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Speech to Text

Upload an audio or video file and receive a text transcript with timestamps. Whisper Large-V3 detects the spoken language automatically and handles accents, background noise, and technical vocabulary.

Drop your audio/video file here

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Supports MP3, WAV, FLAC, M4A, OGG, MP4, WebM (max 20MB)
1M+Transcriptions
99+Languages
~30sAvg Time

How It Works

  1. Upload audio or video file
  2. AI transcribes your audio
  3. Download text or SRT subtitles

Tips for Best Results

  • Use clear audio with minimal noise
  • Higher quality files give better results
  • Single speaker recordings are most accurate

Also Try

Why Choose Our AI Transcription

99+ Languages

Whisper identifies the spoken language on its own. You do not need to specify it before uploading. Over 99 languages are recognized, including regional accents and dialects.

High Accuracy

Trained on 680,000 hours of real-world audio, Whisper Large-V3 produces transcripts that hold up on noisy recordings, accented speech, and domain-specific terminology that trips up simpler models.

Timestamps

The transcript includes timestamps at the segment level, so you can locate any passage in the original recording without scrubbing through the audio by hand.

Multiple Formats

Download the result as plain text (TXT) or as an SRT subtitle file. SRT output drops directly into video editors and captioning platforms without reformatting.

Perfect For

Interviews Podcasts Meetings Lectures Subtitles Legal Transcripts Accessibility Content Creation

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OpenAI Whisper Large-V3

This tool uses Whisper Large-V3, the largest model in OpenAI's Whisper family, trained on 680,000 hours of multilingual audio. The model was trained on real-world recordings spanning studio audio, phone calls, lectures, and noisy environments, which is why it performs reliably on sources where simpler models lose accuracy.

Language detection happens automatically before transcription begins. The model reads phonetic patterns from the first few seconds of audio and selects the appropriate language model. Punctuation, capitalization, and segment timestamps are applied during transcription, not in a separate post-processing step, which keeps the output consistent across languages.

Frequently Asked Questions

Upload your audio or video file and the tool sends it to Whisper Large-V3 for transcription. The model identifies the spoken language, converts the speech to text, adds punctuation and capitalization, and attaches timestamps to each segment. The result is available to copy or download when processing finishes.

Audio formats: MP3, WAV, FLAC, M4A, OGG. Video formats: MP4, WebM. Files up to 20MB are accepted. If you have a video file, you do not need to extract the audio first; the tool processes video files directly.

Most files complete in 30 seconds to 2 minutes. A short interview of a few minutes typically finishes in under a minute. A full podcast episode of 60 minutes may take up to 2 minutes. The progress indicator updates while the model is working.

Accuracy is high on clean, clearly spoken audio. Background noise, heavy accents, multiple overlapping speakers, and low-quality recordings reduce accuracy. Whisper Large-V3 is OpenAI's most capable transcription model and outperforms earlier Whisper versions on difficult audio, but it is not infallible. Reviewing the transcript against the original is good practice for anything that will be published.

The transcript captures what is said by all speakers, but it does not label who said each line. Speaker diarization (tagging each turn by speaker) is not part of the output. If you need to distinguish between speakers, you will need to annotate the transcript manually after downloading it.

The TXT file is the plain transcript text, suitable for reading, searching, or pasting into documents. The SRT file contains the same text broken into numbered subtitle blocks, each with a timecode in the standard HH:MM:SS,ms format. SRT files are directly importable into video editors like Premiere Pro, DaVinci Resolve, and captioning platforms.

Yes. Download the SRT file and import it into your video editor or upload it directly to platforms that accept subtitle files such as YouTube, Vimeo, or Facebook. If your platform requires VTT format instead, most subtitle converters can transform SRT to VTT in a few seconds.

Whisper was trained on real-world audio that includes background noise and is more tolerant of imperfect conditions than older transcription services. Moderate background noise usually does not prevent transcription. However, heavy music, crowd noise, or very low speech volume can cause missed words or errors. Clean recordings always produce better results.

Yes. Whisper adds punctuation and capitalization as part of the transcription, not as a post-processing step. Sentence boundaries, commas, and question marks are included in the output. Accuracy of punctuation is generally high on clear speech and degrades on very fast or informal speech.

Yes, when you are logged in, completed transcriptions are stored in your account and listed below the upload area. You can view, download, or delete past transcriptions from there. Files are processed one at a time; upload the next file after downloading the previous result.

Free Speech to Text: AI Audio Transcription Online vs Other Methods

Feature Luxoret AI Manual / Traditional Other Tools
Cost per Use $0.02 $100-$500+ studio session $0.15-$0.50 per generation
Speed Results in seconds Hours in a studio Minutes per track
Equipment Just a browser Professional studio gear Desktop app required
Skill Required None — fully automated Audio engineering skills Some learning curve
Quality Professional AI output Depends on engineer skill Basic quality
Format Support MP3, WAV, and more Varies by studio Common formats only