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Memo suara ke teks.iPhone, Android, mana-mana aplikasi.

Perakam telefon anda menyimpan nota sebagai M4A, MP3, atau WAV bergantung pada peranti. Kongsi fail ke tetingkap penyemak imbas, lepaskannya, dan dapatkan transkrip bermasa dalam kira-kira 90 saat.

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.

01Apakah format fail yang disimpan oleh perakam telefon saya?+
iPhone Voice Memos: M4A (AAC). Android (Google Pixel, Samsung): biasanya M4A atau AAC, kadangkala MP3. Windows Voice Recorder / Sound Recorder: M4A. Mac Voice Memos: M4A. Kesemua ini dimuat naik terus tanpa penukaran.
02Bagaimana cara mendapatkan memo suara dari telefon ke penyemak imbas?+
iPhone: buka Voice Memos, ketik rakaman, ketik Kongsi, dan AirDrop ke Mac atau simpan ke iCloud Files. Android: ketik Kongsi atau Eksport dalam aplikasi perakam dan hantar melalui e-mel atau storan awan. Mac/Windows: fail berada dalam folder yang diketahui — seret dari sana.
03Apakah tempoh maksimum memo suara?+
30 minit pada Free. Sehingga 10 jam setiap fail pada Pro dan Business. Kebanyakan memo suara telefon di bawah 30 minit, jadi Free meliputi majoriti kes penggunaan peribadi. Temu bual penyelidikan dan kuliah panjang yang melebihi 30 minit memerlukan pelan berbayar.
04Adakah label pembesar suara tersedia untuk memo suara dua orang?+
Ya, pada pelan Pro dan Business. Letakkan telefon pada jarak yang sama antara dua pembesar suara untuk pemisahan yang paling bersih. Saluran paip mengenal pasti dan melabel setiap suara — klik mana-mana label untuk menukar nama daripada 'Speaker 1' kepada nama sebenar orang itu.
05Bolehkah ia mentranskripsikan memo suara dalam bahasa selain Inggeris?+
Ya — 100+ bahasa, dikesan secara automatik. Perancis, Sepanyol, Jerman, Jepun, Portugis, Rusia, dan 95+ yang lain berfungsi. Untuk memo yang sangat pendek di mana pengesanan tidak pasti, anda boleh memaksa bahasa dalam tetapan lanjutan.
06Bolehkah saya mentranskripsikan memo suara daripada aplikasi pihak ketiga seperti Otter atau Rev?+
Jika aplikasi membenarkan anda mengeksport audio asal sebagai M4A, MP3, atau WAV, ya — muat naik fail itu. Kami tidak berhubung terus ke aplikasi rakaman pihak ketiga. Eksport audio dari aplikasi terlebih dahulu, kemudian muat naik.
07Bagaimana dengan memo suara dengan muzik latar atau bunyi ambien?+
Bunyi latar ringan (ambien kafe, trafik senyap) mengurangkan ketepatan kepada sekitar 85–88% tetapi masih boleh ditranskripsikan. Muzik berat pada kelantangan yang sama dengan pertuturan adalah kes sukar — ketepatan menurun dengan ketara pada bahagian tersebut.

Drop something in. See what comes out.

30 minit percuma setiap bulan, tiada kad. Kongsi rakaman dari telefon anda, lepaskannya — transkrip dalam kira-kira 90 saat.

Mulakan transkripsi percuma