AI Speech to Text uses automatic speech recognition to convert recorded speech into written text. AIMusicGen's audio-to-text tool can transcribe recordings, identify different speakers and add timestamps, helping you turn spoken content into a transcript without manually typing every word.

You can transcribe meetings, interviews, podcasts, lectures, training sessions, voice notes and other speech-focused recordings. Use the text as a starting point for meeting minutes, research notes, show notes, articles or captions. This page transcribes uploaded audio and saved songs, rather than recording live conversations.

Yes. AIMusicGen provides free credits, which you can use to try speech-to-text transcription whenever your balance covers the task. The credit cost is based on audio duration, and the page shows an estimate before you submit. Free credits do not mean unlimited transcription; check the current balance and displayed cost.

You can upload audio files in MP3, WAV, M4A, FLAC, OGG, AAC and audio WEBM formats, up to 250 MB per file. Direct video uploads are not currently supported: extract the audio from your video first, then upload it in a supported format. For large recordings, split the audio into smaller files before uploading.

Use automatic language detection or select English, Mandarin Chinese, Spanish, Hindi, Arabic, Portuguese, Russian, Japanese, French, German, Korean, Italian or Dutch. Speech to Text transcribes the words spoken in the recording; choosing a language guides recognition and does not translate the transcript into that language.

Yes. Enable Identify speakers to label different voices in interviews, meetings and group conversations. Let AI detect the speaker count or specify 2–6 speakers. If participants are already recorded on separate audio channels, use Separate audio channels instead. These two settings cannot be enabled together, and speaker labels should be checked when voices overlap.

Yes. Choose word-level or character-level timestamps, or disable them. The result view groups recognized text into readable segments, and TXT downloads include available timing and speaker labels. You can use this material to prepare captions in a subtitle editor; direct SRT and VTT downloads are not currently available.

Yes. Enable Include sound notes to request annotations for sounds such as laughter, applause or background music. These notes add context to the transcript, but they do not isolate audio tracks or generate sound effects, and not every sound will necessarily be recognized.

Accuracy depends on the recording's clarity, language, accent, microphone quality and background noise. Clear voices with limited overlap usually produce better results. Review names, numbers, specialist terms, punctuation and speaker labels against the original audio before relying on or publishing a transcript.

Processing time varies with the recording's length, file size, upload speed and current service load. Short, clear recordings generally take less time than longer files. Keep the page open while transcription runs; there is no single completion time that applies to every recording.

You can review and copy the transcript or download it as TXT, then edit names, wording and formatting in your preferred text editor. In-page text editing is not currently available. To transcribe again, adjust the language or other settings and submit the audio again; each new transcription uses credits.

Your audio is sent for processing to create the transcript, and saved transcription results can be revisited in your account history. History is not a guaranteed backup of uploaded source audio, so keep your own copy and download important transcripts. Check the current privacy policy and data-handling terms before uploading confidential or sensitive recordings.