Automatic SpeechRecognition for GlobalEnterprises
Zero STT delivers state-of-the-art transcription across 216+ languages with native multilingual understanding, streaming performance under 500ms, and the industry's best composite accuracy on OpenASR.
3.10%
Composite WER
#1
OpenASR Leaderboard
216+
Languages Supported
240+
Concurrent Streams/GPU
Real Speech
Built For The Audio You Actually Receive
Most speech recognition models are evaluated on clean datasets. Production audio isn't clean.
- 01Customers call from trains.
- 02Agents wear cheap headsets.
- 03People switch languages mid sentence.
- 04Names don't exist in English dictionaries.
Zero STT was built for theseconversations.
State-of-the-Art Accuracy
#1 Composite WER Across 8 Benchmarks
Zero STT tops the OpenASR leaderboardat a 3.10% composite WER - a 45% relativereduction versus the best published baseline.
| Benchmark | Zero STT | NVIDIA Canary-Qwen 2.5BCanary 2.5B | Best Published BaselineBaseline | Relative GainGain |
|---|---|---|---|---|
| LibriSpeech Clean | 0.71% | 1.58% | 1.42% | 50% |
| SPGISpeech | 1.10% | 1.90% | 1.90% | 42% |
| TedLium | 1.43% | 2.71% | 2.71% | 47% |
| LibriSpeech Other | 2.17% | 3.12% | 2.87% | 24% |
| AMI | 4.19% | 9.65% | 9.12% | 54% |
| VoxPopuli | 4.34% | 5.63% | 5.63% | 23% |
| GigaSpeech | 4.99% | 9.43% | 9.43% | 47% |
| Earnings22 | 5.83% | 10.02% | 9.53% | 39% |
| Composite | 3.10% | 5.63% | n/a | 45% |
More Than Speech Recognition
Streaming Recognition
Sub-500ms first token for live conversations.
Speaker Diarization
Separate speakers automatically.
Intent Detection
Classify customer intent while transcribing.
Sentiment Analysis
Detect satisfaction, frustration, urgency.
Emotion Detection
Track emotional changes throughout conversations.
Smart Formatting
Punctuation, capitalization, timestamps, keyword detection, translation, transliteration and profanity masking in one API.