Whisper API

Whisper API: Affordable and Accurate Audio Transcription

What is Whisper API?

Whisper API, powered by Lemonfox.ai, is an audio transcription API based on the OpenAI Whisper model. It offers an affordable and easy-to-use solution for converting speech to text.

Key Features:

• Affordable Pricing: Priced at just $0.17 per hour, after a free trial including 30 hours of transcription.
• Easy Integration: Simple integration with an OpenAI-compatible API.
• Speaker Detection: Detects multiple speakers in audio files.
• Multiple Languages: Supports over 100 languages.
• File Format Support: Handles various file formats.
• Translations: Offers English translations or summaries using other AI models.

How does Whisper API work?

Whisper API utilizes the latest Whisper Large V3 speech recognition AI model to accurately transcribe audio from podcasts, videos, meetings, and more into text. The API is designed for easy integration into various applications, regardless of the programming language.

To use Whisper API:

1. Send a request to the API endpoint with your audio file and API key.
2. Specify the language of the audio.
3. Indicate whether you want speaker labels.
4. Choose the response format (e.g., JSON).

Example using curl:

curl https://api.lemonfox.ai/v1/audio/transcriptions \
-H "Authorization: Bearer YOUR_API_KEY" \
-F file="https://output.lemonfox.ai/wikipedia_ai.mp3" \
-F language="english" \
-F speaker_labels=true \
-F response_format="json"

Why choose Whisper API?

• Cost-Effectiveness: Whisper API provides an unbeatable value with its affordable pricing and powerful features.
• Accuracy: The latest Whisper v3 model ensures fast and accurate transcription.
• Versatility: It supports various use cases, including podcasts, videos, and meetings.
• Simplicity: The OpenAI-compatible API allows for easy integration with just a few lines of code.

Who is Whisper API for?

Whisper API is ideal for:

• Developers looking for an affordable and easy-to-use transcription API.
• Businesses needing to transcribe audio files from various sources.
• Researchers and academics who need to convert speech to text for analysis.

Use Cases:

• Transcription of podcasts and videos: Easily convert audio content into text for accessibility and searchability.
• Meeting transcription: Capture spoken information from meetings and create searchable transcripts.
• Speech-to-text applications: Build applications that require real-time speech recognition.

Additional Resources:

• Whisper API Blog provides articles on topics like speech-to-text accuracy, API comparisons, and use cases.
• Transcripo tool to convert speech to text for free.

Note: WhisperAPI.com is not affiliated with OpenAI.