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Convert MOV to Text

Convert MOV video files to text with AI. Transcribe iPhone videos and QuickTime recordings. Free online MOV to text tool.

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Oplaai oudio of video

Trek laat val jou lêer hier, of Deurblaai

Ondersteuners MP3, WAV, FLAC, OG, MPA, MP4, WebM, AVI, MKV, MKV. Vry tot 500 mb · Pro tot 2 GB.

lêer.mp3

0 MB
☞ of rekord van jou mikrofoon ium
00:00

Instellings

1,000/min karakters — Teken op snitgebruik

Transscriptive encoding name

Oplaai 'n oudio- of videolêer en klik op Traningeskryf om te begin

Om dit toe te skryf, kan 'n oomblik duur

Verspeur:

Hoe dit werk

1. Oplaai oudio of video

Laai jou oudio- of videolêer op. Ons ondersteun MP3, WAV, FLAC, OG, M4A, MP4, WebM, AVI, MOV en MKV formate tot 100mb.

2. Kunsmatige iteme

Ons KI-modelle verwerk jou oudio, bespeur taal, identifiseer sprekers en genereer akkurate teks met tyetampe.

3. Kry jou voorskrif

Kopie jou transkripsie of aflaai dit as TXT of SRT sub title formaat. Redigeer en louter soos benodig.

Gebruik letterkase

Audio transkripsie vir elke industrie en werkflowName

Vergaderinge en konferensies

Automaties Omslag Zoem, span en Google Ontmoet opnames. Moet nooit 'n aksie item weer mis nie. Voer uit as vergadering notas of ondertitels.

Onderhoude & Journalism

Spreakarisering identifiseer onderhoude vir artikels, navorsingsdokumente en dokumentêre dokumente wat gesê het wat maklik toegeskryf kan word.

Podcaste & Media

Genereer transkripsie en vertoon notas vir Podcate episodes. Skep soekbare argiewe van jou oudio inhoud. Voeg by sub- titles na videopocaste.

Stooring oefening lêer

Skakel opnames van lesings in studienote om. Maak opvoedkundige inhoud toeganklik met akkurate byskrifte. Ondersteun leerlinge met gehoorgebreke.

YouTube & Social Media

Genereer subtitels en geslote byskrifte vir YouTube video's, Tik Toks en sosiale media inhoud. Verbeter toeganklikheid en SOO met akkurate transkripsies.

Wettig Mediese

Ingeskryf deposito's, verhore, konsultasies en verwoording. Akkurate tydmerke vir verwysing. Voer uit in formate wat geskik is vir dokumentasie.

Ondersteunde Formate

Ingeskryf enige oudio- of video-lêer DVD ons onttrek die oudio outomaties

Audio FormateComment

MP3 WAV FLAC OGG M4A AAC WMA OPUS

Videoformaat

MP4 WebM AVI MOV MKV WMV FLV M4V

Oudio word outomaties onttrek uit videolêers vir transkripsie.

Transscriptive encoding name

Whisper

OpenAI se sterk spraakserkenningsmodel wat 99 tale onderhou.

  • 99 tale
  • Vertaling
  • Tydmerke
  • Veragting vir geraas
OpenAI

Faster Whisper

4x vinniger as Whisper met CTranslate2 optimaalisering, dieselfde akkuraatheid.

  • 4x vinniger
  • Sagter geheue
  • Alle modelgroottes
  • Byvoeging
  • VAD filtrering
SYSTRAN

SenseVoice

Spraakmodel met emosieopsporing, 50+ tale.

  • 50+ tale
  • Emosionele opsporing
  • Oudiogebeure
  • Luidspreker se ontleding
  • Name
Alibaba (FunAudioLLM)

Vrae wat dikwels gevra word

Upload your MOV file. Our transcriber extracts the audio track from the typically H.264 video + AAC audio in QuickTime container 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.

MOV is typically H.264 video + AAC audio in QuickTime container. It is most commonly produced by iPhone / iPad recordings, macOS screen captures, and Final Cut / iMovie exports.

MOV is lossy (typically H.264 video + AAC audio in QuickTime container), but the loss happens in audio bands that do not carry much speech information. Faster Whisper transcribes MOV at 1-15 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 MOV codec.

MOV files are typically 5-25 MB/min at 1080p 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 MOV 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 MOV 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.

Ja. Aktiveer luidspreker diarisering in die gevorderde instellings en ons pypleiding loop pyannote. audio bo-op Whisper om elke spreker te klassifiseer. Vir die beste resultate op MOV, gee ons ten minste 30 sekondes klank sodat die diarizer genoeg monsters het om stemme te tros. Twee-praater opnames kry die akkuraatste etiket.

Nee. Ons transkriber handvatsels van 88 000 direk illa omskakel na MP4 eerste sal voeg by 'n re-enkodering step (potensielik verlies) en mors jou tyd. Die een uitsondering is as jou MOV lêer gebruik' n ongewone kodec ons dekodeerder doen nie herken (r); ons sal vertel dat op oplaai en jy kan omskakel deur middel van ons vry Audio Omskakel.

Yes, that is the most common upload pattern for MOV. 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 MOV audio. A 60-minute meeting transcribes for 60,000 characters; a 3-minute voice memo is free. MOV-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 MOV 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 MOV 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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Ingeskryf Audio & Video met Kunsmatige inteligensie

Kry akkurate transkripsie in 99 tale, teken gratis op en kry 15 000 karakters om te begin

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