YouTube Transcript Extraction App Using Salesforce LWC and GraphQL | Demo
Welcome to our demo video! In this demonstration, we showcase a cutting-edge KZread Transcript Extractor built using Salesforce Lightning Web Components (LWC) and GraphQL. This innovative tool extracts transcripts from KZread videos and stores the video information as records within Salesforce. Additionally, we use speech-to-text technology to read and process the extracted transcripts.
👨💻 Highlights:
Salesforce LWC Interface: See how we built a sleek and efficient interface for extracting KZread transcripts.
GraphQL Integration: Watch how we utilize GraphQL queries to retrieve KZread video data seamlessly.
Data Storage: Observe the automated process of storing extracted video information as records in Salesforce.
Speech-to-Text: Check out the implementation of speech-to-text functionality to convert and read video transcripts.
🛠️ Technologies Featured:
Salesforce Lightning Web Components (LWC)
GraphQL
KZread API
Speech-to-Text Technology
💡 Key Features:
Efficient extraction of KZread video transcripts
Automated storage of video details into Salesforce records
Enhanced accessibility with speech-to-text capabilities
#salesforcedevelopers #lwcsalesforce #lwc #project #trailhead #dreamforce #learning
Пікірлер: 3
How can I build this app? Do you have a course somewhere?
How do I access this tool?
@mastmauji8680
Ай бұрын
It's just a demo