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Transcribe MP4 video to text.Audio extracted automatically.

Upload the MP4 as-is. The audio track is extracted server-side, transcribed, and returned as a timestamped speaker-labelled transcript plus SRT captions ready to re-upload.

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.

01Do I need to extract the audio from the MP4 before uploading?+
No. Upload the MP4 directly. The audio is extracted server-side as part of the transcription pipeline. Converting to MP3 first adds a step and can reduce audio quality if you use a low bitrate.
02What video formats are supported?+
MP4, MKV, MOV, AVI, and WebM are all accepted. Any video container with a standard audio codec (AAC, MP3, AC-3, Opus, PCM) works. If your format is not listed, try uploading — most standard video files work.
03Will the transcript timestamps match the video?+
Yes. Timestamps anchor to the exact position in the file you uploaded, including any intro, title card, or silence at the start. If you want transcription to begin at a specific point, trim the video first — but most users don't need to.
04Can I get SRT captions from an MP4?+
Yes. Export SRT or VTT directly from the transcript page and upload as captions on YouTube, Vimeo, or import into your video editor. The timestamps align to the original video positions.
05What's the maximum MP4 file size?+
Free: 100 MB (about 10–15 minutes of 1080p), capped at 30 minutes per file. Pro: 2 GB (about 60–90 minutes of 1080p, more at lower bitrate), up to 10 hours per file. Business: 5 GB (several hours of 1080p), up to 10 hours per file. For long high-bitrate exports, the Business plan combines higher size cap with priority queue.
06Can I transcribe a Zoom recording in MP4 format?+
Yes. Download the Zoom recording as MP4 from your Zoom account (cloud or local recording), then upload it here. Diarization separates the host and participant audio. Expect 95%+ on the local-recorded host side, 88–92% on remote participant audio.

Drop something in. See what comes out.

30 free minutes per month, no card. Upload any MP4 — transcript, speaker labels, and SRT in about 90 seconds.

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