RepurposeAI is a content repurposing platform for creators. It turns a single source such as a YouTube URL, blog post, or podcast transcript into platform-native output for multiple channels, with the site describing the process as one source, twelve platforms, and thirty seconds.
Its features center on producing content in a creator’s own voice and in the logic of each destination platform. Brand Voice Memory lets a tone be described once and then applied across posts, threads, and newsletters. The platform also offers platform-native output for LinkedIn, Twitter threads, and email subject lines, and it can generate 12 formats in parallel from one input. A Content-to-Growth Engine accepts past posts with performance data, analyzes what has worked for a specific audience, and generates new content based on those patterns. The product page also says that inline refinement with one-click edits is available, and that generation history is saved locally in the workspace.
RepurposeAI is built for creators who take their content seriously. The page frames it around creators who want to paste content, choose formats, review and refine outputs, and copy them for posting. The interface shown is web-based, with a dashboard and a sign-in flow, and the page includes a “Try free” option. Pricing is listed as a free plan with 3 generations total and no credit card required, and a Pro plan at $9 per month that includes unlimited generations, all 12 platform formats, brand voice memory, output history and refinement, the Content-to-Growth Engine, and priority support. The page also mentions a 7-day free trial and a founding offer for 50% off for life with code FOUNDING10.
RepurposeAI is an AI project. It automates the process of converting long-form content into multiple social media formats for creators. It is built as a consumer product for content creators and marketers. There is a free tier. RepurposeAI is available on the web.
RepurposeAI first shipped in 2026. Among its 5 catalogued features are content repurposing, brand voice memory, and multi-format output.
Summary written by a language model from the project’s public pages.
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