About Whisper Translate Connector
OpenAI Translate Connector leverages the powerful Whisper-I model for advanced speech recognition and translation. It processes audio files to accurately transcribe spoken language and seamlessly translate the transcriptions into English, this connector allows rapid adoption of audio processing and natural language understanding features into outsystems apps.
Ease of Use: Simple integration into OutSystems applications without extensive coding.
Time-Saving: Automates transcription and translation workflows.
Enhanced Accessibility: Makes content accessible across languages and for differently-abled users.
Scalability: Suitable for various industries like education, healthcare, media, and business.
Audio-to-Text Conversion: Converts speech in audio files into text with high accuracy.
Multilingual Translation: Recognizes and translates speech in various languages into English.
Contextual Understanding: Accurately interprets speech, including relationships and intent within audio content.
Scalable for Business Needs: Offers a hands-free listening feature for translated responses, making it suitable for diverse use cases.
Meeting Transcription and Summarization: Generate detailed meeting minutes (MOM) from recorded audio. Summarize lengthy discussions for quick review.
Accessibility Enhancement: Transcribe and translate content for users with hearing impairments or non-English speakers.
Content Creation: Convert multilingual audio content into English text for subtitles, blogs, or reports.
Global Business Communication: Translate and document international meetings or client interactions.
Customer Support: Understand and respond to customer audio queries in different languages by translating them into English.
Here is the step-by-step documentation for getting the API key for Whisper model from Open AI. Click on the below URL to proceed further
https://openai.com/
Create an OpenAI account
Verify your account
Log into your account
Navigate to the API section.
Generate a new API key.
Save your API key.
Upload Audio: Users upload an audio file in supported formats.
Processing: The Whisper-1 model transcribes and translates the speech into English text.
Output: The translated text is returned, and additional features like hands-free listening or contextual analysis can be leveraged.
Download the connector from OutSystems Forge.
Configure the API key for OpenAI Whisper-1 in the connector settings.
Integrate the connector into your application workflows.
Input Parameters
API Key: The OpenAI API key to authenticate and access the Whisper Translator service.
File Name: The name of the audio file to be processed (e.g., "meeting_audio.mp3").
File (Binary Format): The binary content of the audio file to be transcribed and translated.
Output Parameters
TextOutput: The transcription or translation result as plain text. Example: "There are three people in the audio, harvesting tea leaves."
IsSuccess: Boolean value indicating whether the API call was successful.
Error Message: A descriptive message in case of an error (e.g., invalid API key, unsupported file format, or processing issues).
This connector is a powerful tool to break language barriers and make applications more inclusive and efficient. Perfect for OutSystems developers aiming to integrate cutting-edge AI capabilities into their projects.