Vidlizer FAQs

Question 1

What is Vidlizer and what does it do?

Accepted Answer

Vidlizer is a powerful tool designed to extract structured JSON data from any video, image, or PDF. It uses advanced vision LLMs to analyze content scene-by-scene, providing details on what happened, who was on screen, visible text, and changes, with optional audio transcription.

Question 2

Can I run Vidlizer offline or does it require a cloud connection?

Accepted Answer

Vidlizer supports both! You can run it fully offline with local LLM providers like Ollama, LM Studio, or oMLX (optimized for Apple Silicon). For cloud-based models, it integrates with OpenRouter, providing flexibility based on your needs.

Question 3

What are the key benefits of using Vidlizer for data extraction?

Accepted Answer

Vidlizer ensures reliable structured data with its JSON repair feature, offers cross-provider fallback for uninterrupted analysis, includes perceptual deduping to save tokens, and provides detailed, customizable output formats for easy integration into data science and ML workflows.

Question 4

What input sources does Vidlizer support?

Accepted Answer

Vidlizer is highly versatile, accepting local files (video, image, PDF) as well as URLs from popular platforms like YouTube, Loom, Vimeo, and Twitter. You can analyze almost any visual or document-based content.

Question 5

Does Vidlizer offer audio transcription for videos?

Accepted Answer

Yes, Vidlizer automatically detects and transcribes audio in videos using Apple MLX Whisper, merging the spoken content seamlessly into the structured JSON output for each scene. This provides a complete analysis of visual and auditory information.

Vidlizer

Vidlizer

主な機能

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主な機能

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