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PodcastsToText turns podcast links into text, $1K MRR: many exports

PodcastsToText converts podcast episode links into transcripts and related content in a web app. Its $1K MRR is verified through the payment provider's API by TrustMRR (Stripe), as of September 30, 2026.

What it actually sells

PodcastsToText is a web app that converts podcast episode links into transcripts and related content. Users can paste episode links from Spotify, Apple Podcasts, YouTube, or TikTok and receive a transcript with speaker labels.

The named audience includes “Creators, students, language learners, journalists, and anyone who wants to do more with what they listen to.” The app also generates chapters, summaries, show notes, translations, and social content from episodes.

How it charges

The Free plan provides 30 minutes of transcription per month, the Creator plan provides 5 hours per month, and the Pro plan provides 40 hours per month. API and MCP access are included on Creator, Pro, Studio, and Podmaxxing. Currency amounts appear on the pages, but none could be tied to the product's own pricing; the product's price could not be identified on the pages we read.

Month by month

Monthly revenue as read from the payment provider by TrustMRR, in US dollars, as of September 30, 2026.

MonthRevenue (USD)
2025-10$40
2025-11$87
2025-12$130
2026-01$370
2026-02$709
2026-03$836
2026-04$839
2026-05$829
2026-06$939
2026-07$839
2026-08$969
2026-09$959

Where customers come from

The site displays an interactive editor demo that shows an episode becoming a transcript. It also publishes the PodcastsToText podcast and provides API documentation with a developer platform.

Connected shows can receive a shareable public transcript page after the show owner verifies ownership. The page includes show notes, chapters, and the full transcript.

What stands out

Transcripts can be exported in several formats: “Export to TXT, MD, SRT, VTT, JSON, DOCX or PDF and the timings come with it.” The web-based editor supports selecting a word to hear it and changing a speaker name throughout the transcript.

The site displays a 4.8/5 rating from 99 reviews. Generated outputs include timestamped chapters, summaries, show notes, translation into around a hundred languages, and a chat that answers from the transcript only.

From the official site

Creators, students, language learners, journalists, and anyone who wants to do more with what they listen to.
Export to TXT, MD, SRT, VTT, JSON, DOCX or PDF and the timings come with it.

Excerpts from the official website, fetched October 1, 2026.

Where it sits in the data

PodcastsToText's $1K MRR is higher than 75% of the 5,602 projects with payment-verified revenue in our dataset; the median across them is $150. Within the “Content Creation” category (1,345 projects) it is higher than 77% (category median $156). Snapshot: 2026-09-02 to 2026-09-30. The dataset only covers founders who chose to publish their numbers, so it leans toward businesses that work; use it for scale, not as an average.

Currency

All figures are in US dollars as published. A rough yuan or euro conversion is not applied here because prices, taxes and acquisition costs differ by country.

Could you build something like this?

In my view, the clearest demand comes from people who want transcripts and related materials from podcast episodes. The named buyers include creators, students, language learners, and journalists. Distribution can use visible surfaces such as an interactive demo, a company podcast, API documentation, and public transcript pages.

Building a comparable product requires handling multiple podcast-link sources, transcripts with speaker labels, timed exports, and editing. General competition, support load, and changes involving AI usage rules would need attention. The breadth of formats and generated content adds product and operational work.

Verdict: Needs real work.

One thing to take from it

PodcastsToText presents the episode link as the starting point, then adds speaker labels, multiple export formats, editing, chapters, summaries, show notes, translations, social content, and transcript-based chat.

Sources

  1. PodcastsToText official website, fetched October 1, 2026
  2. PodcastsToText pricing page, fetched October 1, 2026
  3. PodcastsToText about page, fetched October 1, 2026
  4. TrustMRR: revenue verified through the payment provider's API by TrustMRR (Stripe), as of September 30, 2026

Revenue, team and start-cost figures are what the founder reported at the interview date, not current figures and not a prediction of what you will earn. Product and pricing facts come from the business's own website as checked on 30 September 2026. Method & sources · Disclosure

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