Whisper large-v3 transcription
Powered by Groq-accelerated Whisper large-v3-turbo — one of the most accurate open-source speech recognition models available. Handles accents, technical vocabulary, and overlapping speech with ease.
Turn audio and video into text. Fast, accurate, in 99+ languages.
Sign up in seconds. No credit card required. Upload audio, video, or paste a YouTube URL.
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Key points
People mentioned
Note: Only the first part of the transcript was corrected/analyzed due to length.
Built on the best open models. No lock-in, no bloat — just fast, accurate results.
Powered by Groq-accelerated Whisper large-v3-turbo — one of the most accurate open-source speech recognition models available. Handles accents, technical vocabulary, and overlapping speech with ease.
Greek, English, German, French, Spanish, Italian, Portuguese, Romanian, Turkish and 90+ more. Auto-detected or manually selected. No extra charge per language.
Automatically identifies who is speaking and when. Transcripts are split by speaker so you can follow a conversation, panel, or interview without confusion.
Raw Whisper output is passed through Gemini 3 Flash to fix typos, punctuation, and grammar — while keeping the full text intact. No summarization unless you want it.
Every transcription includes a structured summary at the top: key points, participants mentioned, and main topics — ideal for long meetings or conferences.
Paste any YouTube link and we extract the audio automatically. No downloading needed. Works with videos, shorts, and long-form content up to 4 hours.
Download your transcript as a subtitle file (SRT/VTT) ready for video editors, or as a formatted Word document. Copy to clipboard with one click.
A 1-hour recording is typically transcribed, corrected, and summarized in under 3 minutes. Groq's LPU inference makes AI processing nearly instant.
Files are processed and deleted within 24 hours. We never train models on your data. Your recordings stay yours.
From solo journalists to enterprise teams — TataText adapts to your workflow.
Transcribe interviews in the field within minutes. Speaker detection tells you exactly who said what. Export to DOCX and paste straight into your article. No more manual playback.
Upload full conference recordings and get a complete verbatim transcript with speaker labels, plus an executive summary. Perfect for publishing proceedings or sharing notes with attendees.
Accurate word-for-word transcription of depositions, hearings, and client meetings. Download as SRT with timestamps or DOCX for filing. Supports legal terminology across languages.
Turn every episode into a searchable transcript, blog post, or social media content. YouTube URL support means you can transcribe your own videos without re-uploading.
Transcribe focus groups, oral history interviews, and lecture recordings. Multi-speaker detection keeps participants separate. Export to any format for qualitative analysis.
Dictate clinical notes, patient consultations, and ward rounds. Whisper handles medical terminology accurately across 99+ languages. Files deleted after 24 hours.
Transcribe board meetings, all-hands calls, performance reviews, and training sessions. Get an automatic summary with key decisions and action items highlighted.
Record lectures, seminars, and study groups then get a clean transcript instantly. Great for revision, accessibility, and sharing notes with classmates.
Drop an audio/video file or paste a YouTube URL.
Whisper large-v3 converts speech to text in seconds.
Gemini 3 Flash fixes errors and identifies speakers.
Copy text, download SRT/VTT/DOCX, or read the summary.
TataText is not a wrapper around a single API. It is a multi-model pipeline designed for quality. Each step uses the best model for that specific task.
Current stack: Whisper large-v3-turbo · Gemini 3 Flash · pyannote 3.3 · yt-dlp