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將 MP3 轉錄為文字。說話者標籤，100 多種語言。

放入任何 MP3 檔案——從 32 kbps 的壓縮語音備忘錄到 320 kbps 的錄音室母帶——在約 90 秒內獲得帶有時間戳記和說話者標籤的文字稿。

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.

01支援哪些 MP3 位元率？+
支援從 32 kbps 到 320 kbps 的所有標準 MP3 位元率，包括固定位元率 (CBR) 和可變位元率 (VBR)。128 kbps 及以上時準確性最佳。低於 64 kbps 時，感知壓縮會開始影響詞彙準確性——建議對該品質的錄音進行手動審查校對。
02先將我的 MP3 轉換為 WAV 會提高準確性嗎？+
不會。將 MP3 轉換為 WAV 無法恢復在 MP3 編碼過程中遺失的音訊資訊。如果您有 WAV 或無損格式的原始錄音，直接使用該格式可以獲得略好的結果。但一個標準的 128 kbps 以上的 MP3 本身就是極佳的來源材料。
03MP3 檔案大小的上限是多少？+
免費方案：每個檔案最多 100 MB 和最長 30 分鐘（以先到者為準）。Pro 方案：每個檔案最多 2 GB 和最長 10 小時（約 8–9 小時，以 128 kbps 計算）。商業方案：每個檔案最多 5 GB 和最長 10 小時。對於多檔案彙編，將每個檔案作為獨立的 API 作業提交——Pro 方案最多可同時執行 20 個作業，商業方案最多可同時執行 50 個。
04我可以從 MP3 檔案獲取 SRT 檔案嗎？+
可以。直接從文字稿頁面匯出 SRT 或 VTT 檔案——對於重新上傳字幕到 YouTube、在影片剪輯中嵌入字幕或歸檔計時文字稿非常有用。時間戳記對應於原始 MP3 中的位置。
05轉錄一個 MP3 檔案需要多長時間？+
一個 60 分鐘的 MP3 檔案通常會在 60–120 秒內完成。長檔案會分段並平行處理——一個 4 小時的檔案不會花費 4 倍的時間。商業方案中的檔案會獲得優先處理。
06它適用於非英語的 MP3 檔案嗎？+
是的——支援 100 多種語言，並會從音訊的前 30 秒自動偵測。第一級語言（英語、西班牙語、德語、法語、葡萄牙語、義大利語、荷蘭語、波蘭語）在任何標準位元率的 MP3 上可達 95% 以上的準確性。第二級語言（俄語、日語、國語、韓語及其他 13 種語言）可提供生產級別的準確性。

Drop something in. See what comes out.

每月免費 30 分鐘，無需信用卡。放入任何 MP3 檔案——文字稿、說話者標籤和 SRT 檔案在約 90 秒內完成。

開始免費轉錄