Next-Gen Browser AI

Whisper Web AI - Private Speech to Text in Your Browser

Run Whisper online for meetings, interviews, podcasts, and voice notes. Microphone and file workflows stay on-device in your browser, with timestamped exports and no account required.

Local Processing
Completely Free
Timestamps & Export
Live Voice · Audio Files (MP3, WAV, M4A) · URL to Text · 98 Languages

Choose the Right Speech to Text Workflow

Record live speech, upload audio files, or paste a direct public audio link. Whisper Web keeps each input type clear so users can start with the right workflow immediately.

Start Here

Get the product overview, understand privacy tradeoffs, and then choose the file, microphone, or URL workflow that fits your source.

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Free Speech to Text Tools

Browse the full tool hub for free speech to text workflows, then jump straight to the input type you need.

Browse Free Tools →

Voice & Microphone

Use live microphone capture for meetings, dictation, interviews, and note-taking without creating a file first.

Try Voice to Text Tool →

Audio File Upload

Upload MP3, WAV, M4A, MP4, OGG, or WEBM files for private file-based transcription with timestamped output.

Try Audio to Text Converter →

URL to Text

Paste a direct public audio URL from a podcast feed, CDN, or hosted file and transcribe it without manual download.

Try URL to Text Converter →
Whisper Web AI transcript export preview

Supported Languages, Formats, and Export Options

Whisper Web supports common speech-to-text starting points and returns transcripts you can reuse. Work with microphone input, common audio formats, or direct audio URLs, then export the result for writing, subtitles, or internal documentation.

  • Timestamped transcript segments
  • TXT and JSON export
  • Multilingual transcription support
  • Fast copy-and-reuse workflow

Private by Default

Local processing for microphone and file workflows

No Upload No Account On-Device WASM Powered

Why Use Local Speech to Text Instead of Cloud Transcription

Many transcription tools require you to upload recordings before processing can begin. Whisper Web AI keeps microphone and file transcription on-device, which makes it a better fit for privacy-sensitive meetings, interviews, research recordings, and personal notes.

URL imports are handled differently. When a remote server blocks direct browser access, Whisper Web AI may use a lightweight proxy to stream the audio into your session before the model runs locally.

  • Browser-based processing for microphone and uploaded files
  • No signup required
  • Clear privacy expectations for each workflow
  • Flexible output for notes, subtitles, and archives

Common Speech to Text Use Cases

From voice notes to long-form recordings, Whisper Web is built for real workflows where spoken content needs to become usable text.

01

Meetings

Capture planning calls, interviews, and internal reviews as searchable text that can move straight into notes, follow-ups, and internal documentation.

02

Podcasts

Turn spoken episodes into text for show notes, editing, subtitle drafting, and repurposing across web, newsletter, and social channels.

03

Subtitles

Use transcript output as the starting point for captions, subtitles, and transcript-based editing workflows where timing and text both matter.

04

Lectures

Convert lectures and seminars into text for review, search, and study notes instead of relying on memory or scattered bookmarks in long recordings.

05

Voice Notes

Turn rough spoken ideas into drafts, task lists, and reference material that are easier to search, clean up, and reuse later.

How Our Whisper AI Tool Works

Four steps from source audio to a clean, exportable transcript.

1

Choose your input

Start with the source you already have: record live speech, upload an audio file, or paste a direct audio URL. Each workflow begins from a different input, but the outcome is the same: usable text.

2

Run browser-based transcription

Whisper Web loads the model in the browser and processes audio with visible progress while the interface stays responsive. That keeps the workflow simple without relying on a remote transcription API.

3

Review the transcript

Inspect transcript chunks and timestamps before exporting. This helps when the output will be used for quoting, editing, checking context, or preparing subtitle files.

4

Export and reuse

Copy the text or export it in formats such as TXT and JSON for downstream work. The result is ready for notes, editing, subtitles, or structured storage.

Speech to Text Guides and Tutorials

Practical articles on browser transcription, privacy-first workflows, subtitle preparation, and better speech-to-text results.

Whisper AI · Comparison

Whisper AI vs. Other AI Tools: Which Is Better for Private Transcription?

Compare Whisper AI with other AI transcription tools through the lens of privacy, browser workflow, and control, and see where Whisper Web fits best.

Read article
Whisper AI · Tutorial

How to Extract Text from a Podcast URL without Downloading

Learn how to use Whisper AI in Whisper Web to extract text from a podcast URL without downloading the audio first, and know when a direct link will work.

Read article
Whisper AI · Tutorial

How to Transcribe MP3 to Text Using Whisper AI for Free

Learn how to use Whisper AI in Whisper Web to convert MP3 to text for free, with timestamps, private browser processing, and no account required.

Read article
View all articles

What Whisper Web AI Is Good At

Whisper Web AI gives you a browser-based way to use Whisper online without a desktop install or account. For microphone and local file workflows, speech recognition runs on your device with WebAssembly so you can review and export transcripts without sending recordings to a transcription dashboard.

The product is organized around three starting points: live microphone capture, uploaded files, and direct audio URLs. That makes it easier to choose the right tool for note-taking, saved recordings, podcast episodes, or subtitle prep instead of forcing every job through the same interface.

Results still depend on model size, browser support, device memory, background noise, and speaker overlap. Review transcripts before using them for subtitles, publication, compliance, legal, medical, or other high-stakes decisions.

Frequently Asked Questions

Everything you need to know about Whisper Web's inputs, outputs, privacy, and export options.

What is Whisper Web?

Whisper Web is an online Whisper AI speech to text tool built around Whisper. It supports live microphone input, uploaded audio files, and direct audio URLs, then returns exportable transcripts with timestamps.

Is Whisper Web private and secure?

Microphone and local file transcription run on-device in your browser. URL imports may use a streaming proxy to fetch remote audio before local transcription starts, so privacy depends on the workflow you choose.

What inputs can Whisper Web handle?

Whisper Web supports three main inputs: live microphone audio, local audio files, and direct public audio URLs.

Does Whisper Web support timestamps?

Yes. Whisper Web returns transcript segments with timestamps, which is useful for editing, review, quoting, and subtitle work.

Can Whisper Web export transcript files?

Yes. Whisper Web supports transcript export in formats such as TXT and JSON, making the output easier to reuse across writing, editing, research, and archive workflows.

Does Whisper Web support multilingual transcription?

Yes. Whisper Web includes multilingual transcription with language and task controls, which is useful for international meetings, interviews, and language-learning content.

Which browsers work best with Whisper Web?

Chrome, Edge, and Firefox are usually the safest choices for Whisper Web because they handle modern worker and browser audio features well. Compatibility can vary by device and model size.

Is Whisper Web free to use?

The open-source whisper-web project is publicly available and can be run locally. Hosted versions of Whisper Web may apply their own limits, but the product category itself is well suited to free browser-based use.

Can I use Whisper online without installing anything?

Yes. Whisper Web lets you use Whisper online directly in your browser with no desktop install or account. The Whisper model runs locally with WebAssembly after the page loads and the model is downloaded.

What is the difference between Whisper Web and Whisper AI?

Whisper AI refers to OpenAI's open-source speech recognition model. Whisper Web is an online implementation that runs Whisper AI directly in your browser using WebAssembly, making it accessible without any API key, server setup, or technical configuration.