What is OpenAI Whisper?

**Whisper as a Service (WAAS)** is a powerful tool that brings OpenAI's Whisper technology to your fingertips. It offers both a **user-friendly GUI** and a **robust API** for transcribing audio and video files. Whether you're a developer or a casual user, WAAS makes it easy to convert speech to text with **queuing support** and **email/webhook notifications**.

What are the features of OpenAI Whisper?

* **GUI and API**: Easily upload and transcribe files through a simple interface or programmatically. * **Queuing System**: Handle multiple transcription jobs efficiently with built-in queuing. * **Email/Webhook Notifications**: Get notified via email or webhook when your transcription is ready. * **Multi-language Support**: Automatically detect or specify the language for transcription. * **GPU Acceleration**: Speed up processing with NVIDIA CUDA support.

What are the use cases of OpenAI Whisper?

* **Content Creators**: Quickly transcribe podcasts, interviews, or videos for subtitles. * **Developers**: Integrate speech-to-text capabilities into your applications. * **Researchers**: Analyze audio data with accurate transcriptions. * **Businesses**: Automate transcription workflows for meetings or customer calls.

How to use OpenAI Whisper?

1. **Installation**: Set up using Docker or a local Python environment. 2. **Upload**: Use the GUI or API to upload your audio/video file. 3. **Transcribe**: Choose your language and model, then start the transcription. 4. **Download**: Retrieve your transcript in various formats like SRT, TXT, or JSON.

How do I fix [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate?

Run the command `/Applications/Python\ 3.7/Install\ Certificates.command`.

How do I run tests outside the docker container?

Start Redis with docker-compose, then use the command `ENVIRONMENT=test BASE_URL=http://localhost REDIS_URL=redis://localhost:6379 pytest -v`.

OpenAI Whisper

5.0

19.25%

Whisper as a Service (WAAS) simplifies audio and video transcription with a user-friendly interface and powerful API, making speech-to-text conversion accessible for everyone.

Added on: 2025.03.03

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#Large Language Models (LLMs)#transcription #Transcriber #Speech to Text #Captions or Subtitle

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