Rev.com Podcast Transcription

Rev.com Podcast Transcription is a paid product — published pricing: $1.99/min (human) and $0.25/min (AI). Pricing changes; verify on the vendor's own page before budgeting.

There is nothing to install — Rev.com Podcast Transcription is used in the browser. Create an account on the vendor's site and upload or connect your audio.

Distinct from the 'rev' and 'rev-ai' entries — this row covers the public per-order podcast SKU.

Podcasters wanting human-perfected transcripts.

No. Rev.com Podcast Transcription is a proprietary product. If you need source you can read and run yourself, the open-source tools in this directory are the place to look.

In this directory Rev.com Podcast Transcription is filed under voice intel, transcription service as a product.

There is a side-by-side page at /tools/rev-com-podcast-alternatives comparing Rev.com Podcast Transcription with the closest tools in the same category on price, platform and features.

Yes. If what you want is transcripts rather than the tool itself, Whipscribe does the same job as a hosted API: submit a file or URL, poll a job id, pull the result as txt, json, srt, vtt or docx. $0.008 a minute — about $0.48 an audio hour — bought as credits that never expire. The automation recipes on this site show it wired to Drive folders, Zoom recordings, S3 buckets and no-code platforms.

Rev.com Podcast Transcription is another vendor's product; Whipscribe is a per-minute transcription service. We run the models on our own GPUs in a private cloud — audio is never forwarded to OpenAI or any third-party model — and every job returns five formats plus an AI summary, quotes and topics. Your first transcript in the web app is free at any length, no card.

$0.008 a minute — about $0.48 an audio hour — bought as credits that never expire. There is no subscription and no monthly minimum: a 3-hour recording is about $1.44, a thousand-hour archive is about $480 once. Your first transcript in the web app is free at any length, no card, so you can check accuracy on your own audio before paying anything.

Three things are moving across the whole speech-to-text market right now: summaries, action items and speaker insights generated on top of the transcript rather than sold separately; private, secured deployment where the audio never leaves a boundary you control; and agent access — transcription exposed as a tool that Claude, Cursor or a workflow runner can call directly. Whipscribe ships all three today: per-job insights, our own GPUs, and an MCP server.