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    media

    Video
    Text
    Converter

    Extract spoken dialogue, on-screen text, and scene descriptions from video files using multimodal AI. Produces time-stamped transcripts with speaker diarization and OCR-detected overlays.

    Max file size: 5 GB
    Estimated: 2-10 min per hour of video
    6 input formats

    How It Works

    1

    Upload your video file or provide a URL to the Mixpeek API.

    2

    The audio track is separated and transcribed with automatic speaker diarization.

    3

    Frames are sampled and analyzed for on-screen text via OCR.

    4

    Scene descriptions are generated using a vision-language model.

    5

    All outputs are merged into a single time-stamped transcript.

    Code Examples

    from mixpeek import Mixpeek
    

    client = Mixpeek(api_key="YOUR_API_KEY")
    

    result = client.convert(
        source="https://example.com/lecture.mp4",
        from_format="video",
        to_format="text",
        options={
            "include_timestamps": True,
            "speaker_diarization": True,
            "ocr": True
        }
    )
    

    print(result.text)

    Use Cases

    Generate searchable transcripts for lecture recordings
    Create subtitles and closed captions for accessibility
    Index corporate meeting recordings for knowledge management
    Extract dialogue from marketing videos for repurposing

    Supported Input Formats

    MP4
    MOV
    AVI
    MKV
    WebM
    FLV

    Quick Info

    Categorymedia
    Max File Size5 GB
    Est. Time2-10 min per hour of video
    Extractorvideo-descriptor

    Try This Conversion

    Get started with the Mixpeek API and convert your first file in minutes.

    Frequently Asked Questions

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    Ready to convert video to text?

    Start using the Mixpeek Video to Text in minutes. Sign up for a free API key and follow the documentation to get started.