ReNikud introduces a novel audio-supervised approach for Hebrew grapheme-to-phoneme conversion, using weak audio supervision and a pseudo-vocalization architecture. It outperforms prior state-of-the-art methods on Hebrew G2-Ph benchmarks and the new MILIM benchmark, enabling more natural spoken Hebrew in text-to-speech applications.