AI Models
Choose Your Transcription Engine — Compare accuracy, speed, and language support across leading speech recognition models.
He pēhea te kōwhiri i te tauira tika
He rerekē ngā tauira whakahuatuhi i ngā wāhi rerekē. Ka whakamahia tēnei tohutoro hei kōwhiri i te tauira pai rawa mō ōna hiahia.
| Model | WER | Speed | reo | Pai ake mō |
|---|---|---|---|---|
| STT.ai Enhanced | 3.2% | 160.0x | 100 | STT.ai's flagship speech-to-text model with best-in-class accuracy and speed. Optimized … |
| Whisper Large V3 | 4.2% | 8.0x | 99 | OpenAI's largest and most accurate Whisper model. Excellent multilingual support … |
| Whisper Turbo | 5.1% | 32.0x | 99 | OpenAI's speed-optimized Whisper variant. 4x faster than Large V3 with … |
| NVIDIA Canary | 3.5% | 45.0x | 4 | NVIDIA's multi-task ASR model with top-tier accuracy on English. Built … |
| Moonshine | 7.8% | 80.0x | 1 | Ultra-lightweight ASR model designed for edge devices. Runs on Raspberry … |
| NVIDIA Parakeet | 3.0% | 55.0x | 1 | NVIDIA's CTC-based English ASR model. One of the most accurate … |
| SenseVoice | 5.5% | 50.0x | 50 | Multilingual speech understanding model with emotion recognition and audio event … |
| Distil-Whisper | 5.8% | 48.0x | 99 | Distilled version of Whisper Large V3. 6x faster with 49% … |
| Vosk | 12.0% | 100.0x | 20 | Lightweight offline speech recognition. Works without internet, ideal for privacy-sensitive … |
He aha te WER (Wāhi hapa Wā)?
Ko te Wāhanga hapa Wā (WER) te paerewa paerewa mō te ine i te tika o te mōhiotanga reo. E tatau ana i te ōrautanga o ngā kupu i roto i tētahi tāruatanga e rerekē ana i te tohutoro. Ko te tikanga o te WER o te 5% e tata ana ki te 5 o ia 100 ngā kupu kei roto he hapa. He iti iho te pai ake.
Ko ngā kaituhituhi whai tikanga tangata e tae ana ki te WER o te 4–5% ko ngā tauira AI pai rawa ināianei e ōrite ana, e tata ana rānei ki te tika o te taumata tangata i runga i te oro mārama.
Kāore e mōhio he tauira hei whakamahi?
Ka whakamātautau tātau ki te pūmau - Whisper Large V3 Turbo e tuku ana i te taurite pai rawa o te tere me te tika. Whakarewa hei tīmata, kāore he whakaingoatanga e hiahiatia ana.
Ka tīmata te whakamāoritanga