VideoTranscriptConverter
Extract a clean, time-stamped transcript from any video file with speaker diarization, punctuation restoration, and paragraph segmentation. Optimized for interviews, meetings, lectures, and multi-speaker content where accurate attribution matters.
How It Works
Upload your video file or provide a URL to the Mixpeek API.
The audio track is extracted and preprocessed with noise reduction and normalization.
A large speech model transcribes the audio with word-level timing.
Speaker diarization clusters speech segments by individual speaker identity.
The final transcript is formatted with timestamps, speaker labels, and paragraph breaks.
Code Examples
from mixpeek import Mixpeekclient = Mixpeek(api_key="YOUR_API_KEY")result = client.convert(source="https://example.com/interview.mp4",from_format="video",to_format="transcript",options={"speaker_diarization": True,"num_speakers": 2,"output_format": "txt","vocabulary_boost": ["Mixpeek", "multimodal", "embeddings"]})for segment in result.segments:print(f"[{segment.start_time}] {segment.speaker}: {segment.text}")
Use Cases
Supported Input Formats
Quick Info
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 transcript?
Start using the Mixpeek Video to Transcript in minutes. Sign up for a free API key and follow the documentation to get started.
