Supametas.AI: Extracting Unstructured Data into LLM Highly Available Data

General Introduction

Supametas.AI is a data processing platform that specializes in organizing web pages, documents, audio and video, and other clutter into structured data that AI can use. It supports collecting data from multiple sources, including web links, APIs, local files, etc., and then outputting it into JSON or Markdown format. The platform requires no programming experience, so ordinary people can get started quickly. Its core advantage is that it reduces data processing time, which traditionally takes months, to 30 minutes, making it particularly suitable for enterprises and developers to build AI knowledge bases (LLM RAGs.) Supametas.AI offers cloud services and upcoming private deployments to meet the needs of different users.

Function List

• Multi-source data collection: Supports data extraction from web page URLs, API interfaces, local files (PDF, Word, images, audio, video).
• Structured Output: Convert unorganized data to JSON or Markdown to fit AI models.
• Knowledge Base Integration: Docking to OpenAI Storage, Dify Datasets, or custom integration via API.
• natural language extraction (NLE): Prompt for extracted fields in simple language, e.g. "Grab title and body".
• Complex web crawling: Automatically handle list pages, pagination, multi-layer pages, and support timed updates.
• Large file handling: Supports files of hundreds of MB, such as long documents or HD videos.
• Audio and video processing: Extract timeline, subtitles, dialog, etc.
• no-code interface: Easy to operate, no technical background required.
• data privacy: Offers cloud services and Docker private deployment options.

Using Help

Supametas.AI doesn't require complex software installation and operates directly on the web. Below is a detailed description of how to use its core features to help users get started quickly.

Register & Login

1. show (a ticket) https://supametas.ai/zhClick on "Get Started".
2. Sign up with your email address, or choose a Google account to sign in.
3. Signing up enters you into a free trial mode that includes basic functionality and a few resources.

Data collection and processing

web crawler

1. After logging in, click New Dataset.
2. Select the "URL" data source and enter the target web page, such as https://example.com/blogThe
3. Set the crawl parameters:
   • "Depth Value: Set to 3 to crawl three levels of pages.
   • "Loop Time Value: Set to 24 for daily updates.
4. Click on "Start Processing" and the system automatically extracts the title, body text, etc.
5. When the process is complete, click Export and choose either JSON or Markdown to download.

Local Document Processing

1. On the New Dataset screen, select Local File.
2. Click "Upload File" to drag and drop or select files.
3. Supported formats include:
   • Documentation:.docx,.pdf,.txt
   • Picture:.jpg,.png
   • Audio Video:.mp3,.mp4,.mov
4. After uploading, the system automatically extracts the content. For example, PDF extracts paragraphs and MP3 transcribes text.
5. Check the results and click "Export" to save.

API Data Pulling

1. Select the "API" data source.
2. Enter the API configuration, for example:

{
"contentUrl": "https://api.example.com/data",
"getDemandFormat": "json",
"customKeys": [{"key": "category", "desc": "分类"}]
}

3. Click on "Test" to make sure the data is returned correctly.
4. After the test passes, click "Start Processing" to generate structured data.

integrated knowledge base

1. After processing the data, click Integrate.
2. Select a target platform, such as OpenAI Storage or Dify Datasets.
3. Enter the platform's API key (generated on the target platform).
4. Click on "Connect" and the data is automatically uploaded.
5. When customizing the integration, copy the API code provided by the platform to your project.

Timed Task Setting

1. On the Dataset page, click Settings.
2. Select Schedule Update and set it to Every 24 hours.
3. After saving, the system will automatically capture and process the data in the background.

Featured Function Operation

Audio/Video Extraction

1. upload .mp4 Documentation.
2. The system generates a timeline and dialog text, such as "00:01 - Hello".
3. Preview results and then export them, suitable for digital people or podcast data processing.

natural language field extraction

1. In the crawl settings, enter a prompt, such as "Extract article title and date".
2. The system automatically recognizes and organizes fields based on prompts.

Handling large files

1. Upload hundreds of MB of PDFs or videos.
2. The system is processed in segments and provides fully structured data upon completion.

caveat

• The free version limits the number of datasets and processing capacity, upgrading the paid version unlocks more resources.
• Large files or complex tasks may require more Token, which can be bound to an external model (e.g. OpenAI).
• You can view the progress or abort a task in the Task Manager.
• A private deployment version (Docker) is being developed for enterprise users.

Supametas.AI has a user-friendly interface with guides for each step. It is recommended to try the free version first and then upgrade as needed once you are familiar with it.

application scenario

1. Enterprise Knowledge Base Construction
   Financial firms can use it to crawl regulatory web pages and PDFs, organize them into structured data, and feed them to AI for analysis.
2. Digital Human Development
   Upload audio and video clips, extract dialog and timeline, and generate training dataset.
3. E-commerce data management
   Grab product listings and details at regular intervals and organize them into JSON to optimize inventory analysis.

QA

1. What are the limitations of the free version?
   The free version has no time limit, but the number of datasets and processing capacity are limited and suitable for trial use.
2. What size files are supported?
   Handles files of hundreds of megabytes, such as long documents or high-definition videos.
3. How do you ensure data privacy?
   Cloud services encrypt transmission, and Docker Private Deployment Edition keeps data completely localized.