WAAS (Whisper as a Service) is a powerful GUI and API solution for OpenAI Whisper, enabling seamless audio and video transcription with queuing support. Easily upload files, transcribe with AI, and receive results via email or webhook. Ideal for developers and content creators, WAAS supports multiple output formats (SRT, VTT, JSON) and GPU acceleration for faster processing. Streamline your transcription workflow today!
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Published:
2024-09-08
Created:
2025-04-25
Last Modified:
2025-04-25
Published:
2024-09-08
Created:
2025-04-25
Last Modified:
2025-04-25
WAAS Product Information
What is WAAS (Whisper as a Service)?
WAAS is an open-source service that provides a GUI and API interface for OpenAI Whisper, offering audio/video transcription capabilities with queuing functionality. It allows users to transcribe files through a web interface or API calls, supporting multiple output formats including JSON, SRT, and plain text.
Who will use WAAS (Whisper as a Service)?
WAAS is ideal for developers, content creators, journalists, and businesses needing automated transcription services. It's particularly useful for media organizations, podcast producers, video editors, and anyone requiring efficient conversion of speech to text with queuing capabilities for handling multiple files.
How to use WAAS (Whisper as a Service)?
- Install using Docker Compose with the provided configuration files
- Configure environment variables including email settings and webhook URLs
- Upload audio/video files through the web GUI or API endpoints
- Choose transcription options (language, model size, output format)
- Receive results via email callback or webhook notification
- Download transcriptions in preferred format (JSON, SRT, TXT, VTT)
In what environments or scenarios is WAAS suitable?
WAAS is suitable for media production workflows, automated transcription pipelines, and content accessibility projects. It works well in both development environments (using Docker) and production deployments, especially for organizations processing multiple audio/video files that require reliable queuing and notification systems.
WAAS Features & Benefits
What are the core features of WAAS?
- Provides a GUI and API interface for OpenAI Whisper speech-to-text service
- Includes job queuing system for efficient processing of transcription requests
- Supports multiple output formats including JSON, SRT, VTT, and plain text
- Offers both email and webhook callback notifications
- Includes built-in language detection capabilities
What are the benefits of using WAAS?
- Simplifies integration with OpenAI Whisper through ready-to-use API
- Handles queuing and job management automatically
- Provides multiple output formats for different use cases
- Offers both GUI for manual uploads and API for automated workflows
- Includes webhook support for real-time notifications
What is the core purpose and selling point of WAAS?
- Makes OpenAI Whisper accessible through an easy-to-use service interface
- Solves the problem of managing transcription queues and job processing
- Provides both developer-friendly API and user-friendly GUI options
- Offers flexible output formats and notification methods
- Simplifies integration of speech-to-text capabilities into applications
What are typical use cases for WAAS?
- Automated transcription of podcasts and audio recordings
- Adding captions/subtitles to video content
- Processing customer service call recordings
- Creating searchable text archives from audio sources
- Integrating speech-to-text into business applications
FAQs about WAAS
What is WAAS (Whisper as a Service)?
WAAS is an open-source service that provides a GUI and API interface for OpenAI's Whisper speech recognition technology. It offers queuing capabilities and supports both email and webhook callbacks for transcription results. WAAS simplifies the process of converting audio/video files to text through an easy-to-use web interface or API integration.
How does WAAS integrate with OpenAI Whisper?
WAAS serves as a wrapper around OpenAI Whisper, adding queuing functionality, a user-friendly GUI, and API endpoints. It manages the transcription workflow while leveraging Whisper's powerful speech recognition capabilities. WAAS supports all Whisper models (from tiny to large) and maintains compatibility with Whisper's language detection and translation features.
What file formats does WAAS support for transcription?
WAAS supports any audio or video file format that OpenAI Whisper can process, including common formats like MP3, WAV, and MP4. The service accepts binary data uploads through its API endpoint, making it flexible for various input sources. The specific format requirements match those of the underlying Whisper technology.
Can WAAS use GPU acceleration for faster transcription?
Yes, WAAS supports GPU acceleration through NVIDIA CUDA when configured properly. The project includes a dedicated Dockerfile.gpu for GPU-enabled deployments. This significantly improves transcription speed, especially for larger Whisper models. The docker-compose setup includes options to reserve GPU resources for the worker container.
What output formats does WAAS provide for transcriptions?
WAAS offers multiple output formats including JSON (raw model output), SRT (SubRip), VTT (WebVTT), plain text with timecodes, and simple text files. Users can specify their preferred format when making API requests or downloading completed transcriptions through the GUI interface.
How does the WAAS webhook notification system work?
WAAS can send webhook notifications when transcription jobs complete (successfully or unsuccessfully). Users register webhook URLs in an allowed_webhooks.json file, and WAAS sends POST requests with job status and download URLs. Each notification includes a verifiable X-WAAS-Signature header for security.
What are the system requirements for running WAAS?
WAAS requires Python 3.8-3.10, Redis for queuing, and sufficient VRAM based on the Whisper model used (1GB for tiny model). It can run in Docker containers with optional GPU support. The project provides both CPU and GPU-optimized Dockerfiles for different deployment scenarios.
How does the WAAS editor help with transcription corrections?
The WAAS editor provides a browser-based interface to review and edit transcriptions. Users can play specific audio segments (using keyboard controls) and make corrections to the automatically generated text. All editing happens locally in the browser, and users can save their corrected transcriptions as Jojo-files for future reference.
Can WAAS detect languages automatically?
Yes, WAAS inherits Whisper's language detection capabilities. It can automatically identify the language in audio files or users can specify a language parameter in API requests. The service includes a dedicated /v1/detect endpoint specifically for language identification without full transcription.
Is WAAS suitable for enterprise-scale transcription needs?
WAAS is designed with scalability in mind, featuring job queuing and parallel processing capabilities. While it can handle enterprise workloads, organizations should consider resource allocation (especially GPU availability) and potentially implement additional load balancing for high-volume scenarios. The open-source nature allows for custom modifications to meet specific enterprise requirements.
WAAS Company Information
Company Name:
Schibsted
Website:
Analytics of WAAS
No analytics data available for this product yet.
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WAAS's Competitors and Alternatives
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