OpenAI Whisper AI technology Top Builders
Explore the top contributors showcasing the highest number of OpenAI Whisper AI technology app submissions within our community.
The Whisper models are trained for speech recognition and translation tasks, capable of transcribing speech audio into the text in the language it is spoken (ASR) as well as translated into English (speech translation). Whisper has been trained on 680,000 hours of multilingual and multitask supervised data collected from the web. Whisper is Encoder-Decoder model. Input audio is split into 30-second chunks, converted into a log-Mel spectrogram, and then passed into an encoder. A decoder is trained to predict the corresponding text caption, intermixed with special tokens that direct the single model to perform tasks such as language identification, phrase-level timestamps, multilingual speech transcription, and to-English speech translation.
|Relese date||September, 2020|
|Type||general-purpose speech recognition model|
Start building with Whisper
We have collected the best Whisper libraries and resources to help you get started to build with Whisper today. To see what others are building with Whisper, check out the community built Whisper Use Cases and Applications.
- OpenAI Whisper tutorial: How to use Whisper to transcribe a YouTube video
- OpenAI Whisper tutorial: How to use OpenAI Whisper
- OpenAI Whisper tutorial: Creating OpenAI Whisper API in a Docker Container
- OpenAI Whisper tutorial: how to create speaker identification app
- OpenAI Whisper tutorial: Updating our Whisper API with GPT-3
👉 Discover more Whisper Tutorials on lablab.ai
Kickstart your development with a GPT-3 based boilerplate. Boilerplates is a great way to headstart when building your next project with GPT-3.
- Python Whisper Boilerplate Whisper gpt3 email generator
- Streamlit Whisper, GPT-3 Boilerplate Whisper gpt3 sentiment analysis
- React app to upload audio file boilerplate Uploading audio file to an API endpoint
- Whisper Flask API Boilerplate Whisper API with Flask
- Whisper Flask API with GPT-3 Boilerplate Whisper API with Flask and GPT-3
- Whisper Streamlit Boilerplate Automatic Speech Recognition using OpenAI's Whisper
Whisper API libraries and connectors.
- Whisper API Whisper API reference
- OpenAI Node.js API library for Whisper The OpenAI Node.js library provides convenient access to the OpenAI API from Node.js applications
- OpenAI Python Library for Whisper The OpenAI Python library provides convenient access to the OpenAI API from applications written in the Python language
OpenAI Whisper AI technology Hackathon projects
Discover innovative solutions crafted with OpenAI Whisper AI technology, developed by our community members during our engaging hackathons.
GENIS Voice and Visual Chat Messaging Application
Get visual explanation and text/number extraction by sending an image to our LINE Official Account And use the image as well as the explanation from the image to turn it into an office documentation including word powerpoint and excel file format. You can do this either using the LINE messaging application @genis or through our web app chat ui chat.genis.ai Feel free to connect your data and email to our RAG solution and get the visual and export it with our solution. Read any youtube video with our whisper distil transcription and use your voice to generate image or talk and command our chat bot through our LINE Official account.
Our platform, empowered by Vectara's Retrieval-Augmented Generation (RAG) pipeline, marks a significant advancement in customer service technology. It addresses the key limitation of traditional chatbots, which require constant retraining on updated QnA pairs, by automatically refreshing its knowledge base through the ingestion of diverse multimedia content like documents, YouTube videos, and webpages. Currently in its prototype phase on Streamlit, users can test the system by inputting their personal Vectara database credentials, enjoying a conversational interface designed for friendly and efficient interactions. This initial setup paves the way for a broader application, where the platform can be expanded into a network encompassing both client and company sides, creating a comprehensive, AI-powered customer service ecosystem.
