Whisper Large v3 Turbo
Free.ai
·
stt
·
~500 tokens per minute
Whisper Large v3 Turbo is a speech-to-text model. Routed through external models — ~500 tokens per minute (50% markup over upstream cost).
Use via API
curl -X POST https://api.free.ai/v1/stt/ \
-H "Authorization: Bearer sk-free-..." \
-H "Content-Type: application/json" \
-d '{"model":"premium/whisper-large-v3-turbo","audio_url":"https://..."}'Frequently Asked Questions
Whisper Large v3 Turbo transcribes spoken audio into text. Upload an MP3, WAV, M4A, or video file and Whisper Large v3 Turbo returns the full transcript plus optional SRT/VTT subtitles with timestamps.
Whisper Large v3 Turbo handles dozens of languages — Whisper-family models cover 90+, Parakeet covers ~25, others vary. Pick "auto-detect" or specify the language for highest accuracy.
Word-error rate is 5–10% on clean English audio, 10–20% on noisy or accented audio. Large variants of the same architecture do meaningfully better on hard cases — pick larger when the audio is rough.
Yes — every segment includes start/end timestamps. Export as SRT or VTT and the times map straight onto your video.
Whisper Large v3 Turbo is a premium transcription engine. About ~500–1,500 tokens per minute of audio. $1 = 750,000 tokens.
MP3, WAV, M4A, FLAC, OGG, plus video (MP4, MOV, WebM) — we extract the audio. Max 500 MB per upload. Longer files? Split with /audio/cut/ or use /v1/stt/batch/.
Speaker diarization is a separate pass — toggle "diarize" on /transcribe/. Whisper Large v3 Turbo handles the transcription; diarization labels each segment with Speaker 1 / Speaker 2 / etc.
Yes — /batch/ accepts a folder of audio files. Each transcript lands in /account/?tab=history with the original filename. For folder-tree preservation use the API.
Yes — POST your audio to /v1/stt/transcribe/ with model="Whisper Large v3 Turbo". Returns JSON with text + segments + word-level timestamps. /api/ has the full reference.
Self-hosted models keep audio on our GPUs; premium pass through with a DPA. Audio is deleted after the share-window (24h anon, 7d signed-in). We do not train on your inputs.
Yes — Free.ai grants commercial use of transcripts. You need rights to the audio you uploaded (your own recording, licensed material, or content with consent).
Real-time factor is roughly 0.05–0.2× — a 60-minute podcast transcribes in 3–12 minutes. Premium models often finish faster. Use the queue button to close the tab.