How do I use this speech to text api tool?
Upload a supported audio or video file, complete the security check, and click the button. The tool sends the file for AI transcription and returns editable text in the browser.
Try an upload-to-text demo for speech recognition workflows. Upload audio and see the transcript result before building with an API.
Short test recording, product prototype audio, or sample user upload
Output example
Use this page to test the kind of transcript output a speech-to-text workflow can return from an uploaded file.
Example transcript
The API should return clean transcript text that can be stored, searched, summarized, or shown in a product workflow.
Add a supported recording from your device.
The AI transcription workflow converts speech into editable text.
Use the transcript in notes, docs, research, captions, or content drafts.
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A speech-to-text API lets a product send audio and receive transcript text that can be stored, searched, summarized, or displayed to users.
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This page is a browser demo for short audio files. For production workflows, route uploads through your own backend and apply the privacy, logging, and retention rules your product needs.
Use clear audio, reduce background noise, avoid overlapping speakers, and upload the original file when possible.
For long-form dictation inside apps, use AI Dictation instead of browser upload tools.
Upload a supported audio or video file, complete the security check, and click the button. The tool sends the file for AI transcription and returns editable text in the browser.
Yes. The page is designed as a free online transcription tool for short files. No account or credit card is required to use the basic workflow.
This page is a public demo tool. For a production app, use a backend integration with authentication, rate limits, file handling, and your own product rules.
You can upload MP3, WAV, M4A, WebM, OGG, and MP4 files up to 25MB.
Test noisy audio, accents, expected file formats, long recordings, privacy requirements, and whether the transcript is clean enough for your product workflow.