The work is executed in the page through browser workers, WebAssembly, Web Audio, or WebGPU as stated.
TXT / AVAILABLE NOW
Speech to Text
Turn sound into notes. Transcribe interviews, voice notes, and lectures with local-first speech recognition.
TXT / dedicated toolWhisper model loads on first use
LOCAL TRANSCRIPT
Recognized text and timestamps appear here. Choose the spoken language for reliable multilingual results.
GUIDE / transcribe audio online privately
What does speech to text do?
Speech recognition converts spoken audio into text tokens and timestamps. SoundTools resamples the source for Whisper, performs inference through WebGPU, and formats the returned segments into editable text and subtitle files.
FIELD NOTES / 01
A real local processor, not a decorative upload box
Whisper Tiny WebGPU runs after you choose a source and explicitly start the operation. The audio samples remain in browser memory; SoundTools does not send the selected media to an application endpoint.
Choose the spoken language explicitly, then start local transcription and keep the tab open while the model processes consecutive chunks. Results remain available for preview and download only in the current tab. Closing or refreshing the page releases those temporary objects.
PROCESS / THREE STEPS
How to use speech to text
- 01
Choose the local source
Open a compatible file in the dedicated workbench at the top of this page. The browser validates and decodes it without an upload step.
- 02
Set the useful controls
Choose the spoken language explicitly, then start local transcription and keep the tab open while the model processes consecutive chunks.
- 03
Process, check, and export
Run the local processor, inspect the status and preview, then save TXT · SRT · VTT when the result is ready.
SIGNAL NOTES / VERIFIED BEHAVIOR
What this tool actually does
Clear limits are part of a useful tool. These values describe the processor currently running in this page.
Runtime and model assets may be downloaded, but the selected file is not attached to those requests.
The dedicated workbench exposes only formats it can actually produce in the current browser.
USE CASES / 02
Useful reasons to open speech to text
- Interview notes
Create a first-pass transcript without sending the recording to a transcription API.
- Subtitle draft
Export timestamped SRT or VTT for later correction.
- Voice memo search
Turn a spoken note into copyable text that is easier to scan.
QUESTIONS / PRACTICAL ANSWERS
Questions about this tool
Answers based on the current browser processor—not promises about a future version.
01Is my audio uploaded for processing?
No. Audio samples stay in browser memory. The page may download a codec or model asset, but it does not send the selected file with that request.
02Why can the first run take longer?
This tool uses Whisper Tiny WebGPU. A browser may need to download and initialize that runtime before the first operation; later runs can reuse cached assets.
03Can I preview the result before saving?
Yes. Audio-producing tools expose local result players, while analysis and transcription tools show their detected data before download.
04What happens when the browser is unsupported?
The workbench reports the missing capability instead of uploading the media or pretending that processing is still running.