Any speech source
Recorder, call, lecture, interview, video — all welcome.
Speech to text
Speech to text without extra screens
Upload Speech. Get text, speakers, timecodes, export.
or
Tuned for Russian
Strong on Russian speech, new terms and slang.
Speakers split
Dialogs labeled by who is speaking.
Ready text
Not raw stenography — paragraphs with punctuation.
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
Spoken words vanish faster than anyone can write them down
A thought said aloud lives for seconds. A manager dictates tasks on the move, an expert answers questions without notes, a doctor comments on a visit, a researcher records an observation in the field — and all of it is valuable only while it sounds. Capturing it on a recorder is easy; getting the words back as searchable, workable text is usually nobody's job. A secretary can't keep pace with a live conversation, stenographers have all but disappeared, and typing it yourself means hearing the same passage three times over. Speech recognition closes exactly this gap: between the moment words are spoken and the moment they become a document instead of a memory.
How speech recognition works in Vibe2Text
Upload a voice recording — audio or video from a phone, recorder or camera, up to 4 GB, by file or link. The Vibe2Text ASR model converts spoken language into text, diarisation separates the speakers, and timestamps tie each phrase to its moment. The key difference from plain typing is that you don't get a raw wall of words — you get speech broken into paragraphs, with punctuation and speaker labels. In the editor the text runs in sync with the audio: hear a term recognised loosely and fix it against the sound. From the transcript you then build a summary, surface tasks, and ask the AI chat about what was said. Export to DOCX, TXT, SRT, VTT, JSON.
What helps recognition, and what trips it up
Recognition quality is decided while recording, not while processing. The model is tuned for Russian, including colloquialisms, terms and coinages, but three things throw it off: reverberation in an empty room, where the voice bounces off walls; overlapping lines, when two people speak at once; and steady background noise — air conditioning, traffic, a café. Record close to the source, dampen echo with soft surfaces, and in a discussion ask people not to interrupt. Dictate at an even pace: choppy speech full of long "uh"s recognises worse than connected speech. And don't expect automation to do what your own ear can't — if a phrase is unintelligible to a human, the play-along editor helps, but it won't conjure words out of noise.
More workflows
Pick a recording type, format, or workflow.
Transcription questions
How do I run speech recognition to text online?
Upload a voice recording by file or link — the service converts spoken language into text, adds punctuation, breaks it into paragraphs and labels the speakers. Then open the editor, listen to doubtful spots beside the text, and export the result as a document, subtitles or JSON.
How is speech recognition different from plain transcription?
Speech recognition is the step that turns sound into words — the ASR model's job. Vibe2Text doesn't stop at a raw stream: it structures the text into paragraphs, splits speakers and ties phrases to timestamps, so the output is a readable document rather than an interlinear draft.
How accurate is it with Russian speech?
The model is tuned for Russian first and handles colloquial turns, professional terms and new words confidently. Accuracy tracks the recording: even dictation at a close mic recognises almost cleanly, while echo and overlapping voices call for a pass against the audio in the editor.
Is there a free test run of recognition?
Yes, the first recognition run is free and needs no card. Run your own real dictation or a recorded conversation to judge how the model copes with your voice, diction and terminology before moving to regular work.
Are languages other than Russian supported?
Russian is the primary language, but recognition works with others too. If a recording is bilingual or a guest speaks a foreign language, you'll still get text, and you can refine doubtful fragments in the editor while listening to the original.
How are several speakers marked up?
Diarisation detects the change of voices and separates lines onto distinct tracks. After processing the anonymous labels become real names, and a round-table or interview reads like a transcript where the author of each thought is clear at a glance.
Vibe2Text
Upload once. Leave with usable text.
Upload audio or video while launch access is free. The start period has no duration cap.