Podcasting PodCastle platform launches a text model on the market with more than 450 votes AI | Techcrunch

PodCast Recording and Editation Platform PodCastle is now joining other companies in the Ai-Powed plant, Text-to-River to reward your own AI model called asyncFlow v1.0. There will also be API for developers, allowing them to directly integrate the text model into their applications.

With the new model, the company is able to offer more than 450 AI votes that can tell your text. Startup said it has developed technology and model in such a way that the costs of training and derivation are low, giving it competitors.

With this movement, the podcastle joins a number of startups, including eleven, Sheachlifa and Wellsaid, which developed technology and AI models to convert any kind of text to the AI ​​voice clip. This technology includes use cases such as marketing, advertising, content creation, education and corporate training.

The founder of Podcastle, Arto Yeritsian, said Techcrunch that the company always wanted to create a model of text on speech, but the cost of training and data requirements were very high.

“We wanted to create a robust sale of text model to speech. However, the cost of development was very high. Thanks to the recent development of a large language model, we were able to achieve a breakthrough last year to get to a place to build a high -quality voice model without the need for a ton of data, ”Yeritsian said.

Last year, the company also helped in its efforts in its efforts of $ 13.5 million series A.

Yeritsyan said that while podcastle around $ 40 for 500 minutes of text conversion to speech, elevenlabs charges $ 99 for the same.

The PodCastle voice cloning function is also upgrading to create a faster training process.

Previously, the training process included reading about 70 different sentences. Now he only needs a few seconds from you to create a clone of your voice. The new process was also used by Podcastle Magic Dust AI, which was released last year, to improve the quality of sound recording.

Credits Picture: Podcastle

In our testing, there was a voice created with a new process a little robotic, even though it imitated our tone. The company said it would improve the function over time. You can train different samples of your voice more to achieve different results.

PodCastle said that in addition to the costs that have tools for sound, video, podcasts and narration driven by AI under one redesigned website, it gives the advantage over competitive. Yeritsyan said that while most users use podcastle to work on sound content, the video also catches up.

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