What it is
ShowScriber is an online service that converts podcast audio into text-based, navigable assets using AI-powered processing. The platform accepts a wide range of audio file types and produces timestamped transcripts, condensed summaries, and chapter markers to make episodes easier to read, scan, and share. Transcripts can include speaker labels through diarization; the user indicates how many speakers are present and the system assigns speaker tags. All generated materials are exportable and owned by the user. The service operates on a credit-based model and provides an initial free credit for new accounts.
Key features
The core capabilities include automated transcription, summarization, and automatic chapter generation for long-form audio. Transcripts are diarized and timestamped, with an option to label speakers based on a provided speaker count. Outputs can be exported for use in other programs or podcast platforms. Processing actions consume credits: one credit transcribes and summarizes an audio file, and additional post-processing actions use further credits. Payment is handled via Stripe, and the service offers pay-as-you-go credit purchases rather than mandatory recurring subscriptions. The provider states it does not issue refunds for processed audio due to processing costs.
Use cases
ShowScriber is intended primarily for podcasters and audio producers who want searchable, readable versions of their episodes for distribution and reuse. Transcripts and summaries can improve accessibility for people with hearing impairments or for non-native listeners who prefer reading. Text outputs support search engine indexing and can be repurposed into show notes, blog posts, social media snippets, or other derivative content to extend reach. The diarization feature helps multi-host or interview formats produce clearer records of who spoke when, aiding editing, citation, and archival workflows.
