Transskriber WhatsApp-stemmebeskeder til tekst.OPUS og OGG accepteres.

WhatsApp-stemmebeskeder er kompakte OPUS-lydfiler. Eksportér beskeden, upload .opus- eller .ogg-filen direkte, og få en transskription på få sekunder. Ingen konvertering nødvendig.

Drop a file, or pick one

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.

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.

Common questions

7 things people ask about this.

01Hvordan eksporterer jeg en WhatsApp-stemmebesked som en fil?+
På iPhone: Tryk og hold stemmebeskeden nede, tryk Mere, tryk på stemmebeskeden, derefter Del – AirDrop til din Mac eller gem til Filer. På Android: Tryk og hold beskeden, tryk Mere, tryk på stemmebeskedikonet for at vælge den, derefter Del. Filen er i .opus-format.
02Hvilket format gemmer WhatsApp stemmebeskeder i?+
OPUS-lyd inde i en OGG-container (.opus eller .ogg filtypenavn). Telegram og Signal bruger også det samme format. Alle accepteres direkte uden konvertering.
03Skal jeg konvertere OPUS-filen til MP3 først?+
Nej. Upload .opus- eller .ogg-filen direkte. OPUS afkodes naturligt – konvertering til MP3 først tilføjer et trin og kan let reducere kvaliteten.
04Hvilken præcision kan jeg forvente fra en WhatsApp-stemmebesked?+
90%+ på en klar stemmebesked optaget indendørs med en enkelt taler ved normalt volumen. 82%+ på udendørs optagelser eller støjende miljøer. WhatsApps 16 kHz OPUS-kodning er optimeret til tale – den transskriberes bedre end dens filstørrelse antyder.
05Kan jeg også transskribere Telegram- eller Signal-stemmebeskeder?+
Ja. Telegram-stemmebeskeder er også OPUS/OGG-format og uploades direkte. Signal-stemmebeskeder er de samme. Eksportér fra begge apps og upload .ogg-filen.
06Hvad er den maksimale stemmebeskedlængde?+
WhatsApp begrænser stemmebeskeder til cirka 15 minutter pr. besked. Vores Gratis-plan accepterer op til 30 minutter pr. fil, så alle standard WhatsApp-stemmebeskeder passer inden for Gratis-niveauet.
07Virker det for stemmebeskeder på portugisisk, spansk, arabisk og andre sprog?+
Ja – 100+ sprog, auto-detekteret. WhatsApp er den dominerende beskedplatform i Brasilien, Spanien, Latinamerika, Indien og den arabiske verden – alle er godt dækket. Portugisisk (brasiliansk og europæisk), spansk, arabisk, hindi og 96 andre sprog fungerer uden manuel sprogvalg.

Drop something in. See what comes out.

30 gratis minutter om måneden, intet kort. Eksportér stemmebeskeden, slip .opus-filen ind – transskription på cirka 10 sekunder.

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