Timestamp / Timecode Converter

Convert between SRT, VTT, seconds, milliseconds, and frame-based timecodes. Supports single and bulk conversion.

Single Timestamp
Auto-detects format
SRT Format (HH:MM:SS,mmm)--
VTT Format (HH:MM:SS.mmm)--
Total Seconds--
Total Milliseconds--
Frames--
SMPTE Timecode (HH:MM:SS:FF)--
Bulk Conversion
Supported Input Formats
01:23:45,678
SRT format
01:23:45.678
VTT format
5025.678
Total seconds
5025678
Milliseconds (large integers)
01:23:45:20
SMPTE timecode
150720
Frame number
❤️ Like STT.ai? Tell your friends!

Need the full transcript, not just a tool?

Upload audio or video, or paste a link — AI transcription in 100+ languages with speaker detection. 10 free minutes a day, no signup.

Frequently Asked Questions

timestamp conversion runs in your browser: paste a URL, upload a file, or record from your mic. STT.ai picks the AI model and returns the transcript in under 5 minutes. Export as TXT, SRT, VTT, DOCX, JSON, or PDF.

Yes. Every visitor gets 600 free minutes to start on STT.ai, usable for timestamp conversion the same as any other workflow. Paid plans starting at $5/month unlock longer files, private transcripts, and priority queueing.

timestamp conversion runs on the same AI models as the rest of STT.ai — our best models reach 95-97% accuracy on clean speech (3-5% Word Error Rate on benchmarks). Switch models on the fly if the first pass is below your target.

timestamp conversion can run on any of the Whisper models STT.ai hosts — STT.ai Enhanced (Whisper large-v3, most accurate, on paid plans), Whisper Large V3, Whisper Turbo (fast), Whisper Medium and Whisper Small.

Yes. Every transcript exports as SRT or VTT — works with YouTube, Vimeo, TikTok, VLC, and every major video player. The burn-subtitles tool overlays them onto video as hardsubs.

Yes. Speaker diarization automatically labels each voice (Speaker 1, Speaker 2, ...) and you can rename them in the built-in editor. Works across all models and languages.

Most timestamp conversion jobs finish in under 5 minutes. A 1-hour audio file typically completes in 2-3 minutes with our fastest models. Speed depends on chosen model and current GPU load.

timestamp conversion accepts 20+ formats — MP3, WAV, M4A, FLAC, OGG, MP4, MKV, MOV, WebM, AVI, and more. Output to TXT, SRT, VTT, DOCX, JSON, or PDF.

Yes. Audio files submitted to timestamp conversion are processed and deleted by default. Pro plans add client-side encryption — even if STT.ai's database is breached, your transcripts are unreadable without your key. Data is never used for model training without explicit opt-in.

Yes. STT.ai offers a REST API with Python and Node.js SDKs, plus an MCP server for Claude and Cursor — all usable for timestamp conversion workflows. Free API tier includes 100 minutes/month.

Yes. Every transcript opens in the built-in editor where you can correct words, rename speakers, adjust timestamps, and add notes. All changes save automatically.

Every transcript gets a unique shareable URL. Export to DOCX or PDF for email. Pro plans add password-protected and permanent links — useful for client work.

STT.ai handles 1,300+ platforms including YouTube, Vimeo, TikTok, SoundCloud, Zoom, Google Meet, podcast hosts, and more. URL transcription works with publicly-available content only — DRM-protected sources can't be transcribed.