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E kākau iā M4A mai nā poloka Apple.ʻAʻohe pono hoʻololi.

Mālama nā Voice Memos o ka iPhone i nā hoʻopaʻa leo ma ke ʻano M4A. E hoʻokuʻu pololei i ka faila — hoʻokuʻu ʻia ka leo AAC, kākau ʻia, a hoʻihoʻi ʻia ma ke ʻano he kākau i kapa ʻia me nā kaha kamaʻilio a me nā hōʻailona manawa ma kahi o 90 kekona.

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.

01Pehea wau e kiʻi ai i ka faila M4A mai kaʻu iPhone?+
I loko o nā Voice Memos, e kāomi i ka hoʻopaʻa leo, e kāomi i ka papa kuhikuhi kiko ʻekolu (…), a koho iā Share. AirDrop i kāu Mac, e mālama i nā Files (a laila e komo mai kahi polokalamu kele pūnaewele), a i ʻole e leka uila i ka mea pili iā ʻoe. Aia ka inoa faila i ka lā a me ka manawa o ka hoʻopaʻa leo a pau i ka .m4a.
02Pono anei wau e hoʻololi i ka M4A i MP3 ma mua?+
ʻAʻole. E hoʻouka pololei i ka faila .m4a. Hoʻokuʻu ʻia ka leo AAC me ka ʻole o ka hoʻololi. ʻO ka hoʻololi ʻana i MP3 ma mua e hoʻohui i kahi ʻanuʻu pono ʻole a hōʻemi paha i ka maikaʻi inā hoʻohana ʻoe i kahi bitrate haʻahaʻa.
03He aha ka nui faila M4A kiʻekiʻe loa?+
Free: 100 MB (nui ka nui no nā Voice Memos maʻamau, akā hoʻopaʻa ka Free i kēlā me kēia faila i 30 minuke). Pro: 2 GB a hiki i 10 hola no kēlā me kēia faila. Business: 5 GB a hiki i 10 hola no kēia faila. Kūpono nā Voice Memos lōʻihi o ka iPhone i loko o Pro.
04Loaʻa anei nā kaha kamaʻilio no nā faila M4A?+
ʻAe, ma nā hoʻolālā Pro a me Business. Loaʻa ka hoʻokaʻawale maikaʻi no nā mea kamaʻilio ʻelua i loko o kahi hoʻopaʻa leo iPhone — e kau i ke kelepona ma waena o nā mea kamaʻilio ʻelua no nā hopena maikaʻi loa. ʻO nā mea kamaʻilio ʻekolu a ʻoi aku paha e pōmaikaʻi mai kahi hana hoʻoponopono lima ma nā huli kahi e uhi ai nā leo.
05He aha ka pololei aʻu e manaʻo ai mai kahi hoʻopaʻa leo Voice Memos o ka iPhone?+
93%+ i loko o kahi hoʻonohonoho hale mālie ma ka lōʻihi kamaʻilio. ʻO nā hoʻopaʻa leo i waho, nā kūkākūkā pūʻulu, a i ʻole ke kelepona ma kahi mamao loa mai nā mea kamaʻilio e hāʻule ma kahi o 87–90%. Hoʻopau ka hana hoʻoponopono hoʻokahi me ka pāʻani ʻana o ka leo i nā hewa i koe.
06Hana anei ia no nā Voice Memos i hoʻopaʻa ʻia ma ka Mac?+
ʻAe. Hoʻopaʻa ʻia nā Voice Memos o ka Mac a me nā hoʻopaʻa leo QuickTime ma ke ʻano M4A a hoʻouka pololei. Hoʻohana pinepine nā hoʻopaʻa leo Mac i kahi microphone USB a i ʻole kahi kūlana microphone ʻoi aku ka maikaʻi, no laila ua like ka pololei me ka iPhone i loko o kahi lumi mālie.
07Hiki anei iaʻu ke kākau i kahi hoʻopuka GarageBand M4A?+
ʻAe, inā loaʻa ka ʻōlelo i ka M4A. Hoʻopuka nā hoʻopuka GarageBand i nā ala ʻōlelo i kākau ʻia ma ke ʻano M4A, a hoʻouka pololei kēia. Inā he mele wale nō ka hoʻopuka, ʻaʻole loaʻa ka hopena kūpono mai ke kākau ʻana.

Drop something in. See what comes out.

He 30 minuke manuahi i kēlā me kēia mahina, ʻaʻohe kāleka. E hoʻouka i kekahi Voice Memos M4A — kākau a me nā kaha kamaʻilio ma kahi o 90 kekona.

E hoʻomaka i ke kākau manuahi