How accurate is Whisper for Hebrew transcription?

Whisper handles clear Hebrew speech well, but struggles with transliterated foreign terms (brand names, English loanwords spoken in a Hebrew sentence), RTL/LTR punctuation boundaries, and speaker overlap - all of which need a deterministic post-processing pass, not a full re-transcription.

How do you generate Hebrew subtitles automatically?

Run the audio through Whisper to get word-level timestamps and a raw Hebrew transcript, then apply a term-correction pass against a maintained glossary of brand and product names, followed by an RTL-aware formatting pass for punctuation and line breaks.

What does an RTL subtitle workflow actually need to handle?

Mixed-direction lines (Hebrew text containing an English brand name or number), correct punctuation placement in RTL context, and subtitle timing that respects natural Hebrew reading speed, which differs from English.

Is machine-only Hebrew transcription good enough to publish?

Not reliably. A deterministic correction pass for known terms and a spot-check for garbled foreign words are both necessary before subtitles are production-ready - the failure modes are consistent enough to be caught automatically most of the time.

Automatic Hebrew Subtitles with Whisper

Whisper transcribes Hebrew reasonably well out of the box, but production-quality subtitles need an extra pass: fixing transliterated terms, correcting RTL punctuation, and catching foreign-word garbling before it reaches the video.