Whisper Speech Recognition · On-Device

Free Whisper AI Online

Run OpenAI's Whisper speech recognition model in a compatible browser. Upload a recording, use your microphone, or paste a direct audio link to create a transcript. Microphone and file processing stays on your device; URL imports may use a retrieval proxy. No account or API key required.

Local Processing

No API Key

Timestamps & Export

Drop your audio file hereOr click to browse filesMP3 · WAV · M4A · MP4 · OGG · WEBM

Output

Live transcript, copy actions, and subtitle exports.

Transcript

Load audio from a file, recording, or URL to get started.

Requires a WebGPU-capable device (Chrome or Edge desktop recommended). The model downloads on first use; processing speed varies by hardware.

Live Voice · Audio Files (MP3, WAV, M4A) · URL to Text · Multilingual Audio

What Is Whisper AI Online?

Whisper AI online is a way to use OpenAI's speech recognition model from a web page. The model turns spoken audio into text; this interface lets you choose a recording, run transcription, and export the result. Read our guide to Whisper AI for more about the underlying model.

Whisper Web AI provides a browser interface for that model. A desktop setup requires installing software and managing models yourself; here, the selected model downloads when you use the tool above.

Choose a Whisper AI Online Workflow

Record live speech, upload audio files, or paste a direct public audio link. Choose the input that matches your recording so you 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.

Read product overview →

Speech to Text Tools

Compare file, microphone, and direct-link workflows, then jump straight to the input type you need.

Browse Tool Directory →

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 →

Timestamped Whisper AI transcription and export preview

Supported Languages, Formats, and Export Options

Common browser-decodable formats include MP3, WAV, M4A, OGG, and WEBM. Enable Multilingual to select a source language or translate speech into English. Review timestamped segments, then choose a text or subtitle format for your next step.

Timestamped transcript segments
Download TXT, SRT, or VTT; copy JSON
Multilingual transcription support
No signup or API key

Whisper AI in Your Browser vs. Cloud Transcription

Both convert speech to text. What differs is where your recording is processed, which hardware runs the model, and how you get started.

Consideration	This browser tool	Typical cloud service
Microphone and file audio	Processed on your device	Usually uploaded to a provider
Account or API key	Not required	Depends on the provider
Processing hardware	Requires a WebGPU-capable device	Provider servers run the model
Network connection	Needed to open the page and download the model	Typically required for upload and results

For on-device source-audio handling, use microphone recording or file upload. Direct audio URL imports may use a streaming proxy to retrieve remote media before local transcription.

When to Use Whisper AI Online (and When It Doesn't Fit)

From voice notes to long-form recordings, browser-based Whisper AI transcription works for real workflows where spoken content needs to become usable text.

Meetings

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

Podcasts

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

Subtitles

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

Lectures

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

Voice Notes

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

This workflow fits recordings you can review after transcription. For saved recordings, use audio file transcription; for new speech, use microphone recording. It does not generate live captions while you speak.

It does not extract article text from web pages or accept YouTube and Spotify player links. Devices without WebGPU need another option, and long recordings may exceed browser memory. Background noise and overlapping speakers can reduce accuracy; review names, numbers, and technical terms before publishing or relying on a transcript.

How Whisper AI Online Works

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

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.

Run browser-based transcription

The browser tool loads the Whisper AI model and processes audio with visible progress while the interface stays responsive. You can follow each step without configuring a remote transcription API.

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.

Export and reuse

Copy plain text or timestamped JSON, or download TXT, SRT, and VTT files. Use the result for notes, editing, subtitle preparation, or archiving.

Test Whisper AI with Sample Audio

Download the sample WAV, select Audio to Text above, choose the file, and click Transcribe Audio. Inspect the timestamped results and try the TXT, SRT, or VTT downloads for yourself.

Download sample WAV recording

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

Frequently Asked Questions

Answers about Whisper AI transcription, supported inputs, privacy, and export options.

Is Whisper AI transcription private in this browser tool?

Microphone recordings and uploaded files are processed on your device. Direct audio URLs may use a streaming proxy to retrieve remote media before local transcription, so privacy depends on which input you choose.

Which audio formats can Whisper AI transcribe?

Use a live microphone, upload an audio file such as MP3, WAV, or M4A, or paste a direct public audio-file URL. A regular web page with an embedded player is not the same as a direct audio link.

Can I export timestamped transcripts and subtitles?

Yes. Review timestamped segments, download a TXT transcript or SRT and VTT subtitles, or copy timestamped JSON. Check the timing and wording before using subtitles in a finished video.

Can Whisper AI transcribe different languages?

The tool supports multilingual speech recognition with language and task controls. Results depend on the language, audio quality, and selected model.

Which browsers support local audio transcription?

This transcription engine requires WebGPU. Chrome or Edge on a compatible desktop device is the best place to start; other browsers and devices may not support it. Speed also depends on available memory and graphics hardware.

Do I need an account or paid plan?

No. There is no subscription or per-minute charge, and you do not need an account or API key. Your device handles the transcription.

Do I need to install anything to run Whisper AI online?

No desktop app is required. Open this page in a compatible browser and choose your input. The speech recognition model downloads into the browser when needed.

What's the difference between Whisper AI and Whisper Web AI?

Whisper AI refers to OpenAI's open-source speech recognition technology. Whisper Web AI is an independent browser-based interface that makes it accessible without a desktop setup and is not affiliated with or endorsed by OpenAI.