Transcription

• In the dashboard sidebar click “Transcription”
• Folders and the list of all files are on the left; the upload button and the processing queue are on the right
• The limit bar shows how many minutes are used and how many are left

Click “Choose file” or drag files into the upload area — the upload window opens.

Files

• Up to 10 files at a time, each up to 5 GB
• Formats: MP3, MP4, M4A, MOV, AAC, WAV, OGG, OPUS, MPEG, WMA, WMV and other audio and video
• Large video is converted to MP3 right in the browser before sending, and long recordings are split into parts — this happens automatically

Link

• Paste the video address into the “Or paste a video link” field
• YouTube, TikTok, Instagram, Vimeo, VK, RuTube, OK and others are supported
• The service checks the duration: a video that is too long is rejected — the limit is shown in the message

• Task: “Transcription” — text in the recording's language, or “Translate to English” — English text straight away
• “Speaker detection” (beta) — the bot marks speaker changes by pauses: handy for interviews and calls
• Folder — where to put the result; a new folder can be created right here
• The recording language is detected automatically, you don't need to choose it

• Click “Start transcription” (for a link — “Transcribe”)
• Queue statuses: Converting → Uploading → Speech recognition → Done
• Don't close the window while the file is uploading. After the “File uploaded” message you can close the page — processing continues on the server
• Most files are ready in under a minute, recordings over an hour take 2–3 minutes

Click a finished file in the list — the result opens.

• Tabs: “Text” — plain text, “With timecodes” — paragraphs with time marks, “Timecodes + speakers” — who spoke when, “Segments” — by phrase
• At the top — the detected language, word and character counts
• “Edit” opens the text for corrections; “Save” writes the changes

Copy

• “Copy text” — clean text
• “With timecodes” — text with time marks
• “For NotebookLM” — a format that's easy to load into a Google NotebookLM notebook

Export

• Documents: PDF, DOCX, TXT, CSV
• Subtitles: SRT and VTT — with time marks for video editors and YouTube
• Telegram: send as a file in any of these formats to the chat with the bot

• Folders on the left: “All files”, “No folder” and yours. Create, rename and delete a folder from its menu; when deleting, the files move to “No folder”
• The “Search by text...” field searches the contents of transcripts, not just names
• Tick several files — bulk actions appear: export, send to Telegram, move to a folder, delete