PodcastCraft is an AI-powered podcast content creation tool for podcasters who want to turn episode audio into written and promotional material. It focuses on transcriptions, show notes, repurposed social content, and SEO keywords, with wording on the site that says it is designed for podcasters who value their time.
Its transcription feature includes speaker identification and timestamped chapters, and it supports direct URLs and custom dictionaries. The service also generates show notes and summaries with customizable templates, along with key points, mentions, and extracted links. For repurposing, it can turn episodes into eight platform-optimized social posts, six SEO titles, newsletters, blog articles, and hooks. It also extracts relevant keywords and provides real search volume data to support podcast discoverability. A feature called My Content Kit generates all content types at once using presets such as Essentials or Social Pack.
PodcastCraft includes cost previews before processing and allows content export as ZIP files, plus full data export in JSON format. The site says the service is aligned with GDPR standards and offers one-click content download. It is presented as a web service with pricing pages and sign-in and get-started links.
Pricing is pay-as-you-go: there are no subscriptions, no commitments, and credits never expire. The listed plans are Starter Pack, Regular Pack, Power Pack, and a custom Enterprise option for agencies producing podcasts for multiple clients. The page also states that all features are available regardless of the credit pack chosen, with users paying only when they use them.
PodcastCraft is an Audio editing & DAW project. It focuses on transforming podcast audio into professional written content and social media assets efficiently. It is built as a consumer product for podcasters and content creators. Pricing is paid, from $12. PodcastCraft is available on the web.
PodcastCraft first shipped in 2024. Among its 6 catalogued features are AI transcription, speaker identification, and show notes generation.
Summary written by a language model from the project’s public pages.
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