Henshu vs Resound

HENSHU is an audio-only podcast editor for arranging episodes into named sections and editing their audio through text. Users can organize blocks, then trim, cut, or improve each one independently. AI tools reduce noise, level volume, and master audio; the site says there is no need to adjust EQ or compression. Automatic transcription detects language and supports Japanese and other non-English episodes, though results depend on language, speakers, and recording clarity. The music library has roughly 200 podcast-ready tracks, with looping, fades, and ducking under speech. Inputs include phone memos, Zoom recordings, WAV, MP3, AAC, M4A, and separate host and guest tracks. Users can download mastered episodes and generate or copy show notes and chapters for their hosting destination; direct publishing integrations are not described. HENSHU works on Android, iOS, and the web, including mobile web. The Free plan is free; Standard costs $15 a month, billed monthly.

Resound is an AI audio-editing app built to automate parts of podcast cleanup. It detects filler sounds such as ums and ahs, and finds silences longer than three seconds for users to consider shortening. Editors can review suggested changes and trim audio by dragging. Enhance tools remove background noise, level and normalize sound, and prepare it for export. Resound accepts single-track and multitrack uploads, with WAV, MP3, or AAF exports as merged files or separate tracks. The Free plan provides 20 minutes of processed audio, one track per project, one-day project storage, trimming, filler and silence detection, and MP3 export. Creator costs $15 a month and includes four processing hours, two tracks per project, and 15-day storage. A 14-day trial offers one hour of AI processing and access to all features. Processing is charged per project according to its longest file, and unused hours expire at billing-period end. The API returns AI edit predictions in JSON, but access requires approval.