Whisper
whisper-replicateOpenAI's Whisper running on Replicate. General-purpose speech recognition trained on 680k hours of multilingual audio. Transcribes and translates 99 languages, robust to accents and background noise, and outputs plain text, segments, or word-level timestamps.
- Preț
- ≈ 0,0034 USD/rulare
- Intrare → ieșire
- Audio → Text
- Dezvoltator
- OpenAI
- Actualizat
- 23 septembrie 2026
Playground
Încearcă Whisper
Intrare & rezultat
Această rulare
aproximativ 0,0034 USD · 0,34 credite
La start se rezervă 0,0101 USD (1,01 credite); se factureaza timpul GPU real.
Nou aici?
10 credite gratuite (0,10 USD) când te înregistrezi cu Google
Utilizabil 24 ore după înregistrare, până la 5 rulări pe zi și maximum 2 credite pe rulare. Alte metode de conectare încep fără credite. Suficient pentru 9 rulări ale acestui model.
Examples
Response
the little tales they tell are false the door was barred locked and bolted as well ripe pears are fit for a queen's table a big wet stain was on the round carpet the kite dipped and swayed but stayed aloft the pleasant hours fly by much too soon the room was crowded with a mild wab the room was crowded with a wild mob this strong arm shall shield your honour she blushed when he gave her a white orchid the beetle droned in the hot june sun the beetle droned in the hot june sun
Response
Imagine that this folder is a dimensional plane. Now, assuming that it has no height and no depth, what would this mean? It would mean that it's a one-dimensional world. So if, hypothetically, an organism was living inside of it, it would only be able to move in a linear path forward and backwards, in a straight line. Now, if we go to the second dimension, we have two dimensions. We have width and we have length. So hypothetically, if an organism lived inside of here, then it would be able to move up, down, left, right, and anywhere else in between. And a two-dimensional world is comprised of an infinite series of one-dimensional worlds stacked upon each other. Just as our three-dimensional world, which has depth and length and height, is comprised of an infinite series of two-dimensional worlds. So now that I have stacked many folders upon each other, we have three dimensions. We have depth, we have length, and we have width. Now, what happens if you keep going on from here on out? We would have a four-dimensional world, but what exactly is a fourth dimension? In order to understand this, we need to understand how dimensions are perceived. We live in the three-dimensional world, but despite that, we actually view things to be two-dimensionally. Take a perfect sphere, for example. If you're looking at a sphere, it looks just like a regular two-dimensional circle. The only way that you can tell, it's an actual sphere instead of a circle, is because of the hues of light down.…
Settings
- language
- auto
Response
The little tales they tell are false. The door was barred, locked, and bolted as well. Ripe pears are fit for a queen's table. A big wet stain was on the round carpet. The kite dipped and swayed, but stayed aloft. The pleasant hours fly by much too soon. The room was crowded with a mild wob. The room was crowded with a wild mob. This strong arm shall shield your honour. She blushed when he gave her a white orchid. The beetle droned in the hot June sun.
Despre Whisper
Whisper este un model de OpenAI din categoria Recunoaștere vocală (STT). Pe Railwail, Whisper costă ≈ 0,0034 USD per rulare.
Prețuri
| Rulare tipică (≈ 12 s pe T4) | 0,0034 USD per rulare |
|---|---|
| Timp GPU (T4) | 0,00027 USD per secundă GPU |
- Se facturează timpul GPU pe care îl necesită efectiv rularea. La pornire, se rezervă din soldul tău 3× prețul tipic și se decontează ulterior.
- 1 credit = 0,01 USD
Calculator de costuri
Calculator de preț
Tipic conform furnizorului: aprox. 12,4 s
Total
0,34 USD
34 credite
Pe rulare
0,0034 USD · 0,34 credite
Se factură după timpul GPU real; aceasta este o estimare.
