YouTube is massive — but it doesn't contain everything. Your company's recorded webinars are stored on Google Drive. Your professor's lectures are on your university's portal or saved locally. Client presentations you downloaded for reference, conference talks you recorded yourself, instructional screencasts, interview recordings — vast amounts of valuable video content exists outside of YouTube, and until recently, it was locked in a format you could only consume passively.
AI video file analysis changes this. Upload any video file — MP4, MOV, MKV, WEBM — and get a full AI-powered transcription, summary, and interactive Q&A in minutes.
Supported Video Formats
laminai supports all major video container formats. The underlying processing extracts the audio track and passes it to Whisper for transcription — the video codec itself is largely irrelevant to the AI analysis.
Video files are processed using ffmpeg, which extracts the audio track without loading the full video into RAM. This makes processing efficient even for large files and avoids memory issues on the server. Only the audio is sent to Whisper for transcription — video frames are not analyzed.
The Processing Pipeline
Upload and Validate
Your video file is uploaded securely to the server. The file type is validated and the audio track is identified. Files up to 500MB are supported depending on your plan.
Audio Extraction
ffmpeg extracts the audio track and converts it to a standardized format (16kHz mono WAV) optimized for speech recognition. This takes seconds regardless of video length.
Transcription with Whisper
The audio is sent to Whisper large-v3 for transcription. For files over 25MB, the audio is automatically chunked into overlapping segments, each transcribed separately and stitched together.
AI Analysis with Llama
The full transcript is passed to Llama-3.3-70B, which generates a structured summary and a set of quiz questions. The transcript is also indexed for the interactive chat feature.
Real-World Use Cases
"The best insights aren't always on YouTube. Your most valuable video content is probably sitting in a Drive folder or on your hard drive right now."
File Size and Long Video Handling
Processing long videos requires careful handling of both file size limits and transcription accuracy across chunk boundaries. laminai handles this automatically:
- Under 25MB: Audio is transcribed in a single pass — fastest and most accurate
- 25MB–100MB: Audio is split into overlapping 10-minute chunks; each is transcribed and joined with overlap detection to prevent duplicate content at boundaries
- Over 100MB: Same chunking approach with additional quality checks; processing takes longer but accuracy is maintained
If you have a very long recording (over 2 hours), consider trimming it to the most relevant sections before uploading. Most video editors have simple trim/cut tools. This speeds up processing and focuses the AI analysis on content you actually care about.
Getting the Best Transcription Quality
Transcription accuracy from video files depends heavily on the original recording quality:
- Use screen recordings with system audio capture — this picks up cleaner audio than recording speakers with a microphone
- For meeting recordings — use Zoom/Teams' built-in recording feature rather than recording your screen separately; built-in recording captures each audio stream separately
- Avoid heavily compressed videos — H.265/HEVC at very low bitrates loses audio quality; use H.264 at 128kbps+ audio
- Background noise in recordings — lecture hall HVAC, keyboard sounds, ambient chatter all reduce transcription accuracy; Whisper handles them reasonably but clear audio is always better
Analyze Your Video Files
Upload any MP4, MOV, MKV, or WEBM — get transcription, summary, quiz, and AI chat in minutes.
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