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Convert MP4 to Text

Convert MP4 video files to text with AI. Upload your video and get accurate transcripts with timestamps. Free online MP4 to text converter.

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

file.mp3

0 MB
— or record from your microphone —
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1,000/min characters — Sign up to track usage

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 MP4 file. Our transcriber extracts the audio track from the H.264 video + AAC audio in an MPEG-4 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.

MP4 is H.264 video + AAC audio in an MPEG-4 container. It is most commonly produced by YouTube downloads, iPhone / Android recordings, screen captures, and streaming exports.

MP4 is lossy (H.264 video + AAC audio in an MPEG-4 container), but the loss happens in audio bands that do not carry much speech information. Faster Whisper transcribes MP4 at 1-10 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 MP4 codec.

MP4 files are typically 5-25 MB/min depending on resolution 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 MP4 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 MP4 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 MP4, 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 MP4 directly — converting to MOV first would add a re-encoding step (potentially lossy) and waste your time. The one exception is if your MP4 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 MP4. 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 MP4 audio. A 60-minute meeting transcribes for 60,000 characters; a 3-minute voice memo is free. MP4-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 MP4 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 MP4 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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