OpenAI Whisper
Whisper transcribes speech to text with multilingual accuracy.
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What is Whisper?
Whisper from OpenAI handles noisy audio, accents, and mixed languages for high-fidelity transcripts. Provides timestamps for media, meetings, and voice interfaces in both batch and streaming modes. Use it to power captions, search, and assistive experiences.
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Technical Specifications
Context Window
30 saniye ses segmenti
Max Output
transkript metni
Training Cutoff
2024
Active
Active
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Capabilities
Accurate speech-to-text transcription
Multilingual and accented speech support
Timestamps and word-level alignment
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Benchmark Scores
Accuracy
95%Language Support
99Noise Tolerance
92%Processing Speed
0.5xWord Error Rate
5%05
Pros & Cons
Pros
- High accuracy
- Multilingual
- Streaming support
Cons
- Quality depends on mic/audio
- GPU usage at scale
- Latency for long files
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Features
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Robust transcription
Handles noisy audio and diverse speakers.
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Language coverage
Supports many languages and code-switching.
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Ready for pipelines
Works in batch or streaming with timestamps.
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Use Cases
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Meeting notes
Transcribe calls and summarize action items.
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Media captioning
Generate subtitles for video and podcasts.
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Voice search
Power voice interfaces with accurate text outputs.
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FAQ
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