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Convert MKV to Text

Convert MKV video files to text with AI. Transcribe movies and video files with subtitle export. Free online MKV transcription.

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Supports MP3, WAV, FLAC, OGG, M4A, MP4, WebM, AVI, MOV, MKV. Max 100MB.

file.mp3

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Transcript

Upload an audio or video file and click Transcribe to get started

Transcribing... This may take a moment.

Detected:

How It Works

1. Upload Audio or Video

Upload your audio or video file. We support MP3, WAV, FLAC, OGG, M4A, MP4, WebM, AVI, MOV, and MKV formats up to 100MB.

2. AI Transcribes

Our AI models process your audio, detecting language, identifying speakers, and generating accurate text with timestamps.

3. Get Your Transcript

Copy your transcript or download it as TXT or SRT subtitle format. Edit and refine as needed.

Use Cases

Audio transcription for every industry and workflow

Meetings & Conferences

Automatically transcribe Zoom, Teams, and Google Meet recordings. Never miss an action item again. Export as meeting notes or subtitles.

Interviews & Journalism

Transcribe interviews for articles, research papers, and documentaries. Speaker diarization identifies who said what for easy attribution.

Podcasts & Media

Generate transcripts and show notes for podcast episodes. Create searchable archives of your audio content. Add subtitles to video podcasts.

Lectures & Education

Convert recorded lectures into study notes. Make educational content accessible with accurate captions. Support students with hearing impairments.

YouTube & Social Media

Generate subtitles and closed captions for YouTube videos, TikToks, and social media content. Improve accessibility and SEO with accurate transcripts.

Legal & Medical

Transcribe depositions, hearings, consultations, and dictation. Accurate timestamps for reference. Export in formats suitable for documentation.

Supported Formats

Transcribe any audio or video file — we extract the audio automatically

Audio Formats

MP3 WAV FLAC OGG M4A AAC WMA OPUS

Video Formats

MP4 WebM AVI MOV MKV WMV FLV M4V

Audio is automatically extracted from video files for transcription.

Transcription Models

Whisper

OpenAI's robust speech recognition model supporting 99 languages.

  • 99 languages
  • Translation
  • Timestamps
  • Robust to noise
OpenAI

Faster Whisper

4x faster than Whisper with CTranslate2 optimization, same accuracy.

  • 4x faster
  • Lower memory
  • All model sizes
  • Batch processing
  • VAD filtering
SYSTRAN

SenseVoice

Speech understanding model with emotion detection, 50+ languages.

  • 50+ languages
  • Emotion detection
  • Audio events
  • Speaker analysis
  • Rich metadata
Alibaba (FunAudioLLM)

Frequently Asked Questions

Upload your MKV file. Our transcriber extracts the audio track from the a flexible Matroska container that can hold multiple audio tracks and subtitles alongside H.264/H.265 video container, sends it to Faster Whisper on a GPU, and returns a timestamped transcript along with optional SRT and VTT subtitle exports. You do not need to demux or extract audio yourself — that happens server-side.

MKV is a flexible Matroska container that can hold multiple audio tracks and subtitles alongside H.264/H.265 video. It is most commonly produced by high-resolution video releases, Blu-ray rips, and multi-track downloads.

MKV is lossy (a flexible Matroska container that can hold multiple audio tracks and subtitles alongside H.264/H.265 video), but the loss happens in audio bands that do not carry much speech information. Faster Whisper transcribes MKV at 2-20 Mbps total within ~1% of WAV accuracy on the same source recording. The real accuracy floor is original recording quality (mic, room, speaker clarity), not the MKV codec.

MKV files are typically 10-50 MB/min, often with selectable audio languages so most uploads land well under our 500 MB ceiling. Free accounts can transcribe up to 5 minutes per upload. Paid plans go up to 2 hours. If you are bumping the ceiling on long files, see the audiobook / longform tool which handles multi-hour transcription.

Yes — Faster Whisper supports 99 languages and auto-detects the spoken language in your MKV file. You can also force a specific source language via the advanced settings if auto-detect picks the wrong one (common with accented English misclassified as the listener mother tongue, or with very short clips).

We return SRT and VTT subtitle files alongside the plain-text transcript. To embed them inside your MKV file, use a tool like ffmpeg or HandBrake to mux the SRT/VTT as a soft-subtitle track. We do not re-encode the video itself — that would be lossy.

MKV can carry multiple audio tracks, but for speaker diarization we mix them down to a single track first. If your MKV has separate audio tracks per speaker (rare outside of professional production), the cleanest workflow is to extract each track to MP3, transcribe individually, and merge the transcripts — that is 100% speaker-accurate without needing diarization.

No. Our transcriber handles MKV directly — converting to MP4 first would add a re-encoding step (potentially lossy) and waste your time. The one exception is if your MKV file uses an unusual codec our decoder does not recognize (rare); we will tell you that on upload and you can convert via our free Audio Converter.

Yes, that is the most common upload pattern for MKV. Faster Whisper handles clean recordings, noisy ones, and accented speech — you do not need to clean up the audio first. If accuracy is not what you expect, run the file through our Audio Enhancer (free for one pass) to remove background noise, then retry transcription.

Transcription is free for files under 5 minutes. Paid plans use ~1,000 characters per minute of MKV audio. A 60-minute meeting transcribes for 60,000 characters; a 3-minute voice memo is free. MKV-specific note: if your file is mostly silence (e.g. long pauses in a meeting recording), enable Voice Activity Detection to skip the silence and pay only for the speech sections.

Yes. Uploaded MKV files are processed on our GPU servers and automatically deleted within 2 days. We never store the audio long-term, train models on user data, or share with third parties. The transcript stays in your account for as long as you want it.

Yes. POST your MKV file to /api/v1/transcribe/ as multipart form data. The endpoint accepts the video directly — no need to extract audio first; ffmpeg handles the demux server-side. The response includes the transcript, timestamps, and a job UUID you can poll for SRT/VTT export URLs.
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