

“Use a specialized model only if you need speaker labels, word timestamps, subtitle formats, or translation into English.” (Opening section on model choice)

“Supported input formats are mp3 , mp4 , mpeg , mpga , m4a , wav , and webm .” (Transcriptions API section)

“Authorization: Bearer $OPENAI_API_KEY” (Quickstart example (curl))

“The Transcriptions API accepts files up to 25 MB. For larger recordings, use a compressed audio format or split the file into chunks of 25 MB or less.” (Longer inputs)

“This endpoint supports translation into English only.” (Translations section)

“To translate a completed audio recording into English, use /v1/audio/translations with whisper-1” (Translations)

“Whisper supports 98 languages, but accuracy varies by language.” (Language section)

“Whisper doesn’t follow instructions like a general-purpose text model and accepts prompts of up to 224 tokens.” (Improving reliability, prompt parameter)

“Existing gpt-4o-transcribe , gpt-4o-mini-transcribe , and gpt-4o-transcribe-diarize integrations also support file streaming. whisper-1 doesn’t.” (Streaming transcriptions section)

“Use gpt-4o-transcribe-diarize only when you need to identify who speaks during different parts of a recording.” (Speaker diarization section)