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What is Voice to Text Pro?

Completely transformed, Voice to Text Pro emerges as the premier choice for converting spoken words into written form. This cutting-edge application eliminates the need for typing, allowing users to simply articulate their thoughts and witness them instantly transcribed into text. Moreover, it facilitates seamless transcription of audio from a range of external sources. Users can easily turn their spoken language and various audio files into text, share the outcomes with any application on their device, or copy them directly to their clipboard. The flexibility to create new notes from transcriptions or enhance existing ones, alongside syncing capabilities across devices, further enriches user experience. Optimized for iOS 14, the app boasts compatibility with the iPhone 12, iPhone 12 Pro, and iPads, among other functions. Users can also improve transcription accuracy by incorporating frequently used words and phrases. The app ensures effortless access to preferred languages, contributing to a user-friendly interface. While the inclusion of advertisements supports a free version of the app, upgrading to Premium eliminates all ads. In addition to this, the Premium subscription allows for the transcription of longer audio segments, removing the limitation of 60 seconds for each recording, thereby providing users with enhanced versatility in their transcription needs. This comprehensive approach makes Voice to Text Pro an invaluable tool for anyone looking to streamline their documentation processes.

What is Scribe?

ElevenLabs has introduced Scribe, an advanced Automatic Speech Recognition (ASR) model designed to deliver highly accurate transcriptions in a remarkable 99 languages. This pioneering system is specifically engineered to adeptly handle a diverse array of real-world audio scenarios, incorporating features like word-level timestamps, speaker identification, and audio-event tagging. In benchmark tests such as FLEURS and Common Voice, Scribe has surpassed top competitors, including Gemini 2.0 Flash, Whisper Large V3, and Deepgram Nova-3, achieving outstanding word error rates of 98.7% for Italian and 96.7% for English. Moreover, Scribe significantly minimizes errors for languages that have historically presented difficulties, such as Serbian, Cantonese, and Malayalam, where rival models often report error rates exceeding 40%. The ease of integration is also noteworthy, as developers can seamlessly add Scribe to their applications through ElevenLabs' speech-to-text API, which delivers structured JSON transcripts complete with detailed annotations. This combination of accessibility, performance, and adaptability promises to transform the transcription landscape and significantly improve user experiences across a multitude of applications. As a result, Scribe’s introduction could lead to a new era of efficiency and precision in speech recognition technology.