PodcastsToText Launches an AI Podcast Studio for Transcripts

PodcastsToText has launched an AI podcast studio that turns a public episode link into a working transcript, a chapter list, and a set of show notes. Paste a Spotify, Apple Podcasts, YouTube, or TikTok link, and the studio handles the rest, with no installation and no file upload required for public episodes, according to the company's announcement. The launch lands as the podcast business keeps shifting under creators' feet: podcast ad loads fell for a second straight quarter, which puts more pressure on shows to earn attention from every episode they publish.

From link to transcript

The AI podcast studio centers on a three-zone editor. The episode and its artwork sit on the left, the transcript runs down the middle, and an inspector on the right holds chapters, speakers, summary, show notes, translation, and a question box. Clicking any word in the transcript seeks the audio to that point, so editing stays tied to the recording instead of drifting away from it.

YouTube and TikTok are first-class sources rather than bolted-on extras. A YouTube link uses the video's own caption track where one exists, and the video itself becomes the playback source inside the editor. A TikTok link pulls the real audio, so the transcript is timed against media the AI podcast studio holds instead of an embed it cannot seek. That matters for creators whose audience watches as much as it listens, at a moment when YouTube is giving viewers more control over their feeds and video podcasts keep drawing platform investment.

Speaker labels you can fix

Speakers are detected automatically, then renamed, colored, merged, and marked as host. A merge is stored as an alias rather than a rewrite, so it can be undone, and every export reads the corrected names. The company frames this as the difference between a transcript that ships and one that stalls: mislabeled speakers are the most common reason a draft transcript never makes it to publication.

Chapters and notes from the whole episode

Chapters carry real timestamps taken from the transcript and appear in the editor as a colored spine along the edge of the words. From the same transcript, the AI podcast studio can generate a summary, a blog post, a newsletter, social posts for X, LinkedIn, and Instagram, SEO metadata, a YouTube description, and pull quotes. The generated content is saved with the episode and can be regenerated whenever the episode is edited, so the AI podcast studio stays in sync with the cut.

The technical claim worth noting is about long episodes. A very long episode does not fit into a single model call, and a tool that quietly truncates it produces show notes describing the opening stretch fluently, with nothing on the page saying so. According to the company, this AI podcast studio splits a long episode, condenses each part, and generates from the whole thing, so chapter lists cover the full runtime instead of stopping partway and looking complete. A finished transcript can also be translated in place, and long episodes resume across requests rather than failing at a timeout. A chat box in the inspector, called "Ask the episode," answers questions about the episode and keeps the conversation in context so follow-ups work.

Who the studio is for

The company says its core insight came from watching what people do after they get a transcript. Founder Marios Stylianou, who started PodcastsToText in 2025 and runs it self-funded, said listeners care less about the transcript itself than about what it produces: the summary, the key points, the chapters, the show notes, and the pull quotes. The AI podcast studio is built around that idea. An episode goes from a published link to a transcript, a chapter list, show notes, and a set of social drafts in one sitting, with every artifact editable where it was made.

Transcripts export as plain text, SRT and VTT subtitles, timed JSON, Word, and PDF. The same engine is available to developers as a REST API and to AI agents as a hosted MCP server. The AI podcast studio is live now at podcaststotext.com, and the company's launch announcement walks through each feature in detail.