Legal AI II
The Problem and Market Opportunity The intellectual property industry, valued at $367 billion annually, faces a significant issue - the laborious and expensive process of crafting patent claims. With more than 700,000 patent applications filed in the US in 2022, there's a growing need for a game-changing solution. The Solution: PatentableClaimExtraction PCE offers a novel solution by listening to inventors' conversations, extracting patentable claims from these discussions, and formatting them into the required patent claim format. The result is a dramatic reduction in the time it takes to bring an idea to market, from weeks to mere minutes. This revolutionary approach caters to individual inventors and small to medium-sized enterprises (SMEs), democratizing the patenting process. Time-Efficiency: Reducing patent application time from weeks to minutes. Cost Reduction: Substantial savings on legal fees. Accessibility: Making patent protection accessible to smaller innovators. Accuracy: AI-driven extraction ensures high-quality patent claims. Market Size and Competitive Landscape Our primary target is the SME and individual innovator market, which accounts for 60% of patent applicants and a $220 billion market share. With limited competition in the AI-driven patent claim extraction sector, PCE holds a unique position. Our proprietary algorithms offer a significant edge in this market. PCE's business model includes subscription-based pricing tiers, a freemium model for individual inventors, and the licensing of our API to law firms and IP consultants. To drive adoption, we will partner with innovation hubs, accelerators, universities, law firms, and IP consultants. Continuous algorithmic improvement will further secure our market position. Behind this groundbreaking venture is a dedicated team with extensive backgrounds in AI, IP law, and tech entrepreneurship. Our experts in AI development, legal expertise, and business acumen collectively drive PCE's success.
🚀 Introducing Field Assessment - Your Ultimate Problem-Solving App! 📸 This app lets you take a picture with your camera while in the field for a real time and on-the-fly assessment of your situation. Empower field teams with AI ! 🔧 Fix a Situation (e.g., Leaky Pipe) Say goodbye to plumbing headaches and home disasters! Field Assessment equips you with the ability to instantly diagnose and fix problems. No more relying on guesswork or pricey repairmen. Just snap a photo, and the app's intelligent tools will provide you with quick insights, allowing you to take informed steps to resolve the situation. We've got your back when life's little emergencies happen! ⚽ Assess a Football Field at a Fixed Point Whether you're a sports enthusiast, a coach, or just want to make sure your local field is in tip-top shape, Field Assessment has you covered. Use the app to assess the condition of football fields, soccer pitches, or any playing surface you desire. With precise measurements and detailed analysis, you'll be equipped to make decisions that enhance your sports experience. Game on! 🧐 Determine Someone's Mood Field Assessment takes your insights to the next level! Imagine being able to gauge someone's mood with just a picture. It's like having a personal mood ring for the digital age. Whether you're a parent checking in on your child's well-being or a manager assessing team morale, this feature is a game-changer. The app analyzes facial expressions and body language to give you a comprehensive understanding of how someone feels in the moment. Field Assessment isn't just an app; it's a game-changing tool that puts the power of instant assessment in your hands. So whether you're a DIY enthusiast, a sports fanatic, or simply curious about the world around you, Field Assessment is here to help you make informed decisions with the snap of a camera. Embrace the future of problem-solving with Field Assessment! 📸💪
Around the world, there exists an inequality affecting visually impaired individuals who lack access to essential accessibility services. This has driven me to develop a software for Smart Glasses that blind people can wear. SightCom2 software utilizes OpenAI technologies, namely Whisper for speech transcription, GPT-3.5 as a LLM, DALL-E for image generation; image captioning, OCR and color recognition models from Clarifai API. This software is served on streamlit cloud, and is a prototype that can potentially be deployed on a microprocessor, assembled in an integrated circuit, between input devices like camera and microphone, and output devices like speakers.
We participated in an exciting 3-day hackathon by lablab.ai, combining Clarifai's industry-leading computer vision with Llama2's advanced natural language model developed by Meta. Overview of "Schrödinger's ClarifaiLlama" app For the hackathon, we built an AI-powered platform called "Schrödinger's ClarifaiLlama" that generates custom multimedia content on any topic by searching across indexed data. Leveraging Clarifai's computer vision and Llama2's language capabilities Our app showcases innovative ways to utilize Clarifai's deep learning for image and video analysis together with Llama2's ability to understand text and generate coherent content. Ingesting and indexing multimedia data The system ingests data from diverse sources like YouTube, PDFs, and images. Powerful vector search with Faiss indexes text, audio, and images for fast semantic retrieval. Generating custom content from user queries Users can query the system through a chat interface. Llama2 analyzes the queries and generates relevant ebooks or blog posts by pulling together content from the indexed multimedia data. Transforming multimedia into cohesive content Llama2's language mastery transforms disjointed multimedia information into smooth, cohesive ebooks and blog posts on the fly. Benefits of combining multimedia search with natural language generation By fusing robust semantic search across text, audio, and visuals with Llama2's content creation skills, our platform opens new possibilities for automated custom content generation.