An API powered by Google's AI technology allows you to accurately convert speech into text. You can accurately caption your content, provide a better user experience with products using voice commands, and gain insight from customer interactions to improve your service. Google's deep learning neural network algorithms are the most advanced in automatic speech recognition (ASR). Speech-to-Text allows for experimentation, creation, management, and customization of custom resources. You can deploy speech recognition wherever you need it, whether it's in the cloud using the API or on-premises using Speech-to-Text O-Prem. You can customize speech recognition to translate domain-specific terms or rare words. Automated conversion of spoken numbers into addresses, years and currencies. Our user interface makes it easy to experiment with your speech audio.
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Get quality translations for your app, website, game, supporting documentation, and on. Invite your own translation team or work with professional translation agencies within Crowdin.
Features that ensure quality translations and speed up the process
• Glossary – create a list of terms to get consistent translations
• Translation Memory (TM) – no need to translate identical strings
• Screenshots – tag source strings to get context-relevant translations
• Integrations – set up integration with GitHub, Google Play, API, CLI, Android Studio, and on
• QA checks – make sure that all the translations have the same meaning and functions as the source strings
• In-Context – proofreading within the actual web application
• Machine Translations (MT) – pre-translate via translation engine
• Reports – get insights, plan and manage the project
Crowdin supports more than 30 file formats for mobile, software, documents, subtitles, graphics and assets:
.xml, .strings, .json, .html, .xliff, .csv, .php, .resx, .yaml, .xml, .strings and on.
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Gemini 3.5 Live Translate
Google's Gemini 3.5 Live Translate represents the company's newest advancement in audio technology, providing nearly instantaneous translation between over 70 languages in live speech contexts. This innovative model automatically recognizes multilingual dialogue and produces fluid, natural-sounding translated speech that retains the original speaker's tone, rhythm, and pitch. Unlike traditional turn-by-turn translation systems that wait for speakers to complete their thoughts, Gemini 3.5 Live Translate processes spoken language in real-time, generating translated audio continuously to maintain both context and synchronization. Throughout a conversation, it remains just a few seconds behind the speaker, ensuring that interactions flow smoothly and naturally without any awkward silences. This model is particularly suited for a variety of applications, including multilingual conferences, lessons, broadcasts, live interpretation, dubbing, simultaneous translation, and voice translation scenarios, making it a versatile tool for effective communication across languages. Its ability to enhance the conversational experience sets it apart in the realm of translation technologies.
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Azure Speech Translation
Translate audio in over 30 languages and tailor your translations to reflect your organization’s unique terminology, using your chosen programming language. Experience the advantages of fast and dependable speech translation, driven by advanced neural machine translation technology. With just one API call, you can generate both speech-to-speech and speech-to-text translations seamlessly. Speech Translation captures the essence of complete sentences, ensuring precise and fluent translations, which enhances communication among speakers of various languages. You can also personalize speech recognition and translation for terminology that is specific to your business sector. Build and implement a custom translation system without needing expertise in machine learning. Additionally, Speech Translation has the capability to eliminate verbal fillers (like "um" and "uh"), remove repeated phrases, insert appropriate punctuation and capitalization, and filter out profanities, resulting in more polished translations. This allows you to provide translations that are not only accurate but also easy to read, thanks to an engine specifically designed to normalize speech output. Ultimately, this technology streamlines cross-lingual communication and fosters better understanding in diverse environments.
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