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WhisperAPI
Categories: Voice & Audio, Coding & Developer Tools, Productivity |
Pricing: Pricing unavailable |
Official Website ↗
WhisperAPI provides fast and accurate video and audio transcription services powered by OpenAI's Whisper model, available via API or a no-code dashboard.
WhisperAPI offers a transcription service that converts audio and video files into text. It leverages OpenAI's Whisper model, known for its high accuracy across various audio types and over 98 languages. The service is designed for both developers, offering a robust API with control over model parameters and file uploads, and non-developers, who can use an intuitive drag-and-drop dashboard.
Users can choose between different Whisper model sizes (small, large-v2) to balance speed and accuracy, with costs varying based on model size, speaker diarization, and file size. The platform supports major audio and video formats, handles files up to 10GB, and automatically deletes uploaded files after 24 hours to ensure privacy. Transcriptions can be exported in multiple formats including JSON, TEXT, VTT, DOCX, and PDF.
Key Features
- Fast video and audio transcription
- Powered by OpenAI Whisper model
- API for developers
- No-code dashboard for non-developers
- Support for 98+ languages
- Multiple export formats (JSON, TEXT, VTT, DOCX, PDF)
- File uploads up to 10GB
- Choice of Whisper model sizes (speed vs. accuracy)
Pros
- High transcription accuracy (up to 99.8%)
- Supports a wide range of languages (98+)
- Offers both API and no-code dashboard access
- Fast transcription speeds (minutes, not hours)
- Flexible pay-as-you-go pricing with non-expiring credits
- Privacy-focused with automatic file deletion
Cons
- Accuracy can vary based on audio quality, noise, and accents
- Credit cost varies by model size and features like diarization
- No explicit mention of real-time transcription capabilities
- Maximum file size of 10GB may be a limitation for extremely long content
- Refunds require contacting support
Use Cases
- Transcribing meeting recordings
- Converting podcast episodes to text
- Generating subtitles for videos
- Analyzing spoken data for research
- Creating text versions of webinars or online courses
Best For
- Developers needing transcription API access
- Content creators requiring audio/video to text conversion
- Researchers transcribing interviews or lectures
- Businesses needing to process large volumes of spoken content
- Individuals who prefer a no-code transcription solution
Integrations: Zapier
Platforms: Web
Watch demo on YouTube ↗
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