WaveSpeedSpeech to textComing soon
wavespeed-ai/openai-whisper-with-video
wavespeed-ai/openai-whisper-with-video is a speech to text tool from WaveSpeed that runs in the background and returns structured JSON. Coming soon: listed with its price, not yet open to runs.
This tool is listed but not yet available to run.
Price pendingPricing
Price pending.
Limits
- Runs
- In the background
- Returns
- json
- Longest queue wait
- 3600s
- Run deadline
- 1800s
- Largest inline input
- 1024 KB
- Largest input file
- 500 MB
- Largest output
- 4768 MB
- Outputs per run
- 16
Input
| Field | Kind | Default | Description |
|---|---|---|---|
video required | URL or file | — | Video file or URL to transcribe. Provide an HTTPS URL or upload a video file. Audio will be extracted for transcription. |
task | one of transcribe, translate | transcribe | The task to perform. 'transcribe' to the source language or 'translate' to English. |
prompt | text | — | An optional text to provide as a prompt to guide the model's style or continue a previous audio segment. The prompt should be in the same language as the audio. |
language | one of auto, af, am, ar, as, az, ba, be, bg, bn, bo, br, bs, ca, cs, cy, da, de, el, en, es, et, eu, fa, fi, fo, fr, gl, gu, ha, haw, he, hi, hr, ht, hu, hy, id, is, it, ja, jw, ka, kk, km, kn, ko, la, lb, ln, lo, lt, lv, mg, mi, mk, ml, mn, mr, ms, mt, my, ne, nl, nn, no, oc, pa, pl, ps, pt, ro, ru, sa, sd, si, sk, sl, sn, so, sq, sr, su, sv, sw, ta, te, tg, th, tk, tl, tr, tt, uk, ur, uz, vi, yi, yo, zh, yue | auto | Language spoken in the audio. Set to 'auto' for automatic language detection (default). |
enable_timestamps | true or false | false | Enable to generate word-level timestamps for the transcription. Note: This may increase processing time. |
Same request in code
curl https://api.spiral.ai/v1/runs \
-H "Authorization: Bearer $SPIRAL_API_KEY" \
-H "Content-Type: application/json" \
-H "Idempotency-Key: $(uuidgen)" \
-d '{
"provider": "wavespeed",
"model": "wavespeed-ai/openai-whisper-with-video",
"input": {
"video": "<video>"
}
}'