OpenAI Whisper AI technology Top Builders

Explore the top contributors showcasing the highest number of OpenAI Whisper AI technology app submissions within our community.

OpenAI Whisper

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.

General
Relese date	September, 2020
Author	OpenAI
Repository	https://github.com/openai/whisper
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.

Tutorials

👉 Discover more Whisper Tutorials on lablab.ai

Boilerplates

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

Libraries

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

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OpenAI Whisper AI technology Hackathon projects

Discover innovative solutions crafted with OpenAI Whisper AI technology, developed by our community members during our engaging hackathons.

Smarter AI for Offline Car Communication

In-Car AI Agents is an innovative project designed to make in-car artificial intelligence smarter and more responsive in offline scenarios. Currently, most AI-powered car assistants rely on internet connectivity to process commands, leaving drivers without key functionalities in areas with poor or no network coverage. Our solution aims to address this gap by deploying edge-based AI models that can function without Wi-Fi, allowing drivers to interact with their cars using voice commands for basic operations such as controlling the air conditioning, navigation prompts, and music playback. The system uses pre-trained voice recognition models and offline edge computing to deliver real-time responses to the driver’s requests, all processed locally. Additionally, the project explores simple computer vision tasks like lane detection, integrated to run without network dependency. Our vision is to make cars smarter, safer, and more autonomous without requiring constant internet access. By providing an MVP, we aim to showcase how AI in cars can be optimized for offline use, thus improving the overall driving experience in areas where internet connectivity is unreliable.

LinguaPolis - Bridging Languages and Uniting Teams

Today we have workforces spread across multiple countries, cultures, and languages. Online meetings have become a key part of how businesses operate. But there's a significant challenge: not everyone speaks the same language or communicates effectively in a common one like English. Accents, dialects, or simply varying levels of proficiency often make it difficult for teams to fully understand each other. This problem results in inefficiencies—important points are missed, and post-meeting emails or clarifications are needed, which undermines the very purpose of the meeting. Ultimately, this wastes time, reduces productivity, and slows down decision-making. Consider a typical online meeting scenario. For many, English may not be their first language. Some struggle to express their ideas clearly, while others have difficulty understanding certain accents or pronunciations. Often, by the end of the meeting, there’s a lack of clarity, and participants need to follow up with additional communications, re-explaining points or providing more instructions. Now imagine a scenario where each participant could simply speak in their native language, and everyone else could understand them perfectly—in real time, without the need for human translators or extensive subtitles. This is where our idea comes in: an AI-powered online meeting platform that provides real-time dubbing and multilingual transcription. Each participant can speak comfortably in their native language, and the platform instantly dubs their speech into the local languages of all other participants. Additionally, real-time text transcripts of the conversation are generated in each participant’s language, providing both auditory and visual clarity. At the end of the meeting, the platform even summarizes the discussion, producing meeting minutes in every participant's native language, ensuring that everyone walks away with a clear understanding of what was discussed and the decisions that were made.

SpeakEasy

SpeakEasy is a cutting-edge platform that transforms how users engage with video content. It uses advanced voice cloning technology to seamlessly translate and clone voices in videos across multiple languages, while preserving the unique tone and characteristics of the original speaker. Whether for business, education, or entertainment, SpeakEasy allows content to be globally accessible without losing authenticity. Users can personalize their videos by modifying the tone and style of the cloned voice to suit formal, casual, or neutral settings, offering flexibility for different audiences. SpeakEasy also includes powerful video summarization technology, condensing long videos into concise, 3-4 minute highlight clips. This makes it perfect for social media sharing, quick reviews, and educational snippets, helping users focus on the most important content. With an intuitive interface and real-time progress tracking, SpeakEasy ensures a smooth, seamless experience. Users simply upload their video, track the processing progress, and download the final result—all in just a few clicks. Whether it's a long meeting or a casual vlog, SpeakEasy simplifies video processing while maintaining high quality. Designed for creators, businesses, and educators, SpeakEasy makes video content more accessible and impactful. By combining state-of-the-art technology with an easy-to-use interface, it empowers users to communicate effortlessly across languages and platforms.

BlindNav

BlindNav is a navigation aid tailored for visually impaired individuals, combining state-of-the-art AI models for seamless interaction. By leveraging YOLOv10 for object detection and tracking, the app identifies both static and dynamic objects in real-time. Whisper captures voice input from users, while O1 generates context-aware, concise responses to user questions about their surroundings. Users can upload or capture images, and the app processes them to give auditory feedback based on object tracking results. BlindNav aims to provide an intuitive and practical navigation solution for visually impaired users, improving their independence and situational awareness.

Arishta Browser

Arishta Browser, the first content moderation tool of its kind which follows Multimodal agentic approach, designed to create a safer, more inclusive browsing experience. Our core innovation comes from the power of AI-driven audio, enhanced by Eleven Labs’ cutting-edge text-to-speech technology. Imagine this: as you browse the web, Arishta seamlessly converts content into audio, allowing users to engage with the web hands-free. Whether you’re at work, at home with kids, or even streaming live, Arishta provides audio summaries of web content—ensuring you stay informed without staring at a screen. For those with visual impairments or learning disabilities, it’s a game-changer, enabling easier access to information and keeping the web within reach for all. But that’s not all. While our audio feature makes browsing more accessible, Arishta goes even further. We actively remove inappropriate words and hate speech, ensuring a positive, respectful environment. NSFW images are blocked in real time, allowing peace of mind for parents and professionals alike. And with so much fake or misleading information online, Arishta steps in to identify the credibility of news articles and even the videos embedded within them, ensuring you only consume content you can trust.

Voice to Voice Chatbot

The Voice-to-Voice AI Chatbot will be the next generation in conversational AI, further envisioned to permit the voice-based interaction with the accuracy; it will use the Whisper model from OpenAI for high-quality transcription of audio into text and combine this functionality with the AI/ML API to generate insightful and contextually relevant responses. By mere speech to the chatbot, which processes audio input, sends it to the AI model for intelligent analysis and then responds both in text and synthesized speech by using gTTS. It is a completely innovative tool that advances user interaction through real-time, natural conversations, fitting this tool perfectly for applications like virtual assistants, customer support, and even interactive learning environments.