Audioflare
Audioflare is a comprehensive cloud-based tool available on the Cloudflare Playground platform. It offers three main functionalities: trans...
Last verified:
What is Audioflare?
Audioflare is an all-in-one AI audio playground that uses Cloudflare AI Workers to transcribe, analyze, summarize, and translate audio files. Built by Sean Oliver as a Cloudflare Playground tool, it allows users to upload audio files up to 30 seconds for processing through multiple AI models in a single workflow.
The tool performs four core functions: transcription using Cloudflare's Speech to Text worker (based on OpenAI's Whisper API), summarization using Cloudflare's LLM AI worker (based on Meta's llama-2-7b-chat-int8 model), sentiment analysis using Cloudflare's Text Classification AI worker (based on Huggingface's distilbert-sst-2-int8 model), and translation into 9 languages using Cloudflare's Translation AI workers (based on Meta's m2m100-1.2b model). It also displays performance metrics showing processing time for each request.
Audioflare is designed for developers who want to learn and experiment with Cloudflare AI Workers, showcasing how to orchestrate multiple AI models through REST API calls. It includes sample audio files (Al Pacino, Russell Crowe, Donald Trump clips) to help users get started, and the project is open-source under MIT License with 436 stars on GitHub. The tool also leverages Cloudflare AI Gateway for analytics, logging, caching, and rate limiting.
The interface features a simple drag-and-drop upload area where users can drop local audio files or click to select one. Three pre-provided sample audio files are available on the main page for testing. The project serves as a template for learning Cloudflare AI Workers and demonstrates a standardized AI API request framework for multi-step AI activities.
Audioflare pricing
Pricing model: Free
Free - Audioflare is a free open-source tool that leverages Cloudflare's free tier access for AI Workers. The developer notes that Cloudflare's free access allows developers to play with the product even with open beta limits. No paid plans are mentioned. Users can run it locally for free by cloning the GitHub repository, though they need to create a Cloudflare account and configure API keys. The tool includes Cloudflare AI Gateway features like caching for cost efficiency.
Audioflare pros
- Transcribes audio using OpenAI's Whisper API via Cloudflare Workers
- Summarizes transcribed text using Meta's Llama-2 model
- Performs sentiment analysis on transcribed text
- Translates text into 9 different languages
- Displays processing time metrics for each AI request
- Simple drag-and-drop interface for audio uploads
- Includes 3 sample audio files for instant testing
- Open-source under MIT License with active GitHub community
- Uses Cloudflare AI Gateway for observability and monitoring
- Free to use with Cloudflare's free tier access
- Showcases practical Cloudflare AI Workers orchestration
- No account creation required for web demo
- Built with modern tech stack (Next.js, TypeScript, Tailwind)
- Provides analytics on requests and token usage
- Caching support for faster response times and cost savings
Audioflare cons
- Limited to 30-second audio files only
- Only first 30 seconds transcribed if audio is longer
- LLM model struggles with lengthy prompts for summarization
- Models marked as beta by Cloudflare
- No image classification or text embedding workers integrated
- Summarization quality could be better
- Requires Cloudflare account for local deployment
- No mobile app or native desktop application
Frequently asked questions about Audioflare
What is Audioflare?
Audioflare is an all-in-one AI audio playground using Cloudflare AI Workers to transcribe, analyze, summarize, and translate any audio file. It is an open-source project developed by Sean Oliver that demonstrates how to orchestrate multiple AI workers through REST API calls.
What is the maximum audio duration supported?
Audioflare supports audio files up to 30 seconds maximum. If you upload an audio file longer than 30 seconds, only the first 30 seconds will be transcribed and processed.
How many languages can Audioflare translate to?
Audioflare can translate transcribed text into 9 different languages using Cloudflare's Translation AI workers, which utilize Meta's m2m100-1.2b model.
Which AI models does Audioflare use?
Audioflare uses four main AI models: OpenAI's Whisper API for transcription via Cloudflare's Speech to Text worker, Meta's llama-2-7b-chat-int8 for summarization via Cloudflare's LLM AI worker, Huggingface's distilbert-sst-2-int8 for sentiment analysis via Cloudflare's Text Classification AI worker, and Meta's m2m100-1.2b for translation via Cloudflare's Translation AI workers.
Is Audioflare free to use?
Yes, Audioflare is completely free to use. It leverages Cloudflare's free tier access for AI Workers. The project is open-source under MIT License, and you can run it locally for free by cloning the GitHub repository.
How do I run Audioflare locally?
To run Audioflare locally: 1) Clone the repository with git clone, 2) Install dependencies with bun install, 3) Create a Cloudflare account, 4) Install Wrangler and login with wrangler login, 5) Rename .env.example to .env and configure required API keys, 6) Run the app with bun dev, 7) Visit localhost:3000 in your browser.
What sample audio files are available for testing?
Audioflare includes three pre-provided sample audio files on the main page: clips featuring Al Pacino, Russell Crowe, and Donald Trump. These can be dragged and dropped directly into the upload area to get started without uploading your own files.
What is Cloudflare AI Gateway and how does Audioflare use it?
Cloudflare AI Gateway provides observability and monitoring for AI Workers. Audioflare uses it for: Analytics (tracking number of requests and tokens), Logging (monitoring requests and errors), Caching (serving requests from Cloudflare's cache for faster response and cost savings), and Rate Limiting (controlling application scaling by limiting received requests).
Can I perform sentiment analysis with Audioflare?
Yes, Audioflare performs sentiment analysis on transcribed text using Cloudflare's Text Classification AI worker, which leverages Huggingface's distilbert-sst-2-int8 model. This is one of the four core functions of the tool alongside transcription, summarization, and translation.
What is the GitHub repository for Audioflare?
The GitHub repository is at https://github.com/seanoliver/audioflare. It has 436 stars, 3 watchers, and 35 forks. The project is built with TypeScript (95.8%), CSS (3.8%), and JavaScript (0.4%), and is distributed under the MIT License.