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
or click to browse
Supports MP3, WAV, FLAC, M4A, OGG, MP4, WebM (max 20MB)Uploading...
0%
Transcribing Audio...
This usually takes 30 seconds to 2 minutes depending on file length.
Transcription Complete!
Processing Failed
An error occurred while processing your file.
How It Works
- Upload audio or video file
- AI transcribes your audio
- 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
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
Powered by Advanced AI
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 |
Explore More Studio Tools
Text to Speech
Convert text to natural-sounding voice with multiple voice options.
Vocal Remover
Separate vocals from instrumentals in any song with AI precision.
Audio Enhancement
Improve audio quality with AI noise removal and clarity enhancement.
Voice Cloning
Clone any voice from a short audio sample for personalized speech.