Trascrivi i messaggi vocali WhatsApp in testo.Accettati OPUS e OGG.

I messaggi vocali WhatsApp sono file audio OPUS compatti. Esporta il messaggio, carica direttamente il file .opus o .ogg e ottieni una trascrizione in pochi secondi. Nessuna conversione necessaria.

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MP3 · WAV · M4A · MP4 · MOV · MKV · OGG · OPUS · FLAC · WEBM — up to 100 MB anonymously

Paste a link, we’ll fetch the audio

YouTube · TikTok · Vimeo · Twitter · SoundCloud · Spotify · 50+ more

Record straight from your browser

Sign up takes 30 seconds — recording opens right after, in the dashboard.

No card required~90s per 60-min fileSRT · VTT · DOCX · TXTFiles auto-deleted in 24h

↓ Watch what happens

Audio in. Transcript out.

Drop a file, paste a URL, or record live — text appears back with speaker labels and timestamps. Same pipeline whether the source is a file, a URL, or your microphone.

Microphone · liveREC 00:07.41

en-US auto-detected16 kHz mono

~90s

Transcript · streaming2 speakers · 47:08

S1

Thanks for making the time. I want to start with framing — what was the original hypothesis behind the project?

S2

Honestly, maybe forty percent. The shape held — the mechanics underneath had to be rebuilt almost entirely.

S1

What flipped it for you? Was there one customer call, one piece of data

~95% accuracy on clean audioSRT · DOCX · TXT · JSON

↓ This is the dashboard

This is what loads when the job finishes.

Same layout as the real dashboard — Summary, full Transcript, Speakers tab, Exports. Key points and action items extracted automatically. Auto-tags on every job.

app.transcription.solutions / interview-202.mp3Export

Summary 5Transcript 1,420Speakers 2Exports

interview-202.mp347:08128 kbps CBR2 speakersen-US auto-detected

Founders need post-call content, not just transcripts. Tools force them to stitch 5 apps together.

Sample preview from a founder interview about post-call workflow. Real transcripts look exactly like this — same tabs, same summary block, same key-points / action-items split, same auto-tag chips.

Key points

Gap exists between raw recordings and shippable content — tools stop at transcript.

Show notes, social clips, blog drafts all expected by call's end, not next-day.

Current tooling fragmented across 5 apps — no single pipeline.

Conversion-rate signal flipped a buyer-segment assumption at week 3.

40% of original hypothesis survived — the shape held, mechanics rebuilt.

Action items

Speaker 1Investigate single-pipeline approach to replace 5-app stitch.

Speaker 2Mock how show-notes draft could flow from the transcript.

Speaker 2Pull conversion-rate by segment, Monday EOD.

Speaker 1Map the 5-app stitch & list which steps actually need a human.

Auto-taggedfounder interviewpost-call contenttooling fragmentationsingle pipeline

Try it on your own file — it's free

Three real options · honest comparison

Built-in dictation, AI speech-to-text, or a human transcriber.

Three legitimate ways to get text from spoken audio in 2026. Each is best for different work. Honest numbers below — no claim that AI matches a professional human transcriber on hard audio.

Option 01

Built-in dictation

Live, free, on-device. Handy for short bursts while you talk.

Accuracy · clear English~85%

Speaker separationNo

TimestampsNo

Languages~30

60-min fileLive only

CostFree

Best forShort voice notes while you walk. Hands-free messaging. Dictating an email at a stoplight.

Option 02

AI speech-to-text

~30× faster than realtime. 100+ languages. Speaker labels. The sweet spot for most work.

Accuracy · clear English95%+

Speaker separationYes (Pro+)

TimestampsPer sentence

Languages100+ auto

60-min file~90 s

Cost · per min$0.03

Best forInterview recordings · meeting notes · podcast transcripts · YouTube subtitles · batch jobs · API automation · field journalism.

Option 03

Human transcriber

Gold-standard accuracy when the audio is hard or the stakes are legal.

Accuracy · clear English98–99%

Speaker separationManual

TimestampsPer turn

LanguagesPer transcriber

60-min file4–8 hours

Cost · per min$1–3

Best forLegal depositions · medical dictation · archival oral history · anything where 95%+ accuracy is non-negotiable.

Built-in dictation figures from public iOS / Android speech API benchmarks. Human transcriber rates from US/UK industry surveys 2024–2025.

