This work delves into the intricate landscape of employing large language models for the transcription of Catalan texts within the realm of artificial intelligence. As it has been recently stated, Catalan is a medium language that has a very low presence in the digital frameworks and there is still space for improvement in the generation and maturity of the computational linguistics resources for the Catalan language [4]. Nowadays, in the middle of a disruptive digital transformation, the presence of all cultures and languages in Internet and digital frameworks becomes crucial. Generating digital contents in Catalan becomes a priority. Prioritizing the generation of digital contents in Catalan and being able to use Natural Language Processing or Speech recognition will enlarge the impact to other audiences. A central activity is transcription of Catalan videos into Catalan subtitles that eventually can be translated in other languages. Up to now, channels as popular as YouTube still cannot provide a transcription of a Catalan video to generate subtitles in Catalan, and this precludes the possibility to get the subtitles translated to other languages. In Catalonia, some specific policies promote the innovation and advances in the Catalan computational resources, like the [12], or the AINA project [8]. In this work, we analyse the state of the art on transcribing Catalan videos to generate subtitles in three languages (Catalan, Spanish and English). Eventually, the corpus analysed had some Spanish video that has also been considered. The paper rigorously tests a few resources to discern their efficacy in accurately transcribing Catalan text. Despite the promising capabilities of these models, our findings revealed a worse performance than expected, as these systems are still very sensitive to the characteristics of the speaker voice and speech. Common challenges included difficulties in handling Catalan-specific diacritics, idiosyncratic vocabulary, and nuances of regional dialects are identified. The paper describes the experimental setting where several tools have been tested and the results, providing some conclusions and diagnosis of the limitations and strengthnesses of the tested tools.