Meeting transcription

Meeting transcription that knows who said what

Upload the recording and get a clean, speaker-labeled, timestamped transcript plus an AI recap in minutes. Sharper than the built-in auto-transcript, and it's yours to keep. The first 10 minutes of any file are free.

Transcribe your meetingFirst 10 minutes free. No credit card.

Three people, cleanly separated

A real meeting transcript synced to its audio. Press play, or click any word to jump there. Notice each speaker is labeled: rename them once and it sticks everywhere.

Sample preview
play it · click any word to jump

Alex (Lead):All right, quick stand up. Let's keep it tight. Sarah, where are we on the launch checklist?

Sarah (PM):Almost there. The last blocker is the payment flow, and Tom said he'd have a fix in this morning.

Tom (Dev):Yeah, it is basically done. I am testing the edge cases now. Should be merged before lunch.

Alex (Lead):Perfect. So if that lands, are we good to ship Thursday?

Sarah (PM):I think so. Let's decide for real at the end of day check-in once the fix is in.

Tom (Dev):Works for me

0:00
0:27

A record and a recap, not a wall of text

The speaker-labeled transcript is the searchable record; the AI recap is the skim. Together they replace the note-taker who was only half listening because they were typing.

Who said what, plus a recap
Speaker-labeled transcript
  • 00:00 · Alex (Lead)Quick standup, let's keep it tight. Sarah, where are we on the launch checklist?
  • 00:06 · Sarah (PM)Almost there. The last blocker is the payment flow; Tom has a fix landing this morning.
  • 00:13 · Tom (Dev)Basically done, testing edge cases now, merged before lunch.

Rename each speaker once. Timestamps mean you can jump to any decision.

AI recap

The team ran a short launch standup. The one open blocker is the payment flow, with a fix in testing and expected to merge before lunch. If it lands, a Thursday ship is on the table, to be confirmed at the end-of-day check-in.

A prose summary you skim for decisions and lift the action items from.

Get the recording out of your call tool

Then upload it here for a cleaner pass than the platform's own transcript.

Where was the meeting?

Pick your tool for the exact steps.

  1. 1Cloud recording: sign in at the Zoom web portal, open Recordings, find the meeting, and download the audio-only M4A.
  2. 2Local recording: it's already in your Zoom folder on your computer.
  3. 3Upload it here, no conversion needed.

Tip: Zoom's own transcript is fine for a skim; a fresh pass here reads cleaner and separates speakers better.

Meeting-specific things worth knowing

What decides whether your meeting transcript is any good.

More speakers is harder, so set the count

Two or three people separate cleanly. A big all-hands with many similar voices is genuinely tougher, so set the speaker count at upload and expect to fix a few labels where people talk over each other. Decent mics and clear turn-taking beat any setting.

A fresh pass beats the built-in transcript

The auto-transcripts in Zoom, Teams, and Meet are convenient but rough, and they vanish when someone leaves the workspace. Uploading the recording gives you cleaner text, better speaker separation, an editor, and a file you actually own. If your call was one-on-one, the interview page covers quote-level verification.

Remote participants on a bad line cost a little

Someone on a compressed or dropping connection transcribes a bit worse than a good mic in the room. The per-word confidence view flags the shakier words so you know which lines to double-check before you share the notes.

Meeting transcription FAQ

Updated July 2026
Download the recording from Zoom, Teams, or Google Meet, then upload it here (the audio-only file or the full video, we pull the audio out either way). FileToText returns a speaker-labeled, timestamped transcript plus an AI recap in minutes, usually sharper than the platform's built-in transcript and yours to keep. The first 10 minutes are free; after that it is $3 per audio hour, billed per started hour. Two or three people separate cleanly; for a large all-hands, set the speaker count at upload and expect to fix a few labels where people talk over each other. Accuracy is 95%+ on clear audio, and the per-word confidence view flags shaky words from anyone on a bad connection. Export as TXT, DOCX, SRT, or WebVTT, or share a read-only link. See the live monthly benchmark →
The built-in auto-transcripts are convenient but rough: weaker accuracy, thin speaker labels, and no editor to fix them. Uploading the recording for a fresh pass usually gives cleaner text, better speaker separation, and a synced player so you can jump to any moment. You keep the file and the transcript, instead of losing them when someone leaves the workspace.
As many as are in the room, though a big meeting is harder than a two-person call: several similar voices are genuinely tougher to tell apart. Set the speaker count at upload to help, rename everyone once, and expect to fix a few labels where people talk over each other. Clear turn-taking and decent mics matter more than any setting.
The transcript is speaker-labeled and timestamped, so who-said-what and when is all there. The AI summary gives you a clean prose recap of the meeting you can skim for decisions and next steps. It reads like notes, not a bullet list of tasks, so you lift the action items from the recap rather than getting them auto-extracted.
A participant on a compressed or dropping call will transcribe a little worse than someone on a good mic in the room. That is the audio, not the model. The per-word confidence view flags the shakier words so you know which lines to double-check, and you fix them in the editor before you share.

Start transcribing here