Transcript generator

Generate a transcript from any audio or video file

Upload a recording and get an accurate, speaker-labeled, timestamped transcript in minutes. Works on any file, in 90+ languages, with a free preview before you pay. The first 10 minutes of any file are free, no credit card.

Generate a transcriptFirst 10 minutes free. No credit card.

See a generated transcript

A real transcript synced to its audio. Press play, or click any word to jump straight to that moment. Yours is generated the same way.

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

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What is a transcript generator?

A transcript generator turns spoken audio or video into written text automatically, so nobody has to type it out by hand. FileToText's is file-first: you upload your own recording, an interview, meeting, podcast, or lecture, and get back an accurate, speaker-labeled transcript you can read, search, edit, translate, and export. It detects the spoken language across 90+ languages and keeps everything private to your account.

It's for your files, not a YouTube link

Plenty of "transcript generators" are really YouTube tools that scrape a public caption track. This one works on the files you upload, which means it handles private recordings a URL tool never sees: client calls, research interviews, voice memos, and internal meetings. To transcribe a YouTube video, download it first, then upload the file.

How it works

1. Upload your file

Drop in any audio or video file, MP3, WAV, M4A, MP4, MOV and most others. Audio is pulled out of a video automatically, so there's no separate step.

2. It generates the transcript

In minutes you get speaker-labeled, timestamped text synced to the audio, with a per-word confidence view flagging anything worth a second listen.

3. Edit, translate, export

Rename speakers, hide filler words, add an AI summary, translate into 90+ languages, then export as TXT, DOCX, SRT, or WebVTT, or share a read-only link.

Generate a transcript for

Same tool, tuned guidance per kind of recording.

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Transcript generator FAQ

Updated July 2026
Upload any audio or video file and FileToText generates a speaker-labeled, timestamped transcript in minutes, with no software to install. It works on MP3, WAV, M4A, MP4, MOV and most other formats, extracting the audio from video automatically. The first 10 minutes of any file are free on a free account; after that it is $3 per audio hour, billed per started hour, up to 20 hours per file. Accuracy is 95%+ on clear audio, and the per-word confidence view flags anything worth checking. Once it is generated you can edit the text, rename speakers, remove filler words, add an AI summary, and translate into 90+ languages, then export as TXT, DOCX, SRT, or WebVTT, or share a read-only link.
A transcript generator turns spoken audio or video into written text automatically, without anyone typing it out by hand. FileToText's is file-first: you upload your own recording, an interview, meeting, podcast, or lecture, and get back an accurate, speaker-labeled transcript you can read, search, edit, and export. It detects the spoken language across 90+ languages and keeps everything private to your account.
FileToText works on files you upload, not on a YouTube page link. To transcribe a YouTube video, download it first (or export the audio), then upload that file here and it will generate the transcript. For your own recordings, meetings, calls, and voice memos, you upload directly.
95%+ on clear audio. Background noise, strong accents, and people talking over each other bring that down, which is true of every automatic system. The per-word confidence view shades the words the model was least sure about, so you know exactly which lines to double-check before you rely on the transcript. See the live monthly benchmark →
Read it against the synced audio, edit any word, rename or reassign speakers, hide filler words, generate an AI summary, and translate it into 90+ languages. Export as TXT, DOCX, SRT, or WebVTT, or share a read-only link, whatever the next step needs.