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.
- Pris
- ≈ 0,0034 US$/kørsel
- Input → output
- Lyd → Tekst
- Udvikler
- OpenAI
- Opdateret
- 23. september 2026
Playground
Prøv Whisper
Input & resultat
Denne kørsel
ca. 0,0034 US$ · 0,34 credits
0,0101Â US$ (1,01 credits) reserveres ved start; den faktiske GPU-tid faktureres.
Ny her?
10 gratis credits (0,10 US$) når du tilmelder dig med Google
Kan bruges 24 timer efter tilmelding, op til 5 kørsler pr. dag og højst 2 credits pr. kørsel. Andre login-metoder starter uden credits. Nok til 9 kørsler af denne 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.
Om Whisper
Whisper er en model af OpenAI i kategorien Talestemme-til-tekst (STT). På Railwail koster Whisper ≈ 0,0034 US$ pr. kørsel.
Priser
| Typisk kørsel (≈ 12 s på T4) | 0,0034 US$ pr. kørsel |
|---|---|
| GPU-tid (T4) | 0,00027Â US$ pr. GPU-sekund |
- Faktureres efter den GPU-tid, som kørslen faktisk tager. Når kørslen starter, reserveres 3× den typiske pris fra din saldo og afregnes efterfølgende.
- 1 kredit = 0,01Â US$
Omkostningsberegner
Prisberegner
Typisk ifølge udbyderen: ca. 12,4 s
I alt
0,34Â US$
34 credits
Pr. kørsel
0,0034 US$ · 0,34 credits
Fakturering efter faktisk GPU-tid; dette er et estimat.
API
curl https://railwail.com/api/v1/audio/transcriptions \
-H "Authorization: Bearer $RAILWAIL_API_KEY" \
-F model='whisper-replicate' \
-F file=@audio.mp3import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["RAILWAIL_API_KEY"],
base_url="https://railwail.com/api/v1",
)
with open("audio.mp3", "rb") as audio:
transcript = client.audio.transcriptions.create(
model="whisper-replicate",
file=audio,
)
print(transcript.text)import fs from "node:fs";
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.RAILWAIL_API_KEY,
baseURL: "https://railwail.com/api/v1",
});
const transcript = await client.audio.transcriptions.create({
model: "whisper-replicate",
file: fs.createReadStream("audio.mp3"),
});
console.log(transcript.text);Specifikationer
- Model-ID
whisper-replicate- Udvikler
- OpenAI
- Kategori
- Talestemme-til-tekst (STT)
- Input
- Lyd
- Output
- Tekst
- Fakturering
- Efter forbrug (tokens eller GPU-tid)
- Katalogelement opdateret
- 23. september 2026
Inputparametre
Inputs og indstillinger fra modellens inputskema. Eksemplet i API-afsnittet viser, hvilke af dem API'en accepterer.
audiopåkrævetURL or upload of the audio file to transcribe
Type: TekstStandard: –Tilladte værdier: –modelType: ValgStandard:large-v3Tilladte værdier: large-v3, large-v2, medium, small eller baselanguageOptional ISO-639-1 language code (e.g. en, de, fr); auto-detected if omitted
Type: TekstStandard: –Tilladte værdier: –translateType: Ja/NejStandard:falseTilladte værdier: –temperatureType: TalStandard:0Tilladte værdier: 0 til 1
Tags
- replicate
- openai
- whisper
- stt
- transcription
- multilingual
- open-weights
Anvendelsestilfælde
Relaterede vejledninger
Alle modeller i Talestemme-til-tekst (STT)Ofte stillede spørgsmål
Hvad er Whisper?
Whisper er en model fra OpenAI i kategorien Talestemme-til-tekst (STT). På Railwail kan du kalde den med en API-nøgle via Railwail API.
Hvad koster Whisper på Railwail?
På Railwail koster Whisper ≈ 0,0034 US$ pr. kørsel. Du betaler for det, som hver anmodning faktisk bruger. Forbrug betales fra forudbetalte credits; 1 credit svarer til 0,01 US$.
Hvilke indstillinger understøtter Whisper?
Ifølge dens inputskema kender Whisper disse parametre: audio, model (large-v3, large-v2, medium, small eller base), language, translate og temperature (0 til 1).
Hvor hurtig er Whisper?
Der er endnu ikke nok målte kørsler af Whisper på Railwail til at angive en udførelsestid. Det afhænger af inputtet, indstillingerne og belastningen hos provideren.
Er Whisper bedre end Incredibly Fast Whisper?
Det afhænger af opgaven. Whisper (OpenAI) og Incredibly Fast Whisper (Community) er begge modeller i kategorien Talestemme-til-tekst (STT). Sammenligningssiden viser deres priser og specifikationer side om side.
Sammenlign Whisper og Incredibly Fast WhisperHvordan bruger jeg Whisper via API'en?
Opret en Railwail API-nøgle og send din anmodning med model-ID'en whisper-replicate. Kodeeksempler til curl, Python og JavaScript findes i API-sektionen på denne side.
Sammenlignelige modeller
Alle i denne kategori- Incredibly Fast WhisperCommunity
Whisper Large v3 wrapped with Hugging Face Transformers optimizations (batched inference, flash attention) for very high throughput. Transcribes hours of audio in minutes on a single GPU. Maintained by Vaibhav Srivastav. Good when you need bulk transcription fast.
- SeamlessM4TCommunity
Meta's SeamlessM4T multimodal translation model. Takes speech or text input and produces transcription or translation across about 100 languages, including speech-to-text and speech-to-speech. One model covers ASR plus cross-lingual translation without chaining separate systems.
- SeamlessM4T v2 Large (Speech)Community
Meta SeamlessM4T v2 Large speech mode. Speech-to-speech, speech-to-text, and text-to-speech translation across 100+ languages in a single unified model.
Brug Whisper via API'en
En API-nøgle til alle modeller på Railwail. Forbrug debiteres fra forudbetalte credits, 1 credit = 0,01 US$.