Clear output
Data processing: review access, data, and support rules for Vibe2Text.
Data processing
Data processing in Vibe2Text
Public product, data, billing, and support information.
or
Review tools
Data processing: review access, data, and support rules for Vibe2Text.
Useful exports
Data processing: review access, data, and support rules for Vibe2Text.
Team-ready text
Data processing: review access, data, and support rules for Vibe2Text.
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
Why you should see the whole path of a recording
When a recording lives as a lone file on someone's laptop, asking where that data is now is impossible — no one described its path. Yet a path always exists: the file is uploaded, turned into text, edited, exported into a document, handed to someone, saved somewhere. Setting up data processing in transcription properly means seeing that chain from source to deletion and, at each step, knowing where the data is, who touches it and what happens next. Without such a map you manage individual files, not a process, and sooner or later one of them goes where it shouldn't.
What the data flow looks like step by step
Step one, upload: a file up to 4 GB or a link, transferred over TLS. Step two, recognition: audio becomes text with speaker diarization, timecodes and clean paragraphs. Step three, the editor with playback: edits, renaming speakers, removing the excess. Step four, derivatives: summaries, action items, chat over the content, smart reports, all on top of the same text. Step five, export: DOCX, SRT, VTT, TXT, JSON or delivery via API to the right recipients. Step six, storage on servers in Russia and one-click deletion once the processing purpose is met. It helps to draw this scheme for your team in advance: that is your data map.
Where the flow most often leaks
The first weak point is an entry without purpose: if it's unclear why a recording is being processed, everything downstream rests on trust. Define the purpose before uploading. The second is bloated access: the more people see the text just in case, the wider the leak surface; grant access by roles and at the minimum. The third is logging the full text: technical logs are needed, but the full transcript shouldn't land in them, or you breed copies of data. The fourth is mixing draft and final, so unchecked material leaves. And the fifth is forgotten sources: make deletion a step in the process, not a someday. Then the flow stays managed end to end.
More workflows
Pick a recording type, format, or workflow.
Transcription questions
How do I set up data processing in transcription properly?
Describe the recording's path from upload to deletion and at each step answer where the data is and who has access. Define the processing purpose in advance, grant access by roles, don't log the full text, and make deletion a required step rather than a someday.
What happens to a file after upload?
Audio is transferred over TLS, recognized into text with speaker diarization, timecodes and paragraphs, then available in the editor with playback. On top of the text you can build summaries, tasks and reports. Then comes export to the right recipients and storage on servers in Russia until deletion.
Does the full transcript text end up in the logs?
No. Technical logs record actions — who opened, downloaded, edited — so you can trace the movement of data. The full transcript isn't written into them, so the action history doesn't become an extra copy of the recording's content that would also need guarding.
How do I pass the result into another system?
Through JSON export or API delivery: a file or link can be transferred automatically, and a notification signals readiness. DOCX suits documents, SRT and VTT suit subtitles. Set who the recipient is, so data goes to named targets rather than a broadcast to the whole team.
Can data be fully removed from the flow?
Yes. A single click wipes both the source file and the recognized text from the account, and copies in backup storage are purged on a scheduled cycle. Make deletion an explicit step: once the processing purpose is met, a recording shouldn't linger simply because it was forgotten.
Which languages does recognition work with in the flow?
Russian is the most refined and serves as the primary recognition language, though the flow handles others as well. It doesn't change how the flow is built: the same steps — upload, recognition, editor, export, storage, deletion — work the same regardless of the source recording's language.
Vibe2Text
Upload once. Leave with usable text.
Upload audio or video while launch access is free. The start period has no duration cap.