AI Models
Choose Your Transcription Engine — Compare accuracy, speed, and language support across leading speech recognition models.
Hvordan man vælger den rigtige model
Forskellige transskriptionsmodeller udmærker sig på forskellige områder. Brug denne guide til at vælge den bedste model til dine behov.
| Model | WER | Speed | Sprog | Bedst for |
|---|---|---|---|---|
| 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 … |
Hvad er WER (Word Error Rate)?
Word Error Rate (WER) er standardmetrikken til måling af talegenkendelsesnøjagtigheden. Den beregner procentdelen af ord i et udskrift der afviger fra referencen. En WER på 5% betyder at cirka 5 ud af hvert 100 ord indeholder en fejl. Lavere er bedre.
Professionelle human transskriptionister opnår typisk en WER på 4-5%. De bedste AI-modeller matcher nu eller nærmer sig menneskelig nøjagtighed på ren lyd.
Er du ikke sikker på, hvilken model du skal bruge?
Prøv vores standard Whisper Large V3 Turbo leverer den bedste balance mellem hastighed og nøjagtighed. Gratis at starte, ingen tilmelding kræves.
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