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Depụta faịlụ WAV na aha ndị na-ekwu okwu.Ịdị mma na-enweghị mfu.

Faịlụ WAV sitere na igwe ndekọ mpaghara, nnọkọ studio, na ebe nchekwa mgbasa ozi na-enweta izizi ederede kachasị elu — enweghị mkpakọ codec iji gbanwee. Wụnye WAV ọ bụla wee nweta ederede zuru ezu nwere aha ndị na-ekwu okwu.

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.

01Kedu nkọwa WAV na-akwado?+
Faịlụ WAV PCM ọ bụla: ọnụego nlele site na 8 kHz ruo 192 kHz, miri omimi bit nke 16-bit, 24-bit, ma ọ bụ 32-bit float, ọwa mono ma ọ bụ stereo. Ma ndọtị WAV ọkọlọtọ (.wav) na Broadcast Wave Format (.bwf) na-arụ ọrụ na-enweghị ntụgharị.
02Ọ̀ bụ na WAV na-enweghị mfu na-eme ka izizi ntụgharị asụsụ dịkwuo mma n'ezie?+
Ee, ntakịrị. WAV na-enye pipeline ntụgharị asụsụ akara ọdịyo zuru oke na-enweghị ihe mkpakọ nghọta. Na ọtụtụ ndekọ, mmelite karịa MP3 dị elu bụ 1–3%. Na ndekọ siri ike (olu siri ike, mkpọtụ ndabere dị nro, ịdị mma ọdịyo dị n'ókè), oke ahụ dị mkpa.
03Igwe ndekọ mpaghara m na-echekwa 24-bit WAV na 96 kHz. Ọ ga-arụ ọrụ?+
Ee. A na-anabata 24-bit 96 kHz WAV ma na-arụ ọrụ na-enweghị ntụgharị ọ bụla. Pipeline na-emeziwanye ọnụego nlele n'ime ya — 96 kHz anaghị egbu oge nhazi ma ọ bụ kpata nsogbu ndakọrịta.
04Kedu ogo faịlụ WAV kachasị?+
Free: 100 MB (ihe dịka nkeji 10 nke 16-bit 44.1 kHz stereo, ~ nkeji 20 mono), njedebe nkeji 30 kwa faịlụ. Pro: 2 GB (ihe dịka nkeji 45 stereo, ~ nkeji 90 mono), ruo awa 10 kwa faịlụ n'ogologo. Business: 5 GB (ihe dịka awa 3 stereo, ~ awa 6 mono), ruo awa 10 kwa faịlụ. WAV nwere oke ogo karịa oke ogologo. Maka ebe nchekwa faịlụ ọtụtụ, tinye faịlụ ọ bụla dịka ọrụ API dị iche.
05Enwere m ike ịnweta SRT site na faịlụ WAV?+
Ee. Bupụ SRT ma ọ bụ VTT site na ibe ederede. Oge na-adaba na ọnọdụ WAV — bara uru ma ọ bụrụ na ị na-edozi vidiyo n'akụkụ WAV a dị ka egwu ọdịyo.
06WAV ọ ka mma karịa MP3 maka ntụgharị asụsụ?+
N'ọnọdụ ndekọ nhata, WAV na-enye izizi 1–3% karịa MP3 128 kbps — yana nke a na-ahụ anya karịa 64 kbps ma ọ bụ ala. Ọ bụrụ na ị nwere ndekọ mbụ dịka WAV, jiri ya. Ọ bụrụ na ị nwere naanị MP3, MP3 ahụ ka ga-atụgharị na 95%+ na okwu doro anya.

Drop something in. See what comes out.

Nkeji 30 free kwa ọnwa, enweghị kaadị. Wụnye WAV gị — ederede, aha ndị na-ekwu okwu, na SRT n'ihe dịka nkeji 90.

Malite ntụgharị asụsụ free