Accuracy · real-world numbers

95%+ on clear English. It holds up on real-world recordings too.

Modern transcription reaches 95%+ word accuracy on clear English at 128 kbps and above, comparable to a human transcriber on the same recording. The audio coming in sets the ceiling — cleaner source, cleaner transcript. The breakdown below covers the recordings we actually see in production.

97^%+

Clean studio audio

USB or studio microphone in a treated room. Single speaker at conversational distance. The headline number.

95^%+

Clear English at 128 kbps+

Podcast masters, interview recordings, well-mic'd meetings. The sweet spot for most professional work.

93^%

Real-world podcast

Field-recorded interviews, podcast episodes at 64–128 kbps, multi-speaker recordings. Usable for editorial without a review pass.

91^%

Meeting room recording

Ceiling mic, omnidirectional capture, mild reverb, multiple speakers at distance. Plan a rename pass on the speaker chips.

What affects accuracy

The model isn't the bottleneck — the audio is.

01

Microphone distance and quality

USB or lavalier mic at 30 cm vs phone in pocket at 3 m: 10-point accuracy swing. The mic captures or it doesn't.

02

Background noise

Café chatter, AC hum, traffic, room reverb. The model filters some but can't recover frequencies the mic masked entirely.

03

Accent and speech rate

Strong regional accents, fast speech, code-switching — all drop accuracy 2–4% vs neutral English. Still usable, but plan a review pass.

04

Codec and bitrate

Lossless WAV at 16 kHz+ beats MP3 by 1–2%. Below 64 kbps MP3, perceptual compression starts eating word accuracy noticeably.

05

Speaker overlap

Two people talking simultaneously is the hardest case. Diarization labels both turns but the words inside the overlap may be wrong.

Common questions

7 things people ask about this.

01Come esporto un messaggio vocale WhatsApp come file?+

Su iPhone: tieni premuto il messaggio vocale, tocca Altro, tocca la nota vocale, quindi Condividi — AirDrop al tuo Mac o salva su File. Su Android: tieni premuto il messaggio, tocca Altro, tocca l'icona della nota vocale per selezionarla, quindi Condividi. Il file è in formato .opus.

02In quale formato vengono salvate le note vocali WhatsApp?+

Audio OPUS all'interno di un contenitore OGG (estensione file .opus o .ogg). Anche Telegram e Signal utilizzano lo stesso formato. Tutti sono accettati direttamente senza conversione.

03Devo convertire il file OPUS in MP3 prima?+

No. Carica direttamente il file .opus o .ogg. L'OPUS viene decodificato nativamente — convertire prima in MP3 aggiunge un passaggio e può ridurre leggermente la qualità.

04Quale accuratezza posso aspettarmi da una nota vocale WhatsApp?+

90%+ su una nota vocale chiara registrata in interni con un singolo parlante a volume normale. 82%+ su registrazioni all'aperto o ambienti rumorosi. La codifica OPUS a 16 kHz di WhatsApp è ottimizzata per il parlato — trascrive meglio di quanto la dimensione del file suggerisca.

05Posso trascrivere anche messaggi vocali Telegram o Signal?+

Sì. Anche i messaggi vocali Telegram sono in formato OPUS/OGG e vengono caricati direttamente. Le note vocali Signal sono le stesse. Esporta da una delle due app e carica il file .ogg.

06Qual è la lunghezza massima di una nota vocale?+

WhatsApp limita le note vocali a circa 15 minuti per messaggio. Il nostro piano Free accetta fino a 30 minuti per file, quindi tutte le note vocali WhatsApp standard rientrano nel livello gratuito.

07Funziona per note vocali in portoghese, spagnolo, arabo e altre lingue?+

Sì — 100+ lingue, rilevamento automatico. WhatsApp è la piattaforma di messaggistica dominante in Brasile, Spagna, America Latina, India e mondo arabo — tutte sono ben coperte. Portoghese (brasiliano ed europeo), spagnolo, arabo, hindi e altre 96 lingue funzionano senza selezione manuale della lingua.

Drop something in. See what comes out.

30 minuti gratuiti al mese, senza carta. Esporta il messaggio vocale, trascina il file .opus — trascrizione in circa 10 secondi.

Inizia la trascrizione gratuita