👤 3,282 total uses◯ Free: 5 uses/day • Resets in 23h 2m

Trascrittore Audio

Trasforma l'audio in testo accurato e leggibile. Carica MP3, WAV, M4A, WebM, OGG, FLAC o MP4 (fino a 25 MB) — con tecnologia OpenAI Whisper. Rilevamento automatico della lingua in oltre 50 lingue; supporta riunioni, interviste, podcast, lezioni e note vocali.

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Audio Transcriber turns spoken-word recordings into clean, readable text using OpenAI Whisper. Upload a meeting, interview, podcast, lecture, or voice memo in MP3, WAV, M4A, WebM, OGG, FLAC, or MP4 format and get an accurate transcript you can copy or download. Language is detected automatically across dozens of languages, making it ideal for journalists, students, podcasters, and anyone who needs a fast written record of audio.

Rilascia qui il tuo file audio
o fai clic per sfogliare — MP3, WAV, M4A, WebM, OGG, FLAC, MP4 fino a 25 MB
Recommended for long inputs (>60s). You'll get a link as soon as it's ready.
Liberi professionisti

Memo vocale di 30 secondi

Nota vocale veloce → testo ricercabile per uso personale.

Mostra anteprima di input e output

Input

file
voice-memo-2026-05-14.m4a (28s)
language
en
speaker_labels
no
timestamps
no

Output (estratto)

Ok, quindi la chiamata del cliente di domani — devo recuperare il report Q2, il nuovo mock del tier di pricing da Figma, e verificare se il webhook di Stripe ha effettivamente inviato la richiesta di prova. Inoltre, non dimenticare di inviare a Maria la checklist SOC2 prima delle 9:00 — ha detto che è bloccata sul questionario del fornitore.
Marketer

Clip podcast con timestamp

Estratto di podcast → trascrizione citabile per newsletter o blog.

Mostra anteprima di input e output

Input

file
lex-friedman-altman-clip.mp3 (4m 12s)
language
en
speaker_labels
yes
timestamps
yes

Output (estratto)

[00:00] HOST: …quindi quando parli di 'AGI', quale definizione stai usando quest'anno?
[00:09] GUEST: Un sistema che può svolgere la maggior parte del lavoro conoscitivo così come un professionista competente, end-to-end, includendo le parti che richiedono gusto e giudizio.
[00:24] HOST: È una definizione davvero stretta rispetto a due anni fa.
[00:30] GUEST: Giusto. Due anni fa avrei detto qualcosa di più sulla generalità. Ora penso che il test commerciale e utile sia economico — riesci a dargli il lavoro?
[00:50] HOST: E a che punto siamo?
Piccole imprese

Riunione di team → azioni

Standup asincrono → lista di azioni assegnabili per l'intero team.

Mostra anteprima di input e output

Input

file
weekly-standup-2026-05-19.mp3 (18m)
language
en
speaker_labels
yes
timestamps
no
post_process
extract_action_items

Output (estratto)

Riepilogo: roadmap Q3 finalizzata; ricostruzione dell'analytics spostata ad agosto; assunzioni congelate fino alla chiusura della Serie A.

Azioni:
- Sara: Inviare la roadmap Q3 rivista agli investitori entro mer.
- Tomas: Analizzare la scelta del nuovo data warehouse per analytics (Snowflake vs ClickHouse) — documento entro il 26 maggio.
- Priya: Redigere la comunicazione di pausa assunzioni per #general entro fine giornata lunedì.
- Marcus: Confermare le date di lancio del portale Stripe con il team di fatturazione.
- Domanda aperta: Eliminiamo il flusso di referral v1 prima o dopo il rilancio del pricing?

Your Trascrittore Audio results will appear here

You'll get plain-text transcript or an inline audio player (depends on the tool).

Come usare Trascrittore Audio

  1. Click upload and select your audio file (MP3, WAV, M4A, WebM, OGG, FLAC, or MP4, up to 25 MB).
  2. Start the transcription and wait a few seconds while Whisper processes the audio.
  3. Review the returned transcript on screen.
  4. Copy the text or download it for use in your notes, captions, or documents.

Casi d'uso

1

Transcribe a recorded interview into quotable text for an article

2

Turn a lecture or webinar recording into study notes

3

Get a written record of a voice memo you dictated on your phone

4

Caption a podcast episode by transcribing the raw audio

5

Create a searchable text record of a customer call

Consigli per i migliori risultati

  • Record in a quiet space and keep the microphone close to the speaker for the cleanest transcript.
  • If a recording is longer than 25 MB, split it into shorter segments and transcribe each one.
  • Convert lossless formats to MP3 to fit more minutes under the size limit without hurting accuracy much.
  • Proofread names, jargon, and numbers, since these are the words most likely to need a small correction.

Domande frequenti

What does Audio Transcriber do?

It converts a spoken-audio file into written text. You upload a recording and it returns a transcript that keeps the original language, which you can then copy or download.

Which audio formats and file size can I upload?

It accepts MP3, WAV, M4A, WebM, OGG, FLAC, and MP4 files up to 25 MB. For longer recordings, trim or split the file so each part stays under the limit.

Do I need to choose the language first?

No. Whisper detects the spoken language automatically across dozens of languages, so you can upload without setting anything. The transcript comes back in the same language that was spoken.

How accurate is the transcription?

Accuracy is high for clear speech with little background noise. Heavy accents, crosstalk, music, or poor recording quality can introduce errors, so a quick proofread is worth it for important documents.

Can I use the transcripts commercially?

Yes. You own the transcript output and can use it in articles, captions, notes, or client work. Free covers 5 transcriptions per day with no signup; Pro is $19/month for higher volume.

What happens to my uploaded audio?

Your file is processed only to produce the transcript and is then discarded. We do not keep your recordings or use them to train models.

Does it add timestamps or speaker labels?

The output is a continuous text transcript focused on the spoken words. It does not split text by speaker; for clean results, upload audio with one clear primary speaker where possible.

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Non memorizziamo il tuo testo. L'elaborazione avviene in tempo reale e il tuo input viene scartato immediatamente dopo la generazione del risultato.

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Workflow correlato

Podcast → Tweet ThreadUpload a podcast audio file → transcribe → ship a 7-tweet thread + hashtag pack.Avvia workflow →

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