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Depụta ozi olu WhatsApp na ederede.A na-anabata OPUS na OGG.

Ozi olu WhatsApp bụ faịlụ ọdiyo OPUS kọmpat. Wepụ ozi ahụ, bulite faịlụ .opus ma ọ bụ .ogg ozugbo, wee nweta ndepụta na sekọnd. Ọ dịghị mkpa ịtụgharị.

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.

01Olee otu m ga-esi bupụ ozi olu WhatsApp dị ka faịlụ?+
Na iPhone: pịa ma jide ozi olu ahụ, pịa More, pịa ndetu olu ahụ, wee Share — AirDrop na Mac gị ma ọ bụ chekwaa na Files. Na Android: pịa ma jide ozi ahụ, pịa More, pịa akara ndetu olu ahụ ka ịhọrọ ya, wee Share. Faịlụ ahụ bụ ụdị .opus.
02Ụdị ọdịdị ọdiyo ka WhatsApp na-echekwa ndetu olu?+
Ọdiyo OPUS n'ime ihe nchekwa OGG (ndọtị faịlụ .opus ma ọ bụ .ogg). Telegram na Signal na-ejikwa otu ụdị ahụ. A na-anabata ha niile ozugbo na-enweghị ntụgharị.
03Ọ dị m mkpa ịtụgharị faịlụ OPUS gaa MP3 mbụ?+
Mba. Bulite faịlụ .opus ma ọ bụ .ogg ozugbo. A na-edekọ OPUS n'ụzọ nwa — ịtụgharị gaa MP3 tupu oge eruo na-agbakwụnye nzọụkwụ ma nwee ike belata ntakịrị ịdịmma.
04Izi ezi ole ka m nwere ike ịtụ anya site na ndetu olu WhatsApp?+
90%+ na ndetu olu doro anya e dekọrọ n'ime ụlọ nwere otu onye na-ekwu okwu n'ogo nkịtị. 82%+ na ndekọ n'èzí ma ọ bụ gburugburu na-eme mkpọtụ. Usoro nzuzo OPUS 16 kHz WhatsApp bụ maka ikwu okwu — ọ na-edepụta nke ọma karịa ka nha faịlụ ya na-egosi.
05Enwere m ike ịdepụta ozi olu Telegram ma ọ bụ Signal kwa?+
Ee. Ozi olu Telegram bụkwa ụdị OPUS/OGG ma bulite ozugbo. Ndetu olu Signal bụ otu. Bupụ site na ngwa ọ bụla ma bulite faịlụ .ogg.
06Ogologo ndetu olu kachasị bụ ole?+
WhatsApp na-emachi ndetu olu na ihe dịka nkeji iri na ise kwa ozi. Atụmatụ Free anyị na-anata ruo nkeji iri atọ kwa faịlụ, yabụ ndetu olu WhatsApp ọkọlọtọ niile dabara n'ime ọkwa Free.
07Ọ na-arụ ọrụ maka ndetu olu n'asụsụ Portuguese, Spanish, Arabic, na asụsụ ndị ọzọ?+
Ee — asụsụ 100+, a chọpụtara na-akpaghị aka. WhatsApp bụ ikpo okwu ozi kachasị na Brazil, Spain, Latin America, India, na mba Arab — a na-ekpuchi ha niile nke ọma. Portuguese (Brazilian na European), Spanish, Arabic, Hindi, na asụsụ 96 ndị ọzọ na-arụ ọrụ na-enweghị nhọrọ asụsụ aka.

Drop something in. See what comes out.

Nkeji iri atọ free kwa ọnwa, enweghị kaadị. Bupụ ozi olu ahụ, wụnye faịlụ .opus — ndepụta n'ihe dịka sekọnd iri.

Malite ndepụta free