Your recordings stay with you
The recognition model runs on your device. Your selected audio and transcript are not sent to a cloud transcription service. Export what you want to keep.
Whisper speech recognition · Audio to text · Video subtitles
Free audio to text.Free video subtitles.
Transcribe locally with Whisper, review your text, and export TXT, SRT or VTT for free. No signup. Your recordings stay on your device.
MP3 · MP4 · WAVTXT · SRT · VTT
All toolsLocal fileText & subtitles
Drop your audio or video here
MP3 · WAV · M4A · MP4 · WEBM · MOV · OGG · OPUS · AAC · FLAC · Up to 200 MB / 20 minutes
Processed in your browser. No file upload.No signup · Free exports
01 / The model
Speech to text, powered by Whisper
A free browser workspace built around local speech recognition and practical subtitle tools.
What is Whisper?
Whisper is an open-source speech recognition model from OpenAI. It recognizes speech in multiple languages and turns it into text. This website brings file selection, transcript review, and subtitle export together around that model.
An interview, a lecture recording, or spoken dialogue in a video can become a transcript. Find a quotation, check a technical term, prepare notes, or use timed subtitles in your next edit.
Explore the official Whisper project02 / On your device
Why transcribe in your browser?
Keep your source files close while turning speech into something you can use.
No desktop installation or API key
Open the page and choose a file. The first use downloads a public model; later tasks can reuse the browser cache while it remains available.
Choose a method your device can handle
Local recognition uses memory and computing power. Prefer GPU acceleration when available, or use the tested CPU path. Larger files can take longer.
Full transcription has been tested in desktop Chrome on macOS. A responsive layout does not mean real-phone recognition has been verified. Start with a short, clear recording.
03 / The workflow
A complete path to a usable transcript
Recognize speech, review the result, and export the format you need.
Recognize speech with Whisper
Turn the words in a recording into original-language text. Check names, numbers, accents, and specialist terms.
Process locally
Keep recordings in your browser with no account required. Web pages and model downloads still need a network connection.
Create video subtitles
Read the audio track of a compatible local video and organize words into timed segments. Preview captions without changing the original video.
Review before you export
Edit words and start/end seconds, replay a segment, then download TXT text or SRT/VTT subtitles.
04 / Spoken languages
Recordings in different languages
The spoken language and the website language are separate choices.
- English
- Spanish
- Portuguese
- Chinese
- French
- German
- Japanese
- Korean
An English podcast produces English text; a Spanish interview produces Spanish text. Choose the spoken language or automatic detection. Accuracy varies by language, accent, and model. You can also translate to English for free. Other target languages and dubbing are not supported.
Start with what you need to do
Get a transcript, create captions, or convert an existing subtitle file.
Audio to Text
Turn interviews, lectures, and voice notes into editable text with local Whisper transcription.
MP3 · WAV · M4A · WEBM · OGG · OPUS · AAC · FLAC → TXT / SRT / VTTVideo to Text
Transcribe the spoken audio in a local video and export an editable text transcript.
MP4 · WEBM · MOV → TXT / SRT / VTTGenerate Subtitles
Create original-language SRT or VTT subtitles from audio or video, then edit the words and timing.
MP4 · WEBM · MOV · MP3 · WAV · M4A · OGG · OPUS · AAC · FLAC → TXT / SRT / VTTMP3 to Text
Transcribe MP3 podcasts, interviews, and recordings into a downloadable text file or subtitles.
MP3 → TXT / SRT / VTTWAV to Text
Transcribe WAV recordings from interviews, lessons, and recording equipment without uploading the audio.
WAV → TXT / SRT / VTTSRT to VTT
Convert an existing SRT subtitle file to WebVTT while preserving text and millisecond timing.
SRT → VTTVTT to SRT
Convert WebVTT subtitles into SRT for use in compatible editors and media players.
VTT → SRTSRT to Text
Extract readable text from SRT subtitles without sequence numbers or timestamps.
SRT → TXTSpeech to Text from Recordings
Turn recorded speech and voice notes into editable text for free. Record in the browser or select a local file, review the words, and export without an account.
MP3 · WAV · M4A · WebM · OGG · OPUS · AAC · FLAC → TXTM4A to Text
Convert M4A voice memos into editable text or timed subtitles in your browser. Keep your recording local and export TXT, SRT, or VTT.
M4A → TXT / SRT / VTTOGG to Text
Transcribe OGG voice recordings locally with Whisper. Review the transcript against the audio and download text or timed subtitles.
OGG → TXT / SRT / VTTVTT to Text
Extract readable text from WebVTT subtitles for free. Remove timecodes and subtitle markup locally while preserving the words in order.
VTT → TXTYouTube to Text
Convert a saved YouTube video to text for free. Select a local MP4, WebM or MOV, review the speech, and export TXT, SRT or VTT. Direct video links are not supported.
MP4 · WebM · MOV → TXT / SRT / VTTA few steps to a transcript
Spend your attention on the content.
- 01
Choose a recording
Start with a clear, short local audio or video file.
- 02
Listen and review
Compare the transcript with the source and correct important details.
- 03
Take the format you need
Download plain text for notes or timed subtitles for a player or editor.
Use cases
Practical workflows for podcast excerpts, meeting recordings, interviews, and lectures. Review locally, then export text or subtitles.
Podcast transcription
Turn a podcast recording into editable text and SRT or VTT captions. Transcribe locally, review guest names, and export material for your episode page.
Meeting transcription
Convert a saved meeting recording into searchable text without inviting a meeting bot. Review decisions and numbers locally, then export your transcript.
Interview transcription
Transcribe interview recordings without uploading the audio. Replay passages, check quotations and speaker names, then export editable text or subtitles.
Lecture transcription
Turn recorded lectures into searchable text or original-language subtitles. Review technical terms against the audio and export notes you can study from.
Common questions
Useful answers before you begin.
Does this website use Whisper?
Yes. It runs multilingual Whisper tiny, base and small models locally through Transformers.js. Base is the default; tiny has a smaller download but needs careful review.
What is free?
Local transcription, video audio recognition, basic subtitle editing, TXT/SRT/VTT export, and subtitle format conversion. No account is needed.
Are my files uploaded or saved?
No. Selected files and results stay in the browser. The program and public models are downloaded. Download your result before leaving because there is no cloud project storage.
Is transcription the same as translation?
No. Transcription writes speech in its original language. Translation changes it into another language. Select Translate to English for English text and subtitles. Other target languages and voice replacement are not supported.
Will noisy recordings work?
You can try, but noise, music, overlapping voices, and unusual names can cause errors. Use a clear original and check important content by listening.
Guides
Prepare your file, check the result, and download the format you need.
How to transcribe locally with Whisper
Prepare your device, understand the first model download, and keep a local transcript.
Turn a recording into a useful transcript
Choose the right source, set its language, proofread, and export text or captions.
Create and check subtitles for a video
Generate original-language captions, adjust timing, and take them into your player or editor.
SRT vs VTT: which subtitle format to use?
Compare headers, timestamps, web styling, and what a format conversion keeps.
How to add generated subtitles to your YouTube video
Prepare and review an SRT file locally, then upload it as a caption track for a video you manage in YouTube Studio.
Prepare a long recording for local transcription
Work within the 200 MB and 20-minute limits: prepare ordered excerpts, track time offsets, and preserve the original recording.
Transcription language vs translation: what to select
Understand the difference between website language, spoken-language recognition, and subtitle translation before starting Whisper.