Google Audio Tool

The Google Audio Tool analyzes core audio specs to forecast transcription readiness and indexing potential for Google platforms. It targets podcast producers and video editors seeking measurable improvements in accessibility and search performance. Primary inputs include duration, sample_rate_hz, bitrate_kbps, channels, and optional language. The tool outputs metrics and targets that map to production settings.
Algorithms compute loudness normalization using LUFS targets, estimate transcript time, and generate an indexing readiness score that blends audio quality, clarity proxies, and sampling adequacy. Outputs include recommended_lufs, recommended_bitrate_kbps, and estimated_transcript_minutes, plus a readiness score and an indexing score.
Core features differentiate itself by explicit alignment with Google indexing considerations, transparent formulas (size estimates, transcription time, and LUFS-based targets), and exportable metadata suitable for podcast RSS or video metadata. Optional batch processing extends use to libraries of episodes.
Use cases include pre-release audits, archival cleanups, and new episode planning to hit accessibility and discoverability goals.