Transkripsi MP3 ke teks.Label pembicara, 100+ bahasa.

Seret MP3 apa pun — catatan suara terkompresi 32 kbps atau master studio 320 kbps — dan dapatkan transkrip dengan stempel waktu dan label pembicara dalam waktu sekitar 90 detik.

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

6 things people ask about this.

01Bitrate MP3 apa yang didukung?+
Semua bitrate MP3 standar dari 32 kbps hingga 320 kbps, baik constant bitrate (CBR) maupun variable bitrate (VBR). Akurasi terbaik pada 128 kbps ke atas. Di bawah 64 kbps, kompresi perseptual mulai memengaruhi akurasi kata — rencanakan tinjauan manual untuk rekaman pada kualitas tersebut.
02Apakah mengonversi MP3 ke WAV terlebih dahulu meningkatkan akurasi?+
Tidak. Mengonversi MP3 ke WAV tidak memulihkan informasi audio yang hilang selama enkode MP3. Jika Anda memiliki rekaman asli dalam WAV atau format lossless, gunakan itu langsung untuk hasil yang sedikit lebih baik. Tapi MP3 standar pada 128 kbps+ sudah merupakan materi sumber yang sangat baik.
03Berapa ukuran file MP3 maksimum?+
Gratis: 100 MB dan hingga 30 menit per file (mana yang lebih dulu). Pro: 2 GB dan hingga 10 jam per file (sekitar 8–9 jam pada 128 kbps). Bisnis: 5 GB dan hingga 10 jam per file. Untuk arsip multi-file, kirim setiap file sebagai pekerjaan API terpisah — Pro menjalankan hingga 20 pekerjaan bersamaan, Bisnis hingga 50.
04Bisakah saya mendapatkan file SRT dari MP3?+
Ya. Ekspor SRT atau VTT langsung dari halaman transkrip — berguna untuk mengunggah ulang takarir ke YouTube, menyematkan subtitle dalam suntingan video, atau mengarsipkan transkrip berwaktu. Stempel waktu selaras dengan posisi dalam MP3 asli.
05Berapa lama waktu yang dibutuhkan untuk mentranskripsi MP3?+
MP3 60 menit biasanya selesai dalam 60–120 detik. File panjang dipecah dan diproses secara paralel — file 4 jam tidak memakan waktu 4× lebih lama. File paket Bisnis menerima pemrosesan prioritas.
06Apakah ini berfungsi untuk MP3 non-Inggris?+
Ya — 100+ bahasa, terdeteksi otomatis dari 30 detik pertama audio. Bahasa tingkat 1 (Inggris, Spanyol, Jerman, Prancis, Portugis, Italia, Belanda, Polandia) memberikan akurasi 95%+ pada bitrate MP3 standar apa pun. Tingkat 2 (Rusia, Jepang, Mandarin, Korea, dan 13 lainnya) memberikan akurasi kelas produksi.

Drop something in. See what comes out.

30 menit gratis per bulan, tanpa kartu. Seret MP3 apa pun — transkrip, label pembicara, dan SRT dalam waktu sekitar 90 detik.

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