Flagship v1
Our most accurate model for long, complex Hindi recordings.
- Speaker detection and labels
- 90+ languages supported
- Files up to 30 minutes and 100 MB
- Word-level timestamps and SRT subtitles
Upload or record Hindi audio and video and get accurate, editable Devanagari text with timestamps in seconds.
Trusted by 1M+ users · Free to start
Recording 00:00 · click Record again to stop
Experience the full audio AI platform
Text to speech, voice cloning, transcription, and VoxStudio tools in one account. Free to start.
High-quality, context-aware Hindi transcripts.
Automatically identify and separate speakers.
Supports 90+ languages and accents.
Get results in seconds, not hours.
| Model | FLEURS |
|---|---|
| Flagship v1 | 17.0% WER |
| Deepgram Nova 2 | 99.5% WER |
| Gemini Flash 2 | 13.0% WER |
| Whisper Large v3 | 41.0% WER |
Our most accurate model for long, complex Hindi recordings.
Free transcription for quick Hindi notes, clips, and voice memos.
Everything you need to know about transcribing Hindi audio.
Yes. Without an account you can transcribe 5 Hindi audio or video files every 12 hours with Speech to Text Lite, up to 30 minutes each. Paid plans use the Flagship model, which adds speaker detection.
Yes. Hindi audio is transcribed in Devanagari, the way Hindi is normally written, so the text is ready to edit, translate or publish.
MP3, WAV, M4A, FLAC, OGG, WEBM, AAC, AIFF and OPUS audio, plus MP4, MOV, MKV, AVI, WMV, FLV, MPEG and 3GP video. Files can be up to 100MB and 30 minutes long.
Yes. On paid plans the Flagship model labels each speaker, which is useful for Hindi interviews, podcasts and meetings.
Yes. Click the microphone button, allow microphone access in your browser, speak in Hindi and stop the recording. It is transcribed like any uploaded file.
Click Download to save the transcript as a text file, or copy it to your clipboard. Your files also stay in the Speech to Text tool, where you can export subtitles.
Your files are only visible to you. You can delete an uploaded file and its transcript at any time from the Speech to Text tool.