Model

Whisper Transcriber Module

Upload audio and convert speech into highly accurate text using OpenAI’s Whisper transcription model.

Provider

OpenAI

Overview

The Whisper Transcriber module allows you to convert spoken audio into text with high accuracy. It supports a variety of audio types, including interviews, lectures, podcasts, and voice notes. Perfect for creating searchable text databases, generating captions, or feeding transcripts into AI workflows.

Key Features

Accurate Speech-to-Text

Supports Multiple Audio Formats

Seamless Integration

Noise Tolerance

Use Cases

Meeting & Lecture Transcriptions

Content Generation

Captioning & Accessibility

Audio Knowledge Management

User Manual

1. How to Use the Whisper Transcriber Module

Drag & Drop – Drag the Whisper Transcriber module into your workspace.

2. Upload Audio File

Click Choose File to upload the audio you want transcribed. Supports interviews, lectures, voice notes, and more.

3. Run the Module

Click to start transcription.

4. View the Result

The converted text appears in the Transcription Output section. Tip: Use clear, noise-free recordings for the most accurate transcription results.

Output Example

Audio input: file in folder

Output: without writing a single line of code.