Umseta MP3 til tekst.Talaraheitir, 100+ mál.

Drop einhvønn MP3 — 32 kbps komprimerað røddnota ella 320 kbps studio master — og fá eitt tíðarmerkt avrit við talaraheitum umleið 90 sekundir.

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.

01Hvørjar MP3 bitrater eru stuðlaðar?+
Allar standard MP3 bitrater frá 32 kbps til 320 kbps, bæði fastur bitrate (CBR) og várlendur bitrate (VBR). Nágreinileikin er bestur við 128 kbps og hægri. Niðanfyri 64 kbps byrjar ålagskompressión at ávirka orðanágreinileikan — planlegg eina hondlaga umritan fyri upptøkur á hesum góðskustøði.
02Betrar tað um at leggja MP3 mítt um til WAV fyrst nágreinileikan?+
Nei. At umvanda eitt MP3 til WAV endurvinnur ikki ljóðupplýsingar sum vóru taptar undir MP3 kodanini. Hevur tú upprunaupptókuna í WAV ella einum tómlætisformati, brúk tað beinleiðis fyri eitt sindur betri úrslit. Men eitt standard MP3 við 128 kbps+ er framvegis ein framúrskarandi keldumaterial.
03Hvat er størsta MP3 fílustøddin?+
Frítt: 100 MB og upp til 30 minuttir per fílu (tað sum kemur fyrst). Pro: 2 GB og upp til 10 tímar per fílu (umleið 8–9 tímar við 128 kbps). Business: 5 GB og upp til 10 tímar per fílu. Fyri fleirfílu arkiv, send hvørja fílu sum eitt særskilt API verk — Pro koyrir upp til 20 samhiða verk, Business upp til 50.
04Kann eg fáa eina SRT fílu frá einum MP3?+
Ja. Útflut SHRT ella VTT beinleiðis frá avritssíðuni — nýtiligt fyri at leggja tekstingar aftur til YouTube, innbyggja undirtekstar í videoritgerð ella goyma tíðarmerkt avrit. Tíðarstemplini passa til støð í upprunaliga MP3.
05Hvussu langa tíð tekur tað at umseta eitt MP3?+
Ein 60 minuttir MP3 er vanliga liðug innan 60–120 sekundir. Langar fílur verða kloyvda og viðgjørdar samhiða — ein 4 tíma fíla tekur ikki 4× longri tíð. Business ætlan fílur fáa prioritetsviðgerð.
06Virkar tað fyri ikki-enskt MP3?+
Ja — 100+ mál, sjálvvirkandi funnin frá fyrstu 30 sekundunum av ljóðinum. Støð 1 mál (enskt, spanskt, týskt, franskt, portogisiskt, italskt, hollendskt, pólskt) lata 95%+ nágreinileika á øllum standard-bitrate MP3. Støð 2 (russiskt, japanskt, mandarin, koreanskt og 13 onnur) lata yrkisnágreinileika.

Drop something in. See what comes out.

30 fríar minuttir um mánaðin, einki kort. Drop einhvønn MP3 — avrit, talaraheitir og SHRT umleið 90 sekundir.

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