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Audio Audit is an automated quality checker for podcasts and spoken-word audio. Upload an episode (or point it at your feed) and it produces a plain-English report on the things listeners actually notice: integrated loudness, true peak, background noise, silences, clipped audio, and broken metadata or cover art. Since August 2026 it also fixes what it finds. Every report ends with an "Enhance this episode" panel where the fixes matching the problems found come pre-ticked: noise reduction, speech levelling (compression), loudness normalisation with presets for podcast platforms (−16 LUFS), YouTube and ACX audiobooks, and clean metadata tagging with embedded artwork. Everything runs as a single pass — decoded once, processed at full resolution, encoded once — and if metadata is all you select, the audio isn't re-encoded at all. The processing is measured, not AI: the noise profile is built from your own recording's quietest moments, the compressor threshold from your measured speech level, and nothing is synthesised. Because the fixes and the checks share the same measurements, you can re-run the report on the enhanced file and verify the numbers agree. It works alongside any editor or DAW rather than replacing it, and suits solo podcasters through to editors and networks managing multiple shows. Pricing is credit-based — priced per audio-minute, estimate shown before you commit, failed jobs never charged — with a free tier and one-off top-up bundles, so no subscription is required.
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Bridge.audio is a cloud-based SaaS platform designed to streamline the workflow of music and audio professionals by centralizing the storage, management, and sharing of audio assets. Founded in 2019, it integrates AI-driven music analysis to enhance discoverability in areas such as synchronization (sync), promotions, and A&R activities. By consolidating functionalities akin to iTunes, SoundCloud, WeTransfer, and Dropbox into a collaborative workspace, Bridge.audio eliminates the need for multiple tools, allowing users to focus solely on their music. Key Features and Functionality: - AI Music Analyzer: Utilizes advanced AI algorithms to automatically tag and categorize music based on genre, mood, instrumentation, and lyrical content, facilitating precise searches across extensive catalogs. - Smart Workspaces: Provides secure, collaborative environments where users can store audio assets, manage metadata, and share content with team members and clients seamlessly. - Discovery Hubs: Offers specialized marketplaces that connect rights holders with music buyers, enhancing the visibility of music catalogs to professionals in the audiovisual industry. - Dynamic Sharing Links: Enables the creation of customizable, non-expiring links for sharing press kits, showreels, and sync selections, with the ability to update content and permissions in real-time. - Centralized Inbox: Simplifies the reception and organization of music submissions by providing a dedicated inbox for each workspace, streamlining the review process. Primary Value and Solutions Provided: Bridge.audio addresses the fragmentation in the music industry by offering an all-in-one platform that consolidates various tools required for storing, managing, and sharing audio files. Its AI-driven tagging system enhances the discoverability of music, making it easier for professionals to find and utilize tracks that meet specific criteria. By providing secure, collaborative workspaces and dynamic sharing capabilities, Bridge.audio improves productivity, fosters collaboration, and opens new opportunities for music synchronization and promotion. This comprehensive approach not only saves time but also amplifies the reach and impact of music professionals' work.