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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Unggah Audio atau Video

Seret & jatuhkan berkas anda di sini, atau ramban

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

berkas.mp3

0 MB
Atau rekaman dari mikrofonmu.
00:00

Pengaturan

1,000/min karakter Daftar untuk melacak penggunaan

Transkrip

Unggah berkas audio atau video dan klik Trancrite untuk memulai

Menerjemahkan... mungkin butuh waktu sebentar.

Terdeteksi:

Cara Kerjanya

1. Unggah Audio atau Video

Unggah berkas audio atau video Anda. Kami mendukung MP3, WAV, FLAC, OGG, M4A, MP4, WebM, AVI, MOV, dan MKV format hingga 100MB.

2. AI Trancrites

Model AI kami memproses audio Anda, mendeteksi bahasa, mengidentifikasi pembicara, dan menghasilkan teks yang akurat dengan penanda waktu.

Dapatkan Transcript Anda

Salin transkrip atau unduh sebagai format subjudul TXT atau SRT. Sunting dan perbaiki sesuai kebutuhan.

Gunakan Kasus

Transkripsi audio untuk setiap industri dan alur kerja

Rapat & Konferensi

Otomatis menuliskan Zoom, Teams, dan Google Meet recording. Jangan pernah melewatkan suatu butir aksi lagi. Ekspor sebagai catatan pertemuan atau subtitel.

Wawancara & Jurnalisme

Diariasi Speaker mengidentifikasi siapa yang mengatakan apa yang mudah dikaitkan.

Podcast & Media

Buat transkrip dan tampilkan catatan untuk episoda podcast. Buat arsip yang dapat dicari dari isi audio Anda. Tambahkan subtitel ke podcast video.

Kuliah & Pendidikan

Ubah kuliah rekaman menjadi catatan penelitian. Buat konten pendidikan dapat diakses dengan keterangan yang akurat. Dukung siswa dengan gangguan pendengaran.

YouTube & Media Sosial

Hasilkan subjudul dan tutup keterangan untuk video YouTube, TikToks, dan konten media sosial. Meningkatkan aksesibilitas dan SEO dengan transkrip yang akurat.

Legal & Medis

Transkrip deposisi, pendengaran, konsultasi, dan pendiktean. Penanda waktu akurat untuk referensi. Ekspor dalam format yang cocok untuk dokumentasi.

Format Yang Didukung

Transkrip berkas audio atau video apapun yang kami ekstrak secara otomatis audio

Format Audio

MP3 WAV FLAC OGG M4A AAC WMA OPUS

Format Video

MP4 WebM AVI MOV MKV WMV FLV M4V

Audio otomatis diekstrak dari berkas video untuk transkripsi.

Model Transkripsi

Whisper

Model pengenalan pidato khas OpenAI mendukung 99 bahasa.

  • 99 bahasa
  • Terjemahan
  • Penanda waktu
  • Robust untuk kebisingan
OpenAI

Faster Whisper

4x lebih cepat dari Whisper dengan optimasi CTranslate2, akurasi yang sama.

  • 4x lebih cepat
  • Kecilkan memori
  • Semua ukuran model
  • Pemrosesan batch
  • Penyaringan VAD
SYSTRAN

SenseVoice

Model pemahaman pidato dengan deteksi emosi, 50+ bahasa.

  • 50+ bahasa
  • Deteksi emosi
  • Peristiwa audio
  • Analisa Speaker
  • Metadata kaya
Alibaba (FunAudioLLM)

Pertanyaan yang Sering Diajukan

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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Transkrip Audio & Video dengan AI

Dapatkan transkripsi akurat dalam 99 bahasa. daftar bebas dan mendapatkan 15.000 karakter untuk memulai.