AI Models
Choose Your Transcription Engine — Compare accuracy, speed, and language support across leading speech recognition models.
Kijan pou yo chwazi modèl la dwa
Diferan modèl transkriptyon excel nan zòn diferan. Itilize gid sa a pou chwazi pi bon modèl pou bezwen ou yo.
| Model | WER | Speed | Lang | Pi bon pou |
|---|---|---|---|---|
| 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 … |
Ki sa ki se WER (Word Error Rate)?
Rapò erè mo (WER) se metrik standard pou mezire egzakteman reconnaissance diskou. Li kalkile pousan de mo nan yon transkript ki diferan de referans. Yon WER de 5% vle di ke 5 nan chak 100 mo gen yon erè. Pi ba se pi bon.
Pwofesyonèl transkriptè imen anjeneral rive jwenn yon WER de 4-5%. pi bon modèl AI kounye a matche oswa alantou presizyon nivo imen sou son pwòp.
Pa konnen ki modèl pou itilize?
Ou ka eseye nou pa default - Whisper Large V3 Turbo bay pi bon balans ant vitès ak presizyon. Gratis pou kòmanse, pa gen okenn enskripsyon nesesè.
Kòmanse transkriptyon gratis