Local Document Miner (AI)
Use local AI to analyze documents directly in your browser.
β¨ Convert
- RAG (Retrieval Augmented Generation)
- Summary generation
- Q&A with docs
- Runs offline after load
- Llama-3 powered
π‘ Info
**Cutting Edge** Uses WebLLM to run LLMs directly in Chrome.
**Privacy** Unlike ChatGPT, your data is not sent to OpenAI.
π Usage
- 1
Load a document.
- 2
Ask questions.
- 3
Get answers from local AI.
Overview
This tool is designed for fast, local processing with no server upload. It focuses on clarity and repeatable results.
When to use it
- β’ When you need a quick result without installing software.
- β’ When you must keep files on your device for privacy.
- β’ When you want a predictable output for reuse or sharing.
How it works
Your file is processed in the browser. The workflow is deterministic and optimized for common document patterns.
Best practices
- β’ Start with a small sample to confirm output expectations.
- β’ Keep file names simple to avoid OS-specific edge cases.
- β’ If results look off, try the tool again after a page refresh.
Common mistakes
- β’ Uploading encrypted or corrupted files without preparing them first.
- β’ Assuming a tool will fix formatting issues outside its scope.
- β’ Closing the tab before the download completes.
β οΈ Limits
- β’ Requires WebGPU support
- β’ Heavy initial model download
π₯ Inputs & Outputs
Inputs
- Documents Formats: pdf, txt Β· Multiple
Outputs
- Analysis Formats: n/a
π Privacy & Security
- β’ AI runs locally.
π Troubleshooting
Not working?
Ensure your browser supports WebGPU.
Frozen?
The model is large (2GB+), give it time to load.
Wrong answer?
AI can hallucinate. Verify facts.
β FAQ
What model is used?
Llama-3 or similar quantized models.
Is it really local?
Yes, using WebGPU technology.
Cost?
Free, uses your electricity.
Mobile?
Not supported yet, needs powerful GPU.
Can I save chat?
Copy paste it.
Data security?
Your docs stay in RAM.