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JsonLLM

4.2
💬94
💲Free

JsonLLM simplifies API creation using JSON schema and enables efficient structured data extraction from documents. It helps users automate data extraction processes with minimal effort and at a significantly lower cost compared to alternatives like GPT-4.

💻
Platform
web
APIData extractionJSONLLMPDFSchemaStructured data

What is JsonLLM?

JsonLLM is a tool that creates APIs based on JSON schema and extracts structured data from documents like PDFs and text files. It is designed for developers and data professionals who need to quickly generate APIs for data extraction tasks. The main problem it solves is the inefficiency of manually creating APIs for structured data extraction, offering a faster and more cost-effective solution.

Core Technologies

  • JSON Schema
  • API Creation
  • Structured Data Extraction
  • PDF Processing
  • Text Document Analysis

Key Capabilities

  • Create APIs from JSON schema
  • Extract structured data from PDFs and text documents

Use Cases

  • Extract contact information from documents
  • Develop APIs for data extraction workflows

Core Benefits

  • Quick API creation from JSON schema
  • Cost-effective solution (50 times cheaper than GPT-4)
  • Efficient structured data extraction from PDFs and text documents

Key Features

  • API creation from JSON schema
  • Structured data extraction from PDFs and text documents

How to Use

  1. 1
    Define the required JSON schema for the API.
  2. 2
    Use JsonLLM to generate an API based on the schema.
  3. 3
    Deploy the API to extract structured data from documents.

Frequently Asked Questions

Q.What does JsonLLM do?

A.JsonLLM allows you to quickly create APIs that follow a given JSON schema and extract structured information from PDFs and text documents.

Q.How does JsonLLM compare to GPT-4 in terms of cost?

A.JsonLLM is 50 times cheaper than GPT-4.

Q.Can JsonLLM extract data from PDFs?

A.Yes, JsonLLM can extract structured data from PDFs and text documents.

Pros & Cons (Reserved)

✓ Pros

  • Quick API creation
  • Cost-effective (50 times cheaper than GPT-4)
  • Structured data extraction from PDFs and text documents

✗ Cons

  • Limited information provided in the context to determine comprehensive cons.

Alternatives

No alternatives found.