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To transcribe audio into text across multiple languages, you can use speech recognition processing to convert spoken recordings into accurate text. This approach supports up to 99 languages and handles multilingual speech processing automatically.

Yes, you can generate timestamped transcripts for podcast recordings and meeting notes. Speech-to-text processing provides configurable timestamps alongside the transcribed text, creating searchable output for automated transcription workflows.

Speech translation does work for converting non-English audio into English text. The transcription process identifies spoken languages in the audio file and applies language processing to translate the speech directly into English text.

The best way to create subtitles from multilingual audio is through automated speech-to-text transcription. This process detects the spoken language, transcribes the audio, and generates text that can be formatted into subtitle files for media workflows.

You do not need to manually configure language detection for multilingual speech processing. The transcription workflow identifies the spoken language automatically, though you can select configurable model sizes to match your audio processing requirements.