Handles real audio
Calls, lectures, interviews, voice notes — all welcome.
Audio to text
Audio to text without extra screens
Upload Audio. Get text, speakers, timecodes, export.
or
Speakers labeled
Each line knows who spoke. Easy to follow a dialog.
Ready file, not raw text
Fix names and terms in the editor before exporting.
Several export formats
DOCX, TXT, SRT and VTT — no manual cleanup.
Built for people who work from recordings
Teams
Turn meeting recordings into notes and follow-up text.
Researchers
Review interviews with speakers, timestamps, and search.
Creators
Make transcript text for captions, posts, and show notes.
Students
Convert lectures and webinars into study material.
In depth
When the recording exists but there's no time to replay it
Your voice-memo folder grows faster than you can clear it. An hour-long interview, a stand-up captured on a phone, a lecture, a ten-minute voice note from a colleague — all of it sits unread, because turning audio into text by hand takes three times longer than the recording itself: listen, pause, rewind, type, rewind again. A reporter loses an evening over a single quote, an assistant retypes a meeting instead of acting on it, a student never gets through the notes before an exam. The speech isn't unclear — it's perfectly clear, but it stays locked inside a waveform where you can't search it, quote it, or forward the one part that matters.
How Vibe2Text turns sound into a working document
Upload a file from disk or paste a link — MP3, WAV, M4A, MP4 and more are supported, up to 4 GB. The service recognises the speech, separates each participant through diarisation, and adds timestamps so any fragment can be checked against the original. The result opens in an editor where the audio plays beside the text: hear a doubtful word, fix it in place, and give speakers real names instead of "Speaker 1". Export the transcript to DOCX, TXT, SRT, VTT or JSON. From the same text you can build a summary, pull out action items, ask the AI chat a question, or file the material into a knowledge base.
What helps you get a clean result the first time
The real enemy of recognition isn't the format — it's the recording conditions. Overlapping voices, heavy room echo, music under the speech and a mic buried in a pocket hurt far more than compression does. If you record yourself, keep the phone close to the speaker and off vibrating surfaces. Don't re-convert the file before uploading — every pass loses detail, so send the original as is. Once the transcript is ready, rename the speakers first and scan the proper nouns and terms: the model occasionally hears them its own way, and the play-along editor lets you fix that in seconds.
More workflows
Pick a recording type, format, or workflow.
Transcription questions
How do I turn audio into text online?
Drag a sound file into the upload area or paste a link to the recording. The service detects the speech, splits it by speaker and returns a transcript with timestamps. Open the editor, check proper nouns against the audio, and export the result in whatever format you need, from DOCX to subtitles.
Which audio formats are accepted?
Common containers and codecs load directly: MP3, WAV, M4A, OGG, AAC, FLAC, plus video like MP4 and WEBM, from which the audio track is taken. There's no need to convert anything first — send the original from a recorder, messenger or camera, up to 4 GB.
How accurate is it with speech?
The model is tuned for Russian first and handles live conversation, lectures and interviews confidently. Final quality depends most on the recording: a clean, close mic gives near-final text, while echo and overlapping voices need a pass in the editor, where the audio plays next to the transcript.
Can I try it for free?
Yes — the start is free and needs no card, so you can run a first recording and see how the text reads and how speakers are split. That lets you test the service on your own real file before thinking about regular use.
What can I do with the finished transcript?
Besides exporting to DOCX, TXT, SRT, VTT or JSON, the text produces a short summary and a task list, powers an AI chat over its content, and can be filed into a knowledge base. You can share a meeting or interview via a private link so colleagues read the text without passing the file around.
Will it separate several people speaking?
Yes, diarisation marks who speaks when and gives each participant a distinct track. After processing you replace the anonymous labels with real names, and an interview or stand-up reads like a tidy transcript rather than one continuous stream.
Vibe2Text
Upload once. Leave with usable text.
Upload audio or video while launch access is free. The start period has no duration cap.