API
curl https://railwail.com/api/v1/audio/transcriptions \
-H "Authorization: Bearer $RAILWAIL_API_KEY" \
-F model='whisper-replicate' \
-F file=@audio.mp3import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["RAILWAIL_API_KEY"],
base_url="https://railwail.com/api/v1",
)
with open("audio.mp3", "rb") as audio:
transcript = client.audio.transcriptions.create(
model="whisper-replicate",
file=audio,
)
print(transcript.text)import fs from "node:fs";
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.RAILWAIL_API_KEY,
baseURL: "https://railwail.com/api/v1",
});
const transcript = await client.audio.transcriptions.create({
model: "whisper-replicate",
file: fs.createReadStream("audio.mp3"),
});
console.log(transcript.text);Specificații
- ID model
whisper-replicate- Dezvoltator
- OpenAI
- Categorie
- Recunoaștere vocală (STT)
- Intrare
- Audio
- Ieșire
- Text
- Facturare
- După utilizare (tokeni sau timp GPU)
- Intrare catalog actualizată
- 23 septembrie 2026
Parametri de intrare
Intrări și setări din schema de intrare a modelului. Exemplul din secțiunea API arată care dintre ele acceptă API-ul.
audioobligatoriuURL or upload of the audio file to transcribe
Tip: TextImplicit: –Valori permise: –modelTip: AlegereImplicit:large-v3Valori permise: large-v3, large-v2, medium, small sau baselanguageOptional ISO-639-1 language code (e.g. en, de, fr); auto-detected if omitted
Tip: TextImplicit: –Valori permise: –translateTip: Da/NuImplicit:falseValori permise: –temperatureTip: NumărImplicit:0Valori permise: 0 până la 1
Etichete
- replicate
- openai
- whisper
- stt
- transcription
- multilingual
- open-weights
Cazuri de utilizare
Întrebări frecvente
Ce este Whisper?
Whisper este un model de OpenAI din categoria Recunoaștere vocală (STT). Pe Railwail îl poți apela cu o cheie API prin Railwail API.
Cât costă Whisper pe Railwail?
Pe Railwail, Whisper costă ≈ 0,0034 USD per rulare. Ți se percepe taxa pentru ceea ce fiecare cerere folosește efectiv. Utilizarea se plătește din credite prepay; 1 credit egal cu 0,01 USD.
Ce setări acceptă Whisper?
Conform schemei sale de intrare, Whisper cunoaște acești parametri: audio, model (large-v3, large-v2, medium, small sau base), language, translate și temperature (0 până la 1).
Cât de rapid este Whisper?
Nu sunt suficiente rulări măsurate ale Whisper pe Railwail încă pentru a indica un timp de rulare. Depinde de intrare, de setări și de sarcina la furnizor.
Este Whisper mai bun decât Incredibly Fast Whisper?
Depinde de sarcină. Whisper (OpenAI) și Incredibly Fast Whisper (Community) sunt ambele modele din categoria Recunoaștere vocală (STT). Pagina de comparație arată prețurile și specificațiile lor una lângă alta.
Compară Whisper și Incredibly Fast WhisperCum folosesc Whisper prin API?
Creează o cheie Railwail API și trimite cererea cu ID-ul modelului whisper-replicate. Exemple de cod pentru curl, Python și JavaScript sunt în secțiunea API a acestei pagini.
Modele comparabile
Toate din această categorie- Incredibly Fast WhisperCommunity
Whisper Large v3 wrapped with Hugging Face Transformers optimizations (batched inference, flash attention) for very high throughput. Transcribes hours of audio in minutes on a single GPU. Maintained by Vaibhav Srivastav. Good when you need bulk transcription fast.
- SeamlessM4TCommunity
Meta's SeamlessM4T multimodal translation model. Takes speech or text input and produces transcription or translation across about 100 languages, including speech-to-text and speech-to-speech. One model covers ASR plus cross-lingual translation without chaining separate systems.
- SeamlessM4T v2 Large (Speech)Community
Meta SeamlessM4T v2 Large speech mode. Speech-to-speech, speech-to-text, and text-to-speech translation across 100+ languages in a single unified model.
Folosește Whisper prin API
O cheie API pentru fiecare model pe Railwail. Utilizarea se percepe din credite prepay, 1 credit = 0,01 USD.