MP4 is a container, not a codec. Whether your file uses H.264, HEVC, VP9, or AV1 for video and AAC, Opus, or PCM for audio, we extract the right audio track and transcribe it accurately.
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An MP4 file is a container that can hold video encoded with H.264, H.265/HEVC, VP9, or AV1, and audio encoded with AAC, Opus, AC-3, or even uncompressed PCM. It can contain multiple audio tracks, embedded subtitles, and chapter markers. Vocova reads the MP4 container structure, selects the primary audio track, and transcribes it — regardless of what codecs were used for the video or audio streams.
Drag and drop any MP4 file. We parse the container to identify audio tracks — no need to know what codec was used to create the file.
We extract the primary audio track from the MP4 container and run speech recognition. The video track is never decoded — it's the audio that matters for transcription.
Review the transcript, edit names or technical terms, and export in your preferred format. SRT and VTT exports include timestamps synced to the video timeline.
MP4 is a container format, not an encoding. We parse the MP4 atom structure to find audio tracks, read their codec metadata, and decode correctly — whether the audio is AAC-LC, HE-AAC, Opus, AC-3, or raw PCM.
Some MP4 files contain multiple audio tracks: different languages, a separate commentary track, or a mix-minus version. We select the primary track by default. If your file has multiple tracks, the default (first) track is transcribed.
Screen recordings from OBS, macOS, and Windows often have system audio mixed with microphone input, sometimes at mismatched levels. Our speech model separates voice from system sounds (notification chimes, UI clicks, music) and focuses on the spoken content.
Zoom's local recordings re-encode audio at a lower bitrate than the original call, and cloud recordings compress even further. This double compression degrades audio quality noticeably. Our model is trained on this kind of degraded conferencing audio.
Whether your MP4 uses H.264 from 2004 or AV1 from 2024 makes no difference to transcription. We never decode the video track. A 4K ProRes MP4 and a 360p H.264 MP4 with identical audio will produce identical transcripts.
Upload your MP4, get an SRT or VTT file with timestamps already synced to the video timeline. Import it into Premiere Pro, Final Cut, DaVinci Resolve, or upload it directly to YouTube alongside the video.
Zoom, Teams, Google Meet, and Webex all export MP4 recordings. Upload them directly — even Zoom's double-compressed local recordings produce accurate transcripts because our model handles conferencing audio quality.
DSLR and mirrorless camera footage saved as MP4 typically has high-quality audio from external microphones. Transcribe interviews, documentary footage, or event recordings without manual effort.
Screen recordings of tutorials, demos, and presentations become written guides. System audio is filtered out so only the narrator's voice is transcribed, not button clicks or notification sounds.
Generate subtitle files from raw MP4 footage for Premiere Pro, Final Cut, or DaVinci Resolve. Skip manual subtitle entry and import AI-generated SRT files directly into your timeline.
Convert Zoom, Teams, or Meet MP4 recordings into searchable meeting notes with speaker labels. Find who said what without scrubbing through hour-long recordings.
Generate accurate captions from your MP4 uploads. YouTube auto-captions are often wrong — replace them with properly timed SRT files from the actual audio.
Transcribe screen recording MP4 files into written tutorials and course materials. The transcript becomes the basis for documentation that complements the video.
No. Transcription works on the audio track only. We never decode the video stream. A file encoded with H.264, H.265, VP9, or AV1 will produce identical transcripts if the audio track is the same. Video resolution, frame rate, and codec choice are completely irrelevant.
We transcribe the primary (first) audio track in the MP4 container. This is typically the default track that plays when you open the file in a media player. If you need a different track transcribed, use a tool like FFmpeg to extract the specific track as a separate file and upload that.
Yes. Screen recordings often mix microphone input with system audio (music, notifications, UI sounds). Our speech model focuses on human voice frequencies and ignores system sounds. For best results, make sure the microphone level is higher than the system audio level in your recording.
Zoom compresses audio significantly — local recordings use a low-bitrate AAC encode, and cloud recordings compress even further. Combined with the already-lossy WebRTC audio from the call itself, this creates double compression. DSLR cameras capture audio directly from high-quality microphones without network compression. Our model handles Zoom-quality audio, but the gap in source quality is real.
The upload limit is 500 MB. Large MP4 files are usually large because of high-resolution video, not because of audio. Since we only use the audio track, you can extract just the audio with FFmpeg ('ffmpeg -i video.mp4 -vn -acodec copy audio.m4a') and upload that much smaller file with identical transcription results.
Yes. DJI and GoPro cameras produce standard MP4 files with AAC audio. The wind noise common in drone and action camera footage is handled by our speech model, though accuracy depends on how much the wind obscures the actual speech.
Yes. When you export as SRT or VTT, the timestamps correspond to the original video timeline. Import the subtitle file into your video editor or upload it to YouTube, Vimeo, or any platform that accepts external subtitle files.
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