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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.

Kwiyandikisha
OYA in Ururimi:. Guhindura izina

Cyangwa

& Shyiraho Idosiye, Cyangwa Gushakisha

,,,,,,,.

Idosiye

0 MB
- Cyangwa Kuva: -
00:00

Amagenamiterere y'idirishya

1,000/min Inyuguti — Kwiyandikisha Kuri Gukurikira

Guhindura

Umwandiko Cyangwa Videwo... Idosiye na Kanda Kuri Kubona

... Gicurasi A.

Byabonetse:

Akazi

1. Cyangwa

Umwandiko Cyangwa Videwo... Idosiye. Gushigikira,,,,,,,,,, na Imiterere Hejuru Kuri.

2.

Udushushondanga, Ururimi:,, na Umwandiko Na:.

3.

Cyangwa Iyimura Nka Cyangwa Imiterere. na Nka.

Gukoresha

ya: Na

& Cyangwa

,, na Google. Igikorwa Ikintu Hanyuma. Nka Ibisobanuro: Cyangwa.

& Ubutumwa

ya:, Ubushakashatsi Impapuro, na. ya:.

& Media

na Herekana% S Ibisobanuro: ya:. Bya Inyumvo Ibigize. Kuri Videwo....

& Ejo Heza

Ibisobanuro:. Ibigize Na:. Na:.

Itangazamakuru ry' umuryango

na Funga kugirango Videwo..., na Ibinyamakuru Ibigize. Na Na:.

& Ubwoko bw'amadosiye

,,, na. ya: Indango. in Imiterere ya: Inyandiko.

Imiterere

Icyo ari cyo cyose Ijwi Cyangwa Videwo... IDOSIYE - Twebwe i Ijwi mu buryo bwikora:

Imiterere y'amajwi

MP3 WAV FLAC OGG M4A AAC WMA OPUS

Videwo... Imiterere

MP4 WebM AVI MOV MKV WMV FLV M4V

ni mu buryo bwikora: Kuva: Videwo... Idosiye ya:

Guhindura imiterere

Whisper

Ubwoko

  • Ururimi:
  • Umwandiko wahinduwe ururimi
  • Igihe- ngombwa
  • Kuri
OpenAI

Faster Whisper

4x Na:,.

  • 4.
  • Ububiko
  • Urugero Ingano
  • Amatsinda
  • Muyunguruzi...
SYSTRAN

SenseVoice

Urugero Na:, Ururimi:.

  • Ururimi:
  • Gushakisha
  • Ibyabaye
  • Isesengurabyose
  • Ibyatanzwe bya meta
Alibaba (FunAudioLLM)

Ibibazo bizwa kenshi

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.

Yes. Enable speaker diarization in the advanced settings and our pipeline runs pyannote.audio on top of Whisper to label each speaker. For best results on MOV, give us at least 30 seconds of audio so the diarizer has enough samples to cluster voice prints. Two-speaker recordings get the most accurate labeling.

No. Our transcriber handles MOV directly — converting to MP4 first would add a re-encoding step (potentially lossy) and waste your time. The one exception is if your MOV 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 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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Twebwe?

& Video Na:

in. Hejuru Kigenga na Kubona Inyuguti: Kuri Tangira & vendorShortName;.

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