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Podcast Transcript AI adds multilingual translation and RSS transcription

May 14, 2026
Podcast Transcript AI adds multilingual translation and RSS transcription

By AI, Created 4:56 PM UTC, May 18, 2026, /AGP/ – Podcast Transcript AI launched multilingual translation and automated transcription tools for podcasts, expanding support for creators and listeners working across languages and large episode libraries. The Newark-based platform says the new features were built from user requests and are now available alongside its free transcription service.

Why it matters: - The new tools lower the friction for making podcasts searchable and usable across languages. - Creators can now reach non-English audiences faster, and listeners can follow international shows without manual translation work. - Automated RSS transcription and bulk uploads also reduce the time needed to process recurring episodes and large archives.

What happened: - Podcast Transcript AI launched full multilingual translation and automated transcription via RSS feeds and bulk uploads. - The platform is based in Newark, Delaware. - The company released the features on May 14, 2026. - Users can transcribe podcasts in original languages including English, Spanish, French, German, Portuguese and others, then generate a translation to or from English in one step.

The details: - The translation system first processes the audio, then translates the transcript with contextual accuracy. - Users can paste an RSS feed and have new episodes transcribed automatically as they publish. - Bulk upload lets users process dozens of files at once in the background. - Podcast Transcript AI said the features came from user requests. - Amadou Niang, lead developer and creator of Podcast Transcript AI, said users asked for easier sharing across languages and less manual uploading. - The platform also launched a dedicated “Suggest a Feature” page. - Users can submit ideas directly, and the most requested ideas go to the public roadmap.

Between the lines: - The product update points to a broader push to turn podcast transcription from a one-off utility into an ongoing workflow tool. - Free transcription remains the entry point, while automation and advanced tools appear aimed at heavier users and subscribers. - The feature-request process suggests Podcast Transcript AI is using user feedback as a product roadmap filter rather than building around assumptions.

What’s next: - Podcast Transcript AI plans to keep adding tools based on user-submitted ideas. - The company says the goal is to build the features people actually need. - Users can try the new features at more information.

The bottom line: - Podcast Transcript AI is betting that multilingual translation and automated transcription will make podcast workflows faster, broader and easier to scale.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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