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Use This ToolWhat is Transcripción de Audio?
Convert speech to text with high accuracy using a browser-based Whisper model. Supports 99 languages, generates timestamped transcripts, and exports to SRT, VTT, or plain text. No upload, no account.
Key Features
Powered by OpenAI Whisper (tiny/base/small models in WebAssembly)
Supports 99 languages with automatic language detection
Word-level timestamps for precise navigation
Export to SRT, VTT, and plain TXT formats
Speaker diarization (beta)
Real-time transcription for microphone input
Edit and correct transcript in-browser
Upload MP3, WAV, M4A, FLAC, OGG, WebM up to 500 MB
How It Works
1
Load Model
On first use, the Whisper model (approx. 150 MB) is downloaded once and cached in your browser.
2
Upload Audio
Drop your audio file or record directly from your microphone.
3
Transcription
The model processes your audio locally in chunks, producing timestamped text segments.
4
Review & Export
Read, edit, and search your transcript, then export in your preferred format.
Who Is This For?
- ▸Journalists transcribing interviews
- ▸Podcasters creating show notes and subtitles
- ▸Students transcribing lectures
- ▸Content creators generating captions for videos
- ▸Researchers transcribing qualitative data
Why Use Transcripción de Audio?
Unlike cloud-based alternatives that upload your files to remote servers, Transcripción de Audio runs entirely in your browser. Your data stays private. No account, no subscription, no upload limits — just instant results. Built with cutting-edge web technologies including WebAssembly and WebGL for near-native performance.
Technical Details
Uses whisper.cpp compiled to WebAssembly via Emscripten. Audio is decoded using the Web Audio API, chunked into 30-second segments, and processed in a dedicated Web Worker. Model files are cached using the Cache API.
Frequently Asked Questions
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