Measured accuracy, stated with caveats
English word error rate averaged across four public test sets (LibriSpeech clean/other · Common Voice · TED-LIUM). Lower is better. Rows marked published are the vendor’s own reported numbers, not runs in our harness:
| System | WER | Source |
|---|---|---|
| oruk Spectra | 4.44% | Measured |
| Open ASR A | 4.47% | Measured |
| Azure Speech-to-Text | 5.5% | Published |
| Whisper Large V3 | 5.7% | Published |
| Whisper Medium | 6.1% | Published |
Full leaderboard, evaluation snapshot, and protocol on the benchmarks page.
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The transcript is half the signal
“Great, thanks.” transcribes identically whether the customer is delighted or being sarcastic. Every other speech to text API stops at the words. Switch the same request to /v1/audio/analysis and the response adds 15 calibrated emotion scores, 16 speaking-style scores, and an inline-tagged transcript — no second vendor, no pipeline glue:
"text": "great, thanks",
"tagged_text": "great, thanks <|frustrated|> <|sarcastic|>",
"emotions": [{ "label": "frustrated", "score": 0.83 }],
"styles": [{ "label": "sarcastic", "score": 0.78 }]Plain transcription stays $0.0045/min; the unified analysis call is $0.0090/min. Both are metered per measured second. Rates on the pricing page.
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Exactly what you are buying
The limits below are stated here so you do not discover them after integrating.
- Prerecorded files, not live captions
- This API transcribes audio files. If you need live captioning, dictation, or real-time subtitles, this is not the product.
- Input
- Prerecorded English audio files only. No production multilingual support in API v1.
- No real-time streaming
- The public contract is file-based. You upload a file and get the full result back; there is no websocket or streaming endpoint.
- File limits and formats
- Up to 30 MB and 60 minutes per file. WAV, FLAC, MP3, M4A, OGG, and WebM are supported.
- Request behavior
- Synchronous REST: one POST, one response. Every response reports its measured duration and estimated cost.
- Pricing
- Emotion on Spectra 1 costs $0.0060 per audio minute (pricing version 2026-07-11), metered per measured second with a one-second minimum. Full rates on the pricing page.
- Data retention and training
- Audio and outputs are not retained after the response is returned; billing and audit metadata is kept. oruk never trains on customer content.
- What scores are — and are not
- Emotion scores are probabilistic acoustic signals calibrated on held-out audio. They are not intent, truth, medical, employment, or psychological judgments, and must not be the sole basis for consequential decisions. See responsible use.
- Model and version stability
- Models are versioned; Spectra 1 and Resonance are stable, Spectra 2 is in preview. Changes are announced on the changelog.
- Support
- Email access@oruk.ai; the production guide covers retries, limits, and error handling.
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