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wizper

WHISPER

Wizper is a multilingual speech recognition and translation model based on Whisper v3 that quickly and accurately converts audio files into text. It is optimized for real-time transcription and translation.

Avg Run Time: 10.000s

Model Slug: wizper

Playground

Input

Enter a URL or choose a file from your computer.

Advanced Controls

Output

Example Result

Preview and download your result.

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 total cost depends on how long the model runs. It costs $0.001080 per second. Based on an average runtime of 10 seconds, each run costs about $0.0108. With a $1 budget, you can run the model around 92 times.

API & SDK

Create a Prediction

Send a POST request to create a new prediction. This will return a prediction ID that you'll use to check the result. The request should include your model inputs and API key.

Get Prediction Result

Poll the prediction endpoint with the prediction ID until the result is ready. The API uses long-polling, so you'll need to repeatedly check until you receive a success status.

Readme

Table of Contents
Overview
Technical Specifications
Key Considerations
Tips & Tricks
Capabilities
What Can I Use It For?
Things to Be Aware Of
Limitations

Overview


Technical Specifications


Key Considerations


Tips & Tricks


Capabilities


What Can I Use It For?


Things to Be Aware Of


Limitations


Pricing

Pricing Detail

This model runs at a cost of $0.001080 per second.

The average execution time is 10 seconds, but this may vary depending on your input data.

The average cost per run is $0.010800

Pricing Type: Execution Time

Cost Per Second means the total cost is calculated based on how long the model runs. Instead of paying a fixed fee per run, you are charged for every second the model is actively processing. This pricing method provides flexibility, especially for models with variable execution times, because you only pay for the actual time used.