Convert MKV to Text
Upload your mkv file and get an accurate transcript in seconds. 100+ languages, speaker detection, timestamps included.
About MKV
MKV (Matroska) is a flexible video container format popular for high-quality video content. STT.ai extracts audio from MKV files for transcription.
Export Transcripts As
.TXT
Plain Text
.SRT
Subtitles
.VTT
WebVTT
.DOCX
Word Doc
.JSON
Structured
.PDF
Document
Frequently Asked Questions
Upload your MKV video file (MKV) to STT.ai or paste a URL — we extract the audio track automatically and run it through your chosen AI model. No manual demux step required. Output formats include TXT, SRT, VTT, DOCX, JSON, and PDF.
Yes. STT.ai includes 600 free minutes/month — enough for around 10 hours of video content. MKV files tend to be larger; upload limits scale with your plan. Paid plans start at $5/month.
Accuracy on MKV video transcription depends on the audio track inside the container — higher bitrate audio (256 kbps+) gives better results than heavily compressed soundtracks. Our best models reach 93-95% accuracy on clean dialogue.
For most MKV files, STT.ai Enhanced or Whisper Large V3 give the best accuracy. NVIDIA Canary is faster with comparable quality on shorter clips. You can compare results from multiple models on the same file in the compare-stt tool.
Yes. MKV video transcription supports 100+ languages and auto-detects the spoken language. For multi-language dialogue, enable language detection per segment.
Yes. Speaker diarization works on every supported format including MKV. Each speaker is labeled (Speaker 1, Speaker 2, ...) and you can rename them in the editor afterwards.
MKV video files up to 2 GB are supported on every plan. Free users get up to 1 hour of video per file; paid plans extend that to 8+ hours per file. For huge raw camera files, compress to H.264/AAC or use a URL upload.
Yes. MKV files are processed and deleted by default. Pro plans add client-side encryption — even if our database is breached, your transcripts are unreadable without your key. Data is never used for model training without explicit opt-in.
Yes. The REST API accepts MKV files directly via the /v1/transcribe endpoint. Python and Node.js SDKs include MKV examples. Free tier includes 100 minutes/month of API usage.
Yes — after transcription you can export SRT or VTT subtitles, and our burn-subtitles tool overlays them onto your MKV video as hardsubs. Soft-subtitle muxing is also supported for MKV formats that have native subtitle tracks (MKV, MP4 with mov_text).
Yes. Every transcript opens in our built-in editor where you can correct words, rename speakers, adjust timestamps, and add notes. Edits persist across exports.
Export the transcript as SRT or VTT, then use our burn-subtitles tool to render hardsubs directly onto the MKV video — no FFmpeg knowledge required. For softsubs, MKV and MP4 support attaching subtitle tracks without re-encoding.
STT.ai supports URL uploads from 1,300+ platforms (YouTube, Vimeo, SoundCloud, podcast hosts, etc.). If the source returns MKV or anything convertible to MKV, we can transcribe it. DRM-protected sources cannot be transcribed; for those, download manually and upload the MKV file directly.