From audio and video
Files of up to 30 minutes
Turn the speech of an audio or a video into text.
Turn audio and video into text, with AI
Transcribe audio and video files or speak straight into the microphone, in real time. Choose the language, follow the text as it is generated and copy the result when it is done.
⏱️ Daily limit for this browser: 30 min of audio · ~30 min left today
Select or drag an audio or video file
MP3, WAV, M4A, OGG, MP4, MOV, WEBM… for video, the audio is extracted automatically
Transcript
The transcript will appear here.
Most searched transcriptions
Each task has its own page, with the step by step, tips and the limits of what it does.
By voice
Microphone
Speak into the microphone and watch the text appear.
By language
Transcribe with the language already chosen.
How does WebFaz transcription work?
The app turns speech from audio files, videos or the microphone into text, helping you record interviews, classes, meetings and notes.
1. Choose the language. Select the spoken language or automatic detection before you start. Also check the time left on the daily limit indicator.
2. Transcribe a file. On the “File” tab, select or drag an audio or video file. Transcription starts after you select it, and the text appears in the “Transcript” area as processing advances.
3. Use the microphone. On the “Real time” tab, tap the microphone button and allow access when the browser asks. Speak clearly and tap again to stop. Wait for pending segments to finish before copying the result.
4. Review and copy. Check names, numbers and words, especially in recordings with noise or overlapping voices. Use “Copy” to take the text to your editor and make adjustments. “Clear” erases the displayed text.
Connection and use. Transcription needs internet: the audio is sent for processing and is not stored by WebFaz. The available daily limit is shown in the app itself.
About Transcription
Turns audio into text: meetings, interviews, classes and voice messages, by uploading a file or speaking into the microphone.
What this transcription does
Turns speech into text in two ways, with no sign-up and no program to install. The features that stand out:
Real-time transcription from the microphone
Speak and watch the text appear. In this mode, the text does not timestamp the speech.
Audio and video files
Upload MP3, WAV, M4A, OGG, MP4, MOV, WEBM and more. For video, the audio is extracted automatically. Transcription starts as soon as you choose the file, so pick the language first.
Dozens of languages, with detection
Let the app detect the language or choose one. The Whisper model recognizes dozens of languages, including English.
Take the text to another app
Copy the result or use Send to… to take it to another WebFaz tool.
Transparent daily limit
The page shows how many minutes of audio you still have today in this browser (30 minutes per day), before you upload.
A practical example
You recorded a 40-minute meeting on your phone. You upload the audio file, choose the language and wait. The text appears with the conversation transcribed; you fix a proper name that came out wrong and download the result to write the minutes.
How to use it
- Upload the audio file or record with the microphone.
- Wait for the processing.
- Review the transcribed text.
- Copy or download the result.
Limits and cautions
- Noise, overlapping voices and strong accents can cause errors; always review.
- Very long files may exceed the service’s size limit.
A ferramenta em uma imagem
Os pontos de clique estão numerados. Toque na imagem para vê-la em tamanho original. As demais telas, passo a passo, estão no guia “Como funciona”.
- Point 1: Choose the spoken language or let it detect automatically.
- Point 2: File tab: transcribes a recorded audio or video (MP3, WAV, M4A, OGG, MP4, MOV, WEBM…).
- Point 3: Real time tab: transcribes what you say into the microphone, as you speak.
- Point 4: Choose file: the audio is sent to the speech recognition service (Groq/Whisper) only to generate the text. The daily limit appears above.
When to use it
- Turning recorded meetings, classes and interviews into searchable text.
- Converting long voice messages into text you can read at your own pace.
- Creating the basis for subtitles or a summary from an audio recording.
Tips
- Record in a quiet place with the microphone close to the speaker.
- Review proper names, acronyms and technical terms: they are the parts most prone to errors.
- Avoid uploading audio with confidential information, since the file is processed by an external service.
What happens in your browser
This is one of the few WebFaz tools that does not run entirely in the browser. A good-quality speech recognition model does not run well on ordinary phones and computers; that is why the audio is sent to the transcription service (Groq, with the Whisper Large-v3 model), which returns the text.
WebFaz does not store the audio, and the page warns you that the upload happens before you use it. To learn what is sent and how it is handled, read the Privacy Policy.
Accuracy depends on audio quality: a clean recording, a voice close to the microphone and little overlap of voices give much better results.
Read the full guide: real-world use cases, tips and limits →
Privacy: To work, the audio you upload or record with the microphone is sent to Groq (Whisper Large-v3). There is no 100% local mode: transcribing always requires sending the audio for processing. The file is not stored by WebFaz or by Groq beyond the time of the call. Learn more.
Perguntas frequentes
- Is the audio stored?
- It is sent to the AI service only to generate the transcript and is not stored by WebFaz.
- Which languages work?
- The Whisper model recognizes dozens of languages, including English.
- Why do errors appear?
- Noise, overlapping voices and strong accents get in the way. The transcript is a first draft: always review it.
- What is the maximum audio size?
- The service has a size limit. For very long files, split them into parts.
- Can I speak straight into the microphone?
- Yes, you can record with the microphone on the page